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In the visual inspection of wooden boards and housing materials, while we want to retain good products with variations in wood grain and color, we cannot overlook surface scratches and dirt. If we classify even the wood grain as defective, it will increase the number of verification tasks and the need for rework decisions. "Gemini eye" is an appearance inspection AI that learns from good products and detects areas that are "different from usual." It can be evaluated with a small amount of good product data, eliminating the need to gather a large number of defective products. Even for items with natural individual differences, such as scratches on wooden boards, it detects appearance defects while maintaining the range of good products. Abnormal areas are displayed on a heat map, allowing on-site verification of where defects were identified. The judgment results can be viewed in images, numbers, and graphs, which also aids in sharing inspection standards and explaining quality checks. In addition to detecting unknown defects, it can also display known defects by type. We can consult on everything from selecting imaging equipment to inspection devices, considering ways to reduce variability in visual inspections and automate the process. 【Features】 ■ Accommodates variations in wood grain and color ■ Detects surface scratches and dirt ■ Displays abnormal areas on a heat map ■ Proposes imaging equipment and inspection devices *For more details, please refer to the PDF document or feel free to contact us.
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In the visual inspection of metal parts, factors such as gloss, reflection, and machining marks can make it difficult to see rust and dents. There are often situations in the field where it is unclear whether the variations are due to individual differences in good products or if they should be classified as defects. "Gemini eye" is an appearance inspection AI that learns from good products and detects areas that are "different from usual." It can be evaluated with a small amount of good product data, eliminating the need to collect a large number of defective products. It is capable of inspecting appearance defects in metal parts, such as rust on bearings and dents on nuts. Abnormal areas are displayed on a heat map, allowing on-site verification of where defects were identified. The judgment results can be viewed in images, numbers, and graphs, making it effective for sharing inspection standards and explaining quality confirmations. In addition to detecting unknown defects, it can also display known defects by type. Consultation is available from the selection of imaging equipment to inspection devices, and replacement of visual inspections or image processing inspections can be considered. 【Features】 ■ Detects rust, dents, scratches, etc. ■ AI learning possible with only good products ■ Abnormal areas displayed on a heat map ■ Proposals for imaging equipment and inspection devices *For more details, please refer to the PDF document or feel free to contact us.
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In visual inspections of automotive parts and mass-produced components, there are moments of uncertainty about how much damage or dents can be tolerated. When the judgment varies depending on the inspector, it increases the burden of verification in subsequent processes and quality control. "Gemini eye" is an appearance inspection AI that learns from good products and detects areas that are "different from usual." It can be evaluated with a small amount of good product data, eliminating the need to collect a large number of defective products. It addresses issues such as dents on nuts, rust on bearings, and cuts on rubber parts. Abnormal areas are displayed on a heat map, allowing on-site verification of where defects were identified. The judgment results can be confirmed through images, numbers, and graphs, making it effective for sharing inspection standards and training. In addition to detecting unknown defects, it also supports the display of known defects by type. Consultation is available from the selection of imaging equipment to inspection devices, allowing for a phased approach from assisting existing visual inspections to automation. Proposals are made with an eye toward operations tailored to line conditions and target objects. 【Features】 ■ AI learning possible with only good products ■ Detection of scratches, dents, rust, etc. ■ Abnormal areas displayed on a heat map ■ Proposals for imaging equipment and inspection devices *For more details, please refer to the PDF document or feel free to contact us.
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In the inspection of electronic substrates and fine design patterns, while we do not want to miss tiny scratches or dirt, there are times when we may inadvertently pick up slight positional deviations of good products. The "GE-03" is an appearance inspection device that can perform AI inspections of defects as small as 0.1mm on a tabletop. The AI learns from dozens of good products and reduces false positives, which were difficult to control with conventional image processing methods, to less than 1/10. It automatically corrects the positional deviations of products on the stage, thereby reducing variations in position and rotation before AI detection, achieving stable inspections. Standards can be set for each inspection area, allowing for flexible adjustments such as strict scrutiny of areas of interest while being lenient on others. It supports inspections for scratches, dirt, presence or absence of parts, dents, foreign objects, and more. The judgment results can be confirmed on a large screen, and the system can be provided with cameras, lighting, fixtures, and GPU-equipped PCs. This device is also easy to use for quality checks of small workpieces and in-process inspections. 【Features】 ■ Inspects defects of 0.1mm ■ Reduces false positives to less than 1/10 ■ Automatic position correction ■ Inspection standard setting for each area ■ Easy to implement on a tabletop *For more details, please refer to the PDF document or feel free to contact us.
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One of the challenges in inspecting fibers and roll materials is the over-detection that picks up variations in good products. The "Fiber and Roll Inspection Device" is an appearance inspection device that combines image processing and AI to significantly reduce over-detection. It employs a two-stage inspection process where defect candidates are extracted through image processing and then re-evaluated by AI. This approach addresses the variations in good products that were difficult to manage with conventional image processing inspections, reducing over-detection to less than 1/10. The appearance inspection AI "Gemini eye" learns good products and, along with a periodic pattern analysis algorithm, does not react to "slight differences" such as tilting or distortion, but detects dirt and scratches. It also supports high-speed inspections with multiple cameras, reliably inspecting defects as small as 0.1mm while processing materials up to 1200mm wide at a speed of 50m/min. Since we can provide the imaging environment, fixtures, and inspection devices together, we aim to achieve inspection accuracy tailored to on-site challenges. 【Features】 ■ Two-stage inspection using image processing × AI ■ Reduces over-detection to less than 1/10 ■ Capable of inspecting defects as small as 0.1mm ■ High-speed judgment processing at 50m/min *For more details, please refer to the PDF document or feel free to contact us.
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Unable to collect defective products, and complex rule settings take time. The 'GE-01' responds to the automation of such visual inspections. Equipped with our proprietary unsupervised machine learning algorithm (patent pending), it allows the use of AI from learning just a few good products. It detects "something different" without being consumed by the collection of defective product data. With inspection speeds of up to 40ms, it sufficiently covers high-speed lines. It also supports simultaneous inspection of up to 10 angles and can be smoothly integrated into manufacturing and inspection lines with its gate-type structure. Flexible configuration changes to suit the site, such as size adjustments and additional front and rear mechanisms, are also possible. Since multiple AI models can be registered, changing the products to be inspected is just a touch away. You can utilize new features and improved AI algorithms added daily, leading to an upgrade in visual inspection after installation. It can also be used for automation that was previously given up on, as it is provided as an integrated hardware solution. 【Features】 ■ Can learn with only good products ■ Supports high-speed lines and multiple angles ■ High-precision AI technology ■ Flexible configuration changes ■ Simple and user-friendly UI *For more details, please refer to the PDF materials or feel free to contact us.
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One of the challenges in automating visual inspections is dealing with the differences in appearance between products and addressing defects that have not been encountered before. The "Gemini eye series" is an AI for visual inspection that caters to various manufacturing environments. We offer a lineup that includes "Gemini eye" for detecting unknown defects, "Gemini eye SV" for detecting known defects that have been pre-learned, and "Gemini eye Integration" for detecting both unknown and known defects. Compatible with all Jetson series, it can be set up in one day and implemented on the same day, allowing for a speedy advancement of inspection automation on-site. With a simple and user-friendly UI, it is easy to handle even for sites that are new to AI visual inspection, and we welcome consultations on how to utilize it according to the products you wish to inspect. It has been adopted and considered by various industries, including major automobile manufacturers. 【Features】 ■ Setup completed in one day ■ Can be implemented on the same day ■ Simple and user-friendly UI ■ Compatible with various products ■ Compatible with all Jetson series *For more details, please refer to the PDF document or feel free to contact us.
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Our group supports DX for customers in the manufacturing, construction, and logistics industries, and provides assistance in procuring IT personnel needed by business companies, major system integrators, and consulting firms. In industry-specific areas where business knowledge and individual customization are essential, we flexibly respond using our DX development platform "Orizuru," and by accumulating insights gained there, we evolve the standard functions of the development platform. We envision a future where each industry develops sustainably through the evolution of products and people, and by building systems to realize this, we contribute to the creation of a sustainable society. 【Business Activities】 ■ Digital Transformation Support ■ IT Personnel Procurement Support *For more details, please download the PDF or feel free to contact us.
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The concept of advancing manufacturing based on digital models such as 3D is important for sharing design information more accurately and using it consistently through to later processes. In operations centered around drawings, there are often situations where communication and reinterpretation are cumbersome, but by focusing on models, it becomes easier to minimize discrepancies in information. However, in practice, even when models are created, actual operations may revert to drawings or individual confirmations. As a result, information held during design can be lost midway through the process, often leading to re-checking and inconsistencies in judgment. The tool that aims to establish this model-centric approach in practice is 'Orizuru 3D'. Through shape recognition, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making models easier to use in subsequent processes. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article How does manufacturing change with MBE (Detailed Design)? Features of Model-Based Development https://www.cct-inc.co.jp/koto-online/archives/76
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The concept of using models to advance design and verification from the early stages of development directly leads to a reduction in the number of prototypes and an increase in development speed. If more decisions can be made upstream, it becomes easier to minimize the burden of corrections and confirmations in later processes. However, on-site, the information obtained from models is often not fully utilized in later processes, and issues frequently surface during the prototyping and adjustment stages. If challenges that should have been identified early on get buried along the way, the rework required later increases significantly. 'Orizuru 3D' connects these early decisions to practical applications. Through shape recognition, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to use the information obtained upstream in the next processes. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download and view the PDF. ■ Reference Article What is Model-Based Development (MBD)? A thorough explanation of its benefits and case studies https://www.cct-inc.co.jp/koto-online/archives/31
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In product development, the ability to centrally manage information from planning, design, manufacturing, to maintenance directly contributes to the overall efficiency of operations. When information is separated by process, it can take time to confirm or hand over, leading to the need to review the same content multiple times. However, on the ground, data is often fragmented by the departments that use it, and the design intent and shape information may not adequately reach subsequent processes. If this situation continues, delays in decision-making and discrepancies in understanding can accumulate, becoming factors that hinder overall optimization. The solution to lowering the barriers between departments is 'Orizuru 3D'. Through shape recognition, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making product information easier to use within the workflow. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is PLM (Product Lifecycle Management)? Explaining the functions of the system and the benefits that can be realized through implementation. https://www.cct-inc.co.jp/koto-online/archives/27
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In product development, the uninterrupted flow of information across design, manufacturing, and maintenance directly correlates with the speed of decision-making and the reduction of rework. It is essential to create a state where the same data can be connected and used, rather than having separate information for each department. However, on-site, information from the design phase is often not adequately passed on to subsequent processes, leading to situations where documents must be searched for again or previous processes revisited for confirmation. Continued fragmentation like this can result in variability in decision-making and delays in response. The solution to this information disconnect is 'Orizuru 3D'. Through shape recognition, similarity search, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to facilitate cross-departmental confirmation and decision-making. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is a digital thread in manufacturing? A detailed explanation of its differences from digital twins and use cases. https://www.cct-inc.co.jp/koto-online/archives/379
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Instead of sequentially handing over design and manufacturing, related departments share information early on and proceed in parallel. This approach directly contributes to shortening development time and reducing rework. If decisions from the previous process reach the next process quickly, it becomes easier to advance discussions and preparations. However, on-site, the information and timing used by each department often misalign, and it is not uncommon for the next process to be unable to move forward until the design is finalized. Delays in information transfer can increase back-and-forth confirmations and waiting times, ultimately slowing down the overall speed. 'Orizuru 3D' aims to reduce this waiting and facilitate parallel processes. Through shape recognition, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to advance cross-departmental confirmations and decisions. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download and view the PDF. ■ Reference Article What is Concurrent Engineering that Evolves Product Development? https://www.cct-inc.co.jp/koto-online/archives/198
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Identify issues early in the development process to reduce rework in later stages. This concept of front-loading is crucial for improving manufacturing efficiency. By gathering the necessary information during the design phase and making decisions earlier, the burden of corrections and confirmations that arise later can be minimized. However, on-site, data and decision-making materials used upstream are often not adequately passed on to later stages, leading to problems being discovered during prototyping and adjustments. When information that should have been visible in the previous stage is interrupted, it results in redoing confirmations and postponing decisions, ultimately increasing rework. The tool that connects these proactive efforts to practical application is 'Orizuru 3D.' Through shape recognition, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to leverage upstream decisions in subsequent stages. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is Front-Loading? Explanation of Basic Concepts and Benefits https://www.cct-inc.co.jp/koto-online/archives/366
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How to directly link design data to processing and manufacturing preparation. This is an important theme in improving productivity and preventing rework. If 3D data can be smoothly transferred to subsequent processes, it can reduce verification work and expedite estimates and manufacturing preparations. However, the situation on the ground is not that simple. Even if 3D modeling is progressing in the design department, the manufacturing side still faces issues with interpreting drawings and individual confirmations, leading to a disconnect in information. When this gap occurs between design and manufacturing, it results in repeated confirmations of the same shape, leading to variations in judgment and delays in response. The solution to this design-manufacturing gap is 'Orizuru 3D.' Through shape recognition, similarity searches, automatic estimates, and lightweight 3D displays, it expands design data into procurement and manufacturing preparation, accelerates on-site decision-making, and supports the creation of workflows that are less reliant on individual expertise. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is CAM/CAD? Explaining the differences from CAE and how it is utilized in manufacturing https://www.cct-inc.co.jp/koto-online/archives/330
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BIM is a concept that not only represents shapes in three dimensions but also handles information such as components and attributes, connecting the processes from design to construction and maintenance. When shapes and information are linked together, the effort of going back to separate documents for verification and sharing can be reduced. However, on-site, even if a 3D model is created, that information is often not sufficiently utilized in subsequent processes or related departments, leading to situations where documents need to be searched again for verification. While shapes are visible, if information does not flow, it can lead to delays in decision-making and discrepancies in understanding. 'Orizuru 3D' aims to eliminate this divide and connect 3D data to the next process. By providing lightweight 3D visualization, it makes it easier for related departments to confirm the same shapes, and through automatic estimation, it facilitates the flow from estimation to procurement and manufacturing process design. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is BIM? Explanation of differences from CAD, advantages and disadvantages, and software selection https://www.cct-inc.co.jp/koto-online/archives/713
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Utilizing 3D data to streamline verification and simulation during the design phase leads to preventing rework and facilitating consensus. However, in practice, the environment where stakeholders can work with the same model is often not established, necessitating alignment of understanding with each verification, which can lead to delays in decision-making. If this situation persists, the back-and-forth of verification tasks increases, resulting in a slowdown of overall business speed and the occurrence of rework. "Orizuru 3D" is a product that supports estimation, design, and procurement operations using 3D data to address these challenges. By facilitating sharing and verification among stakeholders through lightweight 3D visualization, and by combining it with automated estimation, it helps to mitigate delays in decision-making and the tendency for operations to become reliant on specific individuals. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. 【Reference Article】 What should BIM/CIM tools utilizing 3D models look like? https://www.cct-inc.co.jp/koto-online/archives/307
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BIM is gaining attention as a concept that connects design, construction, and maintenance management by not only representing shapes in three dimensions but also handling information such as components and attributes. However, in practice, even when creating 3D models, that information is often not fully utilized in subsequent processes or related departments, leading to situations where one has to revert to separate documents for verification and sharing. It is crucial to create an environment where stakeholders can make decisions while viewing the same data without separating shape from information. 'Orizuru 3D' is a product designed to address these challenges by expanding the use of 3D data into estimation, procurement, and manufacturing process design. Its lightweight 3D display makes it easier for related departments to confirm the same shape, and automatic estimation enhances the speed and reproducibility of decision-making. [Features] ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download and view the PDF. [Reference Article] What is BIM? Explaining the differences from CAD, advantages and disadvantages, and how to choose software https://www.cct-inc.co.jp/koto-online/archives/713
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It is considered important to connect design, verification, and manufacturing using 3D technology to reduce rework and waste. However, in reality, there are many companies where the information generated during the design phase is not sufficiently utilized in the subsequent processes, leading to confirmations and reinterpretations at each stage. When information is interrupted between design, estimation, procurement, and manufacturing, it becomes easy to have back-and-forth movements to previous stages with each decision. If the same content is repeatedly confirmed, it tends to undermine not only the speed of response but also the reproducibility of decisions. 'Orizuru 3D' is a product that addresses these challenges by connecting operations across estimation, design, procurement, and manufacturing process design using 3D/AI technology. It accelerates estimation decisions through rule-based cost estimation and price prediction using machine learning, and facilitates confirmation among stakeholders with lightweight 3D displays. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download and view the PDF. 【Reference Article】 What is Digital Engineering? Explaining the Key Points for Implementation https://www.cct-inc.co.jp/koto-online/archives/71
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Utilizing 3D data should not be limited to the design department but should be expanded to surrounding operations such as assembly, maintenance, explanation, and procurement, leading to overall efficiency in business operations. On the other hand, in practice, the 3D data created by design is often not sufficiently utilized by other departments, resulting in a return to 2D drawings and individual confirmations, which can lead to information fragmentation and delays in decision-making. It is important to ensure that the valuable 3D data is not confined to design alone but is leveraged for estimation, procurement, and manufacturing process design. "Orizuru 3D" is a product that addresses these challenges by realizing automated estimation and procurement DX. It supports the efficiency of estimation tasks and reduces dependency through rule-based cost estimation and price prediction using machine learning, targeting estimation, design, procurement, and manufacturing process design. With lightweight 3D visualization, related departments can easily confirm shapes, making it effective in practical applications. **Features** - Automated estimation - Lightweight 3D rendering in a web browser *For more details, please download the PDF.* **Reference Article** Recommendations for Utilizing 3D Data According to Purpose and Environment https://www.cct-inc.co.jp/koto-online/archives/693
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By expanding the use of 3D data not only for design but also for estimation, procurement, and manufacturing, overall business efficiency is expected to improve. On the other hand, in the field, there are still operations that revert to 2D drawings and individual confirmations, leading to reliance on experienced personnel for estimation decisions and difficulties in making decisions across departments while looking at the same shapes, often resulting in time-consuming adjustments. Even if 3D modeling progresses in design, the persistence of traditional methods in later processes can prevent the effective utilization of valuable data. "Orizuru 3D" is a product that addresses these challenges by realizing automated estimation/procurement digital transformation (DX). It supports the efficiency of estimation tasks and reduction of dependency on individuals through rule-based cost estimation and price prediction using machine learning, targeting estimation, design, procurement, and manufacturing process design. With lightweight 3D visualization, it becomes easier for related departments to confirm shapes, making it effective in practical applications. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser * For more details, please download and view the PDF. Reference Article What is 3DA (3D Annotation)? A Complete Guide from Creation Methods to CAD Selection https://www.cct-inc.co.jp/koto-online/archives/29
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In the quality inspection of pumps and valves, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of components with complex shapes or parts with different specifications, traditional inspection methods are prone to oversight, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D utilizes 3D/AI technology to contribute to the efficiency and accuracy of quality inspections in the pump and valve sector by providing shape recognition, similarity search, and a 3D viewer. 【Usage Scenarios】 - Shape inspection of parts - Dimensional measurement of parts - Appearance inspection 【Benefits of Implementation】 - Reduction of inspection time - Improvement of inspection accuracy - Decrease in defective products
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In the quality inspection of packaging machinery, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of complex-shaped mechanical components and various constituent parts, traditional inspection methods are prone to overlook issues, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D utilizes 3D/AI technology to contribute to the efficiency and accuracy of quality inspections in the packaging machinery field by providing shape recognition, similarity search, and a 3D Viewer. 【Usage Scenarios】 - Shape inspection of mechanical components - Dimensional measurement of parts - Appearance inspection 【Benefits of Implementation】 - Reduction in inspection time - Improvement in inspection accuracy - Decrease in defective products
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Summary In the quality inspection of conveying equipment, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of complex-shaped mechanical components and diverse assembly parts, traditional inspection methods are prone to oversight, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D utilizes 3D/AI technology to provide shape recognition, similarity search, and a 3D Viewer, contributing to the efficiency and accuracy of quality inspections in the field of conveying equipment. [Application Scenarios] - Shape inspection of conveying equipment parts - Dimensional measurement of parts - Appearance inspection [Effects of Implementation] - Reduction of inspection time - Improvement of inspection accuracy - Decrease in defective products
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In the quality inspection of conveying equipment, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of complex-shaped mechanical components and diverse assembly parts, traditional inspection methods are prone to overlook issues, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D utilizes 3D/AI technology to contribute to the efficiency and accuracy of quality inspections in the conveying equipment field by providing shape recognition, similarity search, and a 3D viewer. 【Usage Scenarios】 - Shape inspection of conveying equipment parts - Dimensional measurement of parts - Appearance inspection 【Benefits of Implementation】 - Reduction in inspection time - Improvement in inspection accuracy - Reduction of defective products
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In the quality inspection of construction machinery, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of large parts and components with complex shapes, traditional inspection methods are prone to oversight, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D utilizes 3D/AI technology to contribute to the efficiency and accuracy of quality inspections in the construction machinery sector by providing shape recognition, similarity search, and a 3D Viewer. 【Application Scenarios】 - Shape inspection of large parts - Dimensional measurement of components - Appearance inspection 【Benefits of Implementation】 - Reduction in inspection time - Improvement in inspection accuracy - Reduction of defective products
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In the quality inspection of machine tools, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of machine components with complex shapes or materials that require high precision, traditional inspection methods are prone to oversight, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D contributes to the efficiency and accuracy of quality inspections in the machine tool sector by utilizing 3D/AI technology to provide shape recognition, similarity search, and a 3D Viewer. 【Application Scenarios】 - Shape inspection of machine parts - Measurement of part dimensions - Appearance inspection 【Benefits of Implementation】 - Reduction in inspection time - Improvement in inspection accuracy - Reduction in defective products
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In quality inspection of industrial machinery, it is essential to accurately evaluate the shape and appearance of parts and products. Particularly in the inspection of parts with complex shapes or a variety of machine components, traditional inspection methods are prone to overlook issues, which can lead to variations in quality and the occurrence of defective products. Orizuru 3D contributes to the efficiency and accuracy of quality inspections in the industrial machinery sector by utilizing 3D/AI technology to provide shape recognition, similarity search, and a 3D Viewer. 【Usage Scenarios】 - Shape inspection of machine parts - Dimensional measurement of parts - Appearance inspection 【Benefits of Implementation】 - Reduction in inspection time - Improvement in inspection accuracy - Decrease in defective products
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"Orizuru 3D" realizes automated estimation/procurement DX. It automates tasks such as estimation, design, procurement, and manufacturing process design, reducing dependency on individuals and increasing efficiency. Estimation tasks, which often become tacit knowledge among experienced professionals due to various overlapping factors, are automated through approaches such as "rule-based cost estimation" and "price estimation using machine learning," achieving a reduction in dependency on individuals. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF or feel free to contact us.
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Smart manufacturing is a concept that optimizes the entire manufacturing process, not just the factory, but also design, production, logistics, and maintenance. The background includes the diversification of customer needs, the rapid pace of market changes, and labor shortages. In other words, what is required is a system that can move the whole in response to changes, rather than partial optimization. The starting point for this is to connect and organize execution information such as progress, quality, equipment, and inventory within the factory into a usable form on-site. 'Orizuru MES' is structured to allow for phased implementation of necessary functions while leveraging existing equipment, systems, and procedures. It supports the foundation for moving from factory-level optimization to overall optimization by collaborating with ERP, PLM, and FA. 【Features】 ■ Utilizes existing environments and is easy to implement in phases ■ Easily connects information by collaborating with ERP, PLM, and FA ■ Facilitates the use of progress, quality, equipment, and inventory information for improvements *For more details, please download the PDF. ■ Reference Article What is Smart Manufacturing? Introducing initiatives and technologies to realize it https://www.cct-inc.co.jp/koto-online/archives/201
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In CPS, data collected from real factories is analyzed in cyberspace, and the results are returned to the site to facilitate optimization. Therefore, it is crucial to accurately capture the on-site situation and create a foundation that allows for continuous data flow. Personnel allocation, inventory, line optimization, and the early detection of delays and troubles all begin to function only with that foundation in place. "Orizuru MES" leverages existing equipment, systems, and procedures to visualize progress, quality, and equipment information, making it easy to connect this data for on-site use. Since it can be implemented gradually based on necessary functions, it helps create a flow where improvements are returned to the site rather than just ending with data collection for analysis. 【Features】 ■ Easy to visualize progress, quality, and equipment information ■ Utilizes the existing environment and facilitates gradual expansion of data utilization ■ Easy to connect collected data to operational improvements *For more details, please download the PDF. ■Reference Article What are the benefits of CPS (Cyber-Physical Systems)? Examples of utilization by field and global trends https://www.cct-inc.co.jp/koto-online/archives/73
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The more data utilization progresses on the manufacturing site, the more connected devices will increase. A system that connects numerous sensors and equipment seamlessly and can be utilized for real-time monitoring and preventive maintenance becomes the foundation of on-site digital transformation (DX). For this reason, a low-cost and easy-to-handle connection concept is compatible with data utilization that leverages existing equipment. "Orizuru MES" does not just visualize the gathered equipment data but is structured to easily connect it to operations as progress, quality, and equipment information. It allows for gradual implementation of necessary functions without significantly changing existing equipment, systems, or procedures, making it easier to advance towards a smart factory. 【Features】 ■ Facilitates the digitization of existing equipment ■ Makes it easy to utilize collected equipment data for operational improvements ■ Allows for phased implementation of necessary functions, reducing the burden on the site *For more details, please download the PDF. ■ Reference Article What is MQTT? Explaining the three reasons for its utilization and the process for implementation https://www.cct-inc.co.jp/koto-online/archives/705
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The control environment of factories is expanding from an era where it was solely reliant on DCS to a more flexible configuration that combines PLCs, SCADA, and industrial PCs. This makes it crucial to connect and utilize the data generated on-site while leveraging existing equipment. If the control layer and management layer remain separate, improvements and decision-making cannot be fully realized. 'Orizuru MES' is designed to be easily implemented in stages from necessary functions without significantly changing existing equipment, systems, or procedures. By collaborating with ERP, PLM, and FA, it visualizes progress, quality, and equipment information, making it easier to bridge the information gap between control and operations. 【Features】 ■ Utilizes existing equipment information, facilitating visualization ■ Collaborates with ERP, PLM, and FA, making it easier to connect to operational improvements ■ Allows for phased implementation of necessary functions, reducing on-site burden *For more details, please download the PDF. ■ Reference Article What are the differences between DCS, PLC, and SCADA? A comparison of control management systems https://www.cct-inc.co.jp/koto-online/archives/360
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In integrated control, it is important to connect the control of each piece of equipment and to operate the entire process stably. On the other hand, simply visualizing and monitoring does not easily lead to overall optimization, and the question arises as to how to utilize the collected equipment data in operations. This is why a system that connects information obtained on-site to higher-level decision-making is essential. 'Orizuru MES' visualizes progress, quality, and equipment information while leveraging existing equipment, systems, and procedures, making it easier to integrate with ERP, PLM, and FA. Since it can be introduced in stages based on necessary functions, it helps to reduce the fragmentation of information between control and operations, facilitating a smooth transition to a smart factory. [Features] ■ Visualizes equipment data, making it easy to utilize in operations ■ Integrates with ERP, PLM, and FA, facilitating overall optimization ■ Can be introduced in stages based on necessary functions, making it easier to reduce the burden on the site *For more details, please download the PDF. ■ Reference Article What is an integrated control system? Introducing three benefits of implementation and five points to consider during implementation. https://www.cct-inc.co.jp/koto-online/archives/721
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In factory equipment monitoring, it is important not only to grasp the operational status but also to connect the collected data to improvements. SCADA is a system responsible for monitoring control and data acquisition. However, merely having visibility limits the effectiveness of improvements. Value is created when stakeholders share on-site information and use that information for decision-making and operational improvements. "Orizuru MES" does not stop at visualizing equipment data but is structured to easily connect to on-site operations. Therefore, it is characterized by the ease of gradually introducing necessary functions while leveraging existing equipment, systems, and procedures. Furthermore, it collaborates with ERP, PLM, and FA, making it easier to utilize progress, quality, and equipment information, thus advancing the smart factory initiative. 【Features】 ■ Easy visualization of existing equipment data ■ Collaboration with ERP, PLM, and FA for better utilization of equipment data ■ Gradual introduction of necessary functions, making it easier to reduce on-site burden *For more details, please download and view the PDF. ■Reference Article What is SCADA? A Complete Explanation from Basics to Applications [Latest 2025] https://www.cct-inc.co.jp/koto-online/archives/94
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BOP is the foundation for organizing what to use, where to create, and how to create, connecting information from design to manufacturing. When information is scattered across different sites, the intent of the design is not accurately communicated, making it difficult to apply learnings from improvements or defects to the next iteration. "Orizuru MES" is structured to easily implement the connection of manufacturing information on-site. By visualizing process and execution information, it can be operated in conjunction with existing systems, thereby reducing the gap between design and manufacturing and moving closer to a state where improvements can be effectively implemented. 【Features】 ■ Connects and makes process and execution information easy to utilize ■ Easy to operate while integrating with existing systems ■ Can be gradually introduced from necessary functions, making it easy to establish *For more details, please download the PDF. ■Reference Article What is BOP? A clear explanation of the differences from BOM, benefits of implementation, and case studies https://www.cct-inc.co.jp/koto-online/archives/55
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When lead times are extended, work-in-progress increases, making delays in delivery and cost overruns more likely. Moreover, it becomes difficult to respond to market changes, and the capacity on the shop floor tends to be lost. In other words, reducing lead times is not just about shortening time; it is an effort to streamline the flow of the entire factory. 'Orizuru MES' makes it easier to promote this improvement on the shop floor. It allows for easy understanding of progress, inventory, and equipment information, while also making it easier to identify delays and bottlenecks in each process. Furthermore, since it can be implemented in stages while utilizing the existing environment, it becomes easier to start improvements without waiting for a complete overhaul. [Features] ■ Easy to grasp progress, inventory, and equipment information ■ Easy to identify delays and bottlenecks in each process ■ Facilitates gradual improvements while leveraging the existing environment *For more details, please download the PDF. ■Reference Article What is lead time? A clear explanation of its meaning and methods for reduction https://www.cct-inc.co.jp/koto-online/archives/620
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In production management, it is required to maintain quantity, delivery dates, quality, and costs according to the plan. However, as production processes become more complex, simply proceeding according to the plan becomes more challenging. This is why a perspective that connects everything from order receipt to procurement, processes, and actual results is essential. 'Orizuru MES' is suited for creating a foundation that makes production management easier while capturing on-site execution information. It can be gradually implemented from necessary functions while collaborating with existing systems such as ERP and FA, making it easier to advance operational improvements with a focus on QCD without undue strain. 【Features】 ■ Easily integrates with existing systems like ERP and FA ■ Aggregates progress, quality, and equipment information, making it easier to utilize for operational improvements ■ Allows for phased implementation from necessary functions, making it easier to reduce on-site burden *For more details, please download the PDF. ■Reference Article What is production management in manufacturing? Introducing the benefits of system utilization https://www.cct-inc.co.jp/koto-online/archives/18
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In project management, it is important to understand the progress, delays, and workload of each process without disrupting the overall flow. However, simply increasing the management items does not necessarily make the site easier to operate. Identifying the necessary functions and establishing them in a usable form is a prerequisite for making project management effective. In this regard, "Orizuru MES" is structured to allow for the gradual introduction of necessary functions without significantly changing existing equipment, systems, or procedures. It visualizes the progress and results of processes, enhances management levels in a manageable way, and facilitates the transition to a smart factory. 【Features】 ■ Easy to gradually introduce project management from necessary functions ■ Visualizes the progress and results of processes, making them easy to understand ■ Easy to proceed while leveraging existing equipment and systems *For more details, please download the PDF. ■Reference Article Project Management in Manufacturing | Points on Implementation Procedures and System Introduction https://www.cct-inc.co.jp/koto-online/archives/68
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The value of utilizing IoT lies in the ability to connect data collected from machines and equipment to on-site improvements. If it becomes easier to grasp the status and operational rates of production lines, it will be easier to review management that has relied on intuition and manual processes, thereby enhancing the accuracy of planning and decision-making. 'Orizuru MES' makes it easier to build a foundation for such data utilization. Since it allows for the gradual introduction of necessary functions without significantly changing existing equipment, systems, or procedures, data collection, visualization, and integration can be advanced while minimizing the burden on the site. As a result, it becomes easier to develop a system that does not treat IoT utilization as a one-time event but rather leads to the creation of a smart factory. 【Features】 ■ Leverages existing equipment, making it easy to start data collection and visualization ■ Allows for gradual introduction of necessary functions, making it easier to minimize site burden ■ Integrates with ERP, PLM, and FA, making it easier to utilize collected data *For more details, please download and view the PDF. ■ Reference Article Utilization of IoT in Manufacturing | Explanation of Benefits and Implementation Process https://www.cct-inc.co.jp/koto-online/archives/51
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Visualization of the factory is not just about displaying numbers on a screen. It refers to a state where stakeholders can grasp changes on the shop floor, such as progress, inventory, equipment status, and signs of abnormalities, at the same time, allowing for immediate judgment and response. This is why visualization serves as the foundation for productivity improvement and enhancement activities. 'Orizuru MES' makes it easy to implement this visualization in a form that can be used in daily operations. It aggregates on-site data while collaborating with existing equipment and systems, making it easier to share progress, quality, and equipment information. Furthermore, it can be gradually introduced from necessary functions, allowing for a smooth advancement of smart factory improvements while building up on-site enhancements. 【Features】 ■ Visualizes and makes it easy to share progress, inventory, and equipment information ■ Quickly detects abnormalities and delays, making it easier to respond ■ Easy to gradually implement while leveraging the existing environment *For more details, please download and view the PDF. ■Reference Article Is factory visualization necessary? Introducing the benefits and case studies that support this reason. https://www.cct-inc.co.jp/koto-online/archives/129
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In the manufacturing industry, the separation of IT, which handles information, and OT, which operates equipment, can create situations where what happens on the shop floor is not easily connected to management decisions. If the two are connected, it becomes possible to share on-site data in real-time, making it easier to improve productivity, optimize processes, and reduce costs. 'Orizuru MES' facilitates this bridging in on-site implementation. By integrating with existing systems such as ERP, PLM, and FA, it reconnects progress, quality, and equipment information, helping to mitigate the divide between the shop floor and management. Furthermore, it allows for gradual implementation of necessary functions, making it easier to advance smart manufacturing even in factories with legacy environments. 【Features】 ■ Easily connects information across ERP, PLM, and FA ■ Aggregates progress, quality, and equipment data, facilitating quicker decision-making ■ Allows for gradual implementation while leveraging existing environments *For more details, please download the PDF. ■Reference Article What is the integration of IT and OT? Explaining three benefits that cannot be realized individually and successful case studies https://www.cct-inc.co.jp/koto-online/archives/702
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Even if the necessity of MES is understood, one reason why actual implementation does not progress is that it is difficult to demonstrate the return on investment. While there may be a sense of improvement potential on the shop floor, if the effects cannot be explained in a way that leads to management decisions, discussions about smart factory initiatives tend to remain at the conceptual stage. Furthermore, if the premise is to make significant changes from the outset, the burden on the shop floor and the hurdles for approvals also increase. That is why "Orizuru MES" is strong in that it can start gradually from the necessary functions and make it easier to visualize ROI. It can be implemented without making significant changes to existing equipment, systems, or procedures, allowing for a reduction in initial burdens while advancing smart factory initiatives with tangible improvements on the shop floor. 【Features】 ■ Can start with necessary functions, making it easier to reduce initial burdens ■ Visualizes ROI, making it easier to proceed while confirming progress ■ Utilizes existing equipment and systems, making it easy to implement without stopping the shop floor *For more details, please download and view the PDF. ■Reference Article Why is MES Important? Exploring the Key to Realizing Smart Factories https://www.cct-inc.co.jp/koto-online/archives/765
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A smart factory is an initiative that connects the entire manufacturing process through IoT and data utilization, continuously enhancing productivity and quality. It requires not only the automation of equipment but also a review of the flow of processes and information to better operate the entire factory. However, even if the ideal vision is clear, it is not easy to advance equipment updates and system renewals all at once. That is why 'Orizuru MES' adopts a configuration that allows for the gradual introduction of necessary functions while leveraging existing equipment, systems, and procedures. This enables the advancement of smart factory transformation without placing undue burden on the site. 【Features】 ■ Retrofit existing environments and start without a complete overhaul ■ Select necessary sub-packages for a small start and gradual expansion ■ Build a foundation that connects the site and management by collaborating with ERP, PLM, and FA *For more details, please download the PDF. ■Reference Article What is a smart factory? Explaining the benefits, success points, and case studies https://www.cct-inc.co.jp/koto-online/archives/11
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ERP manages the overall planning and core operations of a company. On the other hand, in actual manufacturing sites, it is essential to timely grasp more detailed execution information such as progress, inventory, quality, and equipment status. If there is a discrepancy between planning and the site, it can easily lead to inconsistencies in delivery responses, cost understanding, and improvement decisions. The role of bridging this gap is taken on by 'Orizuru MES.' By collaborating with existing systems like ERP, PLM, and FA, it visualizes what is happening on the shop floor and helps to minimize the discrepancies between planning and execution. Furthermore, it allows for a phased introduction of necessary functions, enabling a gradual approach to overall optimization without the need for a complete overhaul. 【Features】 ■ Easily connects planning and execution by collaborating with ERP, PLM, and FA ■ Visualizes progress, quality, and equipment information, facilitating quicker decision-making ■ Allows for phased implementation of necessary functions, making it easier to reduce the burden on the shop floor *For more details, please download the PDF. ■Reference Article What is the difference between MES and ERP? The system environment required for DX in manufacturing https://www.cct-inc.co.jp/koto-online/archives/184
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