三共精機 Product Lineup

<Webinar Overview> If you have challenges with outdoor transportation, we will present case studies, so please join us. 【On-Demand Streaming】 Webinar (Archive) Date and Time: Always available Number of Participants: No limit Participation Fee: Free *If you would like to watch the webinar, please register using the link below.

In the logistics warehouse industry, a significant amount of time and personnel may be dedicated to outdoor transportation tasks, such as moving materials between buildings and handing over packages outside the warehouse. The inefficiency of these tasks can lead to delays in picking operations and become a bottleneck in the overall workflow. Eve Auto creates an environment where focus can be placed on picking operations by automating these outdoor transports, achieving both labor reduction and improved operational efficiency. 【Usage Scenarios】 - Transportation of materials and parts between warehouses - Assistance with loading and unloading onto trucks - Regular transportation of items within the premises 【Benefits of Implementation】 - Improved efficiency by concentrating personnel on picking operations - Reduction of labor costs associated with outdoor transportation - Reduced burden on workers and enhanced safety

In agricultural settings, transporting harvested goods may require extensive movement and work on rough terrain. Particularly during the busy harvest season, labor shortages can become a serious issue, potentially leading to delays in work and increased costs. Additionally, the physical burden of transporting heavy harvests cannot be overlooked. Our outdoor-compatible unmanned transport vehicle, eve auto, addresses these challenges by automating outdoor transport through self-driving technology, achieving both labor reduction and improved operational efficiency simultaneously. 【Use Cases】 - Transporting harvested goods within the farm - Moving materials and harvested goods between greenhouses - Transport operations during rainy weather or at night - Efficient transport across vast areas 【Benefits of Implementation】 - Labor reduction in transporting harvested goods - Increased efficiency and time savings in transport operations - Reduced physical burden on workers - Stable transport unaffected by weather or time of day

At construction sites, safe and efficient material transportation is required. In particular, moving materials over vast areas or uneven terrain can demand a lot of personnel and time, potentially increasing the burden on workers. Additionally, outdoor work affected by weather carries the risk of project delays. The outdoor unmanned transport vehicle, eve auto, addresses these challenges by automating outdoor transportation with self-driving technology, achieving both labor reduction and improved operational efficiency. 【Usage Scenarios】 - Transporting materials and tools within the construction site - Moving materials between buildings - Transportation tasks during rainy weather or at night 【Benefits of Implementation】 - Reduction in personnel and time required for material transportation - Decreased burden on workers and improved safety - Realization of stable transportation operations unaffected by weather conditions

In the mining industry, there is a need to establish a safe and efficient transportation system for ore transport over vast areas. Particularly, working in outdoor environments that are affected by poor road conditions, slopes, and weather can lead to challenges such as ensuring safety when relying on human labor, increasing the burden on workers, and rising transportation costs. In response to these challenges, the outdoor-compatible unmanned transport vehicle eve auto automates transportation between buildings and outdoor movement through autonomous driving technology, achieving both labor reduction and operational efficiency simultaneously. 【Usage Scenarios】 - Ore transport within mines - Transportation of materials and equipment between fixed points - Transport in poor road conditions and on slopes - Operation in rainy weather and nighttime environments 【Benefits of Implementation】 - Reduction in labor costs - Increased efficiency in transport operations - Ensured safety for workers - Improved productivity through 24-hour operation

In airport cargo transportation, efficient and safe conveyance within the vast premises is essential. In particular, conveyance methods that are unaffected by weather and can operate reliably at night are crucial for business continuity and efficiency. Relying on manual labor for transportation poses challenges such as increased labor costs, greater burdens on workers, and risks of human error. The outdoor-compatible unmanned transport vehicle, eve auto, addresses these issues and realizes the automation and labor reduction of cargo transportation at airports. 【Usage Scenarios】 - Transporting cargo and luggage between fixed points within the airport premises - Operation on a 24-hour basis, including during rain and at night - Implementation with minimal impact on existing infrastructure 【Benefits of Implementation】 - Reduction in labor costs and alleviation of worker burdens - Increased efficiency in transportation operations and shortened lead times - Improved safety and reduced human error

In the port industry, there is a demand for the efficiency and reduction of labor in container transportation over vast areas. In particular, safe and stable transportation that is not affected by weather conditions is crucial. The outdoor unmanned transport vehicle, eve auto, addresses these challenges by simultaneously achieving automation of outdoor transportation and operational efficiency. 【Usage Scenarios】 - Container movement within the port area - Assistance with loading and unloading containers in the yard - Transportation operations during inclement weather or at night 【Benefits of Implementation】 - Reduction in labor costs and alleviation of worker burdens - Acceleration of transportation operations and shortening of lead times - Improved safety and reduction of human errors

<Webinar Overview> With simple operations, AI searches for similar shapes from past drawings. It improves accuracy during estimation and significantly reduces the time required for estimates. "AI Similar Drawing Search" eliminates the task of "searching for past drawings." [On-Demand Streaming] Webinar (Archive) Date and Time: Always available Number of Participants: No limit Participation Fee: Free *If you would like to watch the webinar, please register using the link below.

In the design department of the manufacturing industry, it is essential to effectively utilize past drawing assets to enhance design efficiency. Particularly in the design of similar parts and reuse design, quickly finding the necessary drawings directly contributes to shortening development time and reducing costs. However, conventional keyword searches have faced challenges, as they cannot fully capture the shapes and detailed features of drawings, making it difficult to reach the desired drawings. The AI similar drawing search system addresses these issues by analyzing the shapes and structures of drawings and automatically extracting past drawings and similar parts. 【Usage Scenarios】 - Searching for past similar parts - Selecting parts during reuse design - Searching for reference drawings in estimation tasks - Searching for drawings in the absence of responsible personnel 【Benefits of Implementation】 - Significantly reduces the time and effort spent searching for drawings - Increases the speed of reuse design and estimation tasks - Standardizes drawing search operations that had become reliant on specific individuals

In the construction industry, it is essential to efficiently search for and utilize the drawings of past similar properties for design and estimation purposes. In particular, quickly finding drawings of similar properties leads to design reuse and cost reduction, making it indispensable for improving operational efficiency. Inadequate drawing searches can result in rework, delays in estimates, and even design errors. The AI similar drawing search system analyzes the shapes and features of drawings using AI, allowing for instant searching and extraction of similar property drawings. 【Usage Scenarios】 - Searching for drawings of past similar properties - Considering reuse during design - Streamlining estimation tasks - Searching for drawings in the absence of responsible personnel 【Benefits of Implementation】 - Significant reduction in the effort required to find drawings - Improved operational speed through automatic extraction of similar property drawings - Elimination of dependency on specific individuals and standardization of operations

In the automotive industry, verifying the compatibility of parts is an important process in design changes and supplier selection. Quickly finding past drawings and similar parts directly leads to reduced development lead times and cost savings. However, searching for the desired items among vast amounts of drawing data requires time and effort, and often relies on the experience of the personnel involved. An AI-based similar drawing search system addresses these challenges by analyzing the shapes and textual information of drawings, allowing for the instant search and extraction of similar drawings and related parts, significantly reducing the effort required to find drawings. 【Use Cases】 - Searching for past similar parts - Evaluating submitted drawings from suppliers - Confirming the scope of impact during design changes - Selecting parts when creating estimates 【Benefits of Implementation】 - Accelerating the verification of parts compatibility - Streamlining the design and development process - Standardizing the drawing search tasks that were previously reliant on individual expertise - Reducing costs through reuse design

In the aerospace industry, maintaining the accuracy and consistency of design drawings is extremely important due to the high demands for safety and reliability. Particularly in long-term projects or those involving numerous components, it is essential to quickly and accurately identify past design data and similar parts to promote technical standardization. However, the task of searching for necessary information among vast amounts of drawings requires significant time and effort and is prone to becoming personalized. An AI-based similar drawing search system addresses these challenges by analyzing the shapes and features of drawings, allowing for the instant search and extraction of similar drawings, significantly reducing the effort involved in finding drawings. 【Use Cases】 - Searching for similar parts from past design data - Identifying standard parts and reuse design - Drawing management for technical standardization - Confirming the impact scope during design changes 【Benefits of Implementation】 - Improved operational efficiency through reduced drawing search time - Enhanced design quality and promotion of standardization - Leveling out the previously personalized drawing search tasks - Shortening development periods through reuse design

In the electronics industry, particularly in the field of circuit design, leveraging past design assets and quickly identifying similar circuits are essential for improving development efficiency. In increasingly complex circuit design, efficiently locating the necessary drawings becomes a time-consuming and labor-intensive challenge. If past design data and similar components cannot be accurately grasped, it may lead to design duplication and delays in optimal component selection. The AI similar drawing search system addresses these challenges by combining AI-based shape analysis of drawings with OCR technology for text search, thereby promoting design digital transformation (DX). ## Use Cases * Search for similar designs from past circuit diagrams to streamline reuse design. * Collaborate with related documents such as parts lists and specifications to quickly understand design intent. * Achieve standardized drawing searches that do not rely on the experience of individuals. ## Benefits of Implementation * Significantly reduce the time and effort spent searching for drawings. * Increase the speed of reuse design and estimation tasks. * Improve design quality and eliminate dependency on specific individuals.

In the field of robotic industry mechanism design, utilizing past design assets and quickly identifying similar parts are essential for improving development speed. Particularly when dealing with complex mechanisms and numerous components, it can take a lot of time to find the desired drawings. Additionally, searches that rely on the experience of the person in charge may lead to information becoming personalized and the risk of missing searches. An AI similar drawing search system addresses these challenges by analyzing the shape and structure of drawings and instantly searching for and extracting similar drawings. 【Usage Scenarios】 - Searching for past robot component drawings - Reusing designs of similar mechanism parts - Searching for reference drawings during new designs - Identifying parts in estimation tasks 【Benefits of Implementation】 - Significant reduction in time and effort spent searching for drawings - Increased speed in reuse design and estimation tasks - Standardization of search levels among personnel

<Webinar Overview> We will introduce "Logistics Warehouse 3D," which allows anyone to quickly and easily create 3D layouts of factory lines and the arrangement of items in warehouses. The created data can also be animated as a video or output as CAD data. [On-Demand Streaming] Webinar (Archive) Date and Time: Always available Number of Participants: No limit Participation Fee: Free *If you would like to watch the webinar, please register using the link below.

In the manufacturing industry, optimizing the flow planning and equipment layout within logistics warehouses is essential to achieve smooth coordination with production lines. In particular, the series of processes such as the inbound and outbound transportation of materials, and the storage and shipping of finished products are directly linked to production efficiency, making a layout design without waste crucial. This system addresses these challenges by intuitively visualizing warehouse layouts in 3D and streamlining everything from flow planning to cost estimation, thereby supporting the strengthening of coordination with production lines. 【Usage Scenarios】 - Optimization of material supply routes to the production line - Smooth transportation to the finished goods shipping area - Reduction of worker travel distance and improvement of safety - Efficiency of warehouse operations linked to production planning 【Benefits of Implementation】 - Increased operational rate of production lines - Reduction of logistics costs - Decrease in work errors and improvement of safety - Quick response to layout changes

In the retail industry, accurate inventory management and efficient warehouse operations are directly linked to improving customer satisfaction and reducing costs. In particular, quickly and accurately understanding a wide variety of products and arranging them appropriately is crucial for inventory visibility and the efficiency of picking operations. Inadequate inventory management can lead to lost sales opportunities due to stockouts and increased storage costs due to excess inventory. Our logistics warehouse 3D layout creation system supports the resolution of these issues by allowing for the creation of warehouse layouts, flow planning, 3D presentations, and estimates all in one go. 【Usage Scenarios】 - Optimization of product placement within the warehouse - Efficiency of picking routes - Effective use of inventory space - Improvement of worker movement paths 【Benefits of Implementation】 - Accurate understanding and visualization of inventory - Reduction in picking time - Improvement in storage efficiency - Reduction in operational errors

In the EC business, rapid and accurate picking operations are directly linked to customer satisfaction. In particular, to respond to the increase in the number of items handled and fluctuations in orders, it is necessary to shorten the movement distance of workers and plan efficient pathways without waste. An inadequate layout can lead to increased picking times and mistakes, resulting in decreased operational efficiency. This system addresses these challenges by intuitively visualizing the warehouse layout in 3D and supporting optimal pathway planning, thereby contributing to improved picking efficiency. 【Usage Scenarios】 - Streamlining picking operations due to increased shipping volume from EC sites - Reducing work time by shortening workers' movement distances - Optimizing shelf arrangements to accommodate an increase in the number of items - Reducing dead space within the warehouse 【Benefits of Implementation】 - Shortening picking operation times - Reducing work errors - Effective utilization of warehouse space - Overall reduction in logistics costs

In the automotive parts industry, accurate storage and rapid picking of a wide variety of parts are required. Particularly in parts management, effectively utilizing limited space and optimizing the workflow of workers leads to increased productivity and reduced errors. An inappropriate layout can result in time spent searching for parts and decreased work efficiency. The logistics warehouse 3D layout creation system addresses these challenges by intuitively visualizing warehouse layouts in 3D and streamlining everything from workflow planning to cost estimation, thereby supporting smart management of automotive parts. 【Usage Scenarios】 - Consideration of optimal shelf arrangements based on the types and sizes of parts - Reduction of work time through optimization of picking routes - Effective utilization of inventory space and maximization of storage capacity - Improvement of safety through analysis of worker movement patterns - Simulation and effectiveness measurement during layout changes 【Benefits of Implementation】 - Increased efficiency and cost reduction in parts management operations - Improved picking accuracy and reduction of shipping errors - Enhanced storage capacity through effective use of warehouse space - Improvement of the work environment and increased productivity

In the construction materials industry, effective utilization of storage space and ensuring smooth inbound and outbound routes for materials are crucial. Particularly, to efficiently manage construction materials of various shapes and sizes and to achieve rapid supply to the site, planning the flow within the warehouse is essential. An inappropriate layout can increase work time and heighten the risk of material damage. The logistics warehouse 3D layout creation system addresses these challenges by allowing intuitive operation to create warehouse layouts, visualize them in 3D, simulate flow, and generate estimates all in one go, thereby supporting the efficiency of material inbound operations. 【Usage Scenarios】 - Layout design to enhance storage efficiency of construction materials - Optimization of material inbound and outbound routes - Image sharing with on-site workers - Streamlining the estimate creation process 【Benefits of Implementation】 - Reduction of dead space within the warehouse - Shortening of material handling time - Optimization of workers' travel distance - Reduction of time required for estimate creation

<Webinar Overview> Would you like to promote DX with the document digitization solution "XC-Gate"? <Webinar Information> Date and Time: [Recorded Broadcast] May 29, 2024 (Wednesday) 10:00 AM - 11:00 AM [Recorded Broadcast] June 4, 2024 (Tuesday) 10:00 AM - 11:00 AM [Recorded Broadcast] June 6, 2024 (Thursday) 10:00 AM - 11:00 AM Number of Participants: 20 per session Participation Fee: Free *You can view the application and webinar details from the link below.

In quality inspection within the manufacturing industry, accurate recording and rapid sharing of inspection results are essential for maintaining and improving product quality. In particular, handwritten records and transcription tasks increase the risk of human error and can take time for aggregation and analysis. This may lead to delays in early problem detection and improvement activities. XC-Gate addresses these challenges by digitizing paper forms and completing the process from on-site input to data utilization. 【Usage Scenarios】 - Product inspection records on the manufacturing line - Data entry for pre-shipment inspections - Recording the occurrence of defective products - Real-time sharing of inspection results 【Benefits of Implementation】 - Improved accuracy of inspection records and reduction of transcription tasks - Rapid situational awareness through immediate sharing of inspection data - Visualization of quality trends and promotion of improvement activities through graphical displays - Reduction of management costs through paperless operations

In the logistics industry, delivery record operations require accurate and prompt information input and sharing. In particular, real-time understanding of delivery status and smooth coordination with subsequent operations are essential for improving customer satisfaction and operational efficiency. Paper-based records tend to face challenges such as transcription errors, delays in information sharing, and the risk of loss. XC-Gate addresses these issues by digitizing paper forms directly and completing everything from on-site input to data utilization, thereby supporting improvements in operational efficiency and the accuracy of information management. 【Usage Scenarios】 - Direct input by delivery drivers using smartphones or tablets - Confirmation of package handover and photographic records of damage - Real-time reporting of delivery completion - Recording of operating routes and times 【Benefits of Implementation】 - Significant reduction in transcription work related to delivery records - Decrease in input errors and improvement in record accuracy - Smoother business coordination through real-time information sharing - Reduction in document management costs through paperless operations

At construction sites, accurately recording daily progress and sharing it among stakeholders is crucial for the smooth advancement of the project and ensuring quality. In particular, work reports and records of material deliveries require prompt and accurate information transmission. Paper-based records can lead to issues such as transcription errors and delays in information sharing. The electronic field report system XC-Gate addresses these challenges and supports the promotion of digital transformation (DX) at the site. 【Usage Scenarios】 - Work reports and progress status recording at the site - Recording of material deliveries and usage - Situation recording through photos and handwritten notes - Input in offline environments 【Benefits of Implementation】 - Significant reduction in transcription work from paper, leading to improved operational efficiency - Real-time sharing of input data for quick understanding of the situation - Enhanced accuracy in progress management through detailed records with photos and handwritten notes - Reduction in document management costs through paperless operations

In the infrastructure industry's inspection operations, accurate and efficient recording is required to maintain equipment safety and quickly grasp the situation. Particularly during outdoor inspections or while moving, recording on paper and later transcribing the data requires time and effort, and carries the risk of human error. Accurate inspection records are essential for extending the lifespan of equipment, predictive maintenance, and rapid decision-making. XC-Gate addresses these challenges by facilitating smooth data input and utilization on-site, thereby supporting improvements in operational efficiency and record accuracy. 【Usage Scenarios】 - Recording equipment inspections outdoors - Maintenance and upkeep records for infrastructure equipment - Records of safety inspections and regular checks - Attachment of photos and handwritten notes on-site 【Benefits of Implementation】 - Reduction of transcription work from paper, shortening business hours - Real-time sharing and aggregation of input data for quick situational awareness - Enhanced accuracy of inspection content through detailed records with photos and handwritten notes - Easier reference and analysis of past inspection history through centralized data management.

In the energy industry, accurate record-keeping and prompt reporting on-site are crucial for the stable operation of equipment and ensuring safety. In particular, inspection records and work reports serve as the foundation for early detection of equipment anomalies and prevention of accidents. Paper-based records can lead to issues such as transcription errors, loss of information, and delays in information sharing, which can hinder quick decision-making and improvement activities. XC-Gate addresses these challenges by digitizing on-site forms directly, allowing for the completion of data entry and utilization on-site, thereby supporting improved operational efficiency and reliability. 【Usage Scenarios】 - Tablet input for equipment inspection records - Real-time sharing of work reports - Digitization and searchability of maintenance history - Detailed records through photos and handwritten notes 【Benefits of Implementation】 - Significant reduction in transcription work leading to time savings - Decreased input errors and improved accuracy of records - Quick responses through real-time information sharing - Streamlined maintenance operations through centralized data management

This is a support system for creating inspection sheets that automates the extraction of dimension information from drawings and streamlines the process from creating inspection sheets to judgment. ■ Automatic extraction of dimensions from drawings By simply enclosing DWG/DXF or PDF drawings, dimension values, tolerances, and comments are extracted in bulk, automatically creating inspection sheets. This reduces transcription work and prevents input errors. ■ Automation of measurement and judgment Just input the measurement values, and the OK/NG judgment is automatically displayed. It links the drawings with the list, improving the efficiency of the confirmation process. ■ Reading drawings using AI × OCR Dimension values from images or PDF drawings are recognized using AI × OCR, extracting numbers, text, and symbols. This also streamlines the creation of inspection sheets from paper drawings. ■ Flexible output and operational support Output is possible in Word/Excel/CSV formats. It also supports the creation of forms tailored to your company’s templates and integration with existing systems. If you are considering improving the efficiency of inspection processes or enhancing quality, please feel free to contact us.

In the automotive manufacturing industry, accurate dimension management based on drawings and the creation of accompanying inspection sheets are required for parts inspection. Particularly in the inspection of parts with complex shapes and strict tolerances, the precise extraction of dimension information from drawings and the recording of inspection results are key to quality assurance. Manual transcription errors and oversight can lead to a decline in product quality and rework. This system addresses these challenges by automatically extracting dimension information from drawings and streamlining the process from inspection sheet creation to judgment. 【Usage Scenarios】 - Dimensional inspection of automotive parts - Extraction of inspection items from drawings - Recording and management of inspection results 【Benefits of Implementation】 - Reduction in time required for inspection sheet creation - Decrease in transcription and input errors - Standardization and efficiency of inspection operations

In the aerospace industry, accurately extracting dimensional information from drawings and creating inspection sheets based on that information is crucial for ensuring product safety and reliability. Particularly in the inspection of parts that require complex shapes and tight tolerances, manual transcription errors and oversight can lead to significant issues. An automatic inspection sheet creation system from drawings addresses these challenges and supports the efficiency and quality improvement of the inspection process. 【Usage Scenarios】 - Structural verification of parts with complex shapes - Inspections requiring strict tolerance management - Reduction of transcription work between drawings and inspection sheets - Efficiency improvement in creating inspection sheets from paper drawings 【Benefits of Implementation】 - Reduction in the time required to create inspection sheets - Quality improvement by preventing transcription and input errors - Efficiency in verification tasks through the linkage of drawings and inspection sheets - Standardization of inspection operations

In the semiconductor manufacturing industry, particularly in wafer inspection, the precise management of fine dimensions and tolerances is directly linked to product quality. Mistakes in transcribing dimension information from drawings and the complexity of verification tasks can increase the risk of inspection delays and quality deterioration. The "Automatic Inspection Sheet Creation System from Drawings" consistently supports these challenges by automatically extracting dimensions from drawings, creating inspection sheets, and making OK/NG judgments, contributing to the efficiency and accuracy of inspection operations. 【Usage Scenarios】 - Dimensional inspection in wafer manufacturing - Extraction of inspection items from drawings - Automatic judgment of inspection results - Creation of inspection sheets from paper drawings 【Benefits of Implementation】 - Reduction of work time required for creating inspection sheets - Prevention of transcription and input errors, improving inspection accuracy - Streamlining verification tasks through the linkage of drawings and inspection sheets - Standardization of inspection operations

In the field of robotics, accurate verification of dimensions is crucial in the design and manufacturing of precise movable parts. Especially for the movable parts of robots with complex mechanisms, it is essential to confirm whether the dimensions match the design drawings and to accurately record them in inspection sheets to ensure the product's performance and safety. Inaccurate dimension management or recording errors can lead to malfunction or failure of the robot. The "Automatic Inspection Sheet Creation System from Drawings" addresses these challenges by automatically extracting dimension information from drawings and streamlining the process from inspection sheet creation to judgment. 【Usage Scenarios】 - Dimension inspection of robot joints and drive parts - Confirmation and recording of the range of motion - Comparison of design drawings with actual measurements 【Benefits of Implementation】 - Reduction in time required for inspection sheet creation - Decrease in transcription and input errors, improving inspection accuracy - Streamlining verification tasks through the linkage of drawings and inspection results

In the precision machinery industry, strict management of dimensional tolerances for parts is required to ensure product quality. Particularly for parts with fine dimensions and complex shapes, accurate extraction of information from drawings and the creation of inspection sheets based on that information are essential. Manual transcription errors and oversight in verification increase the risk of product defects. The "Automatic Inspection Sheet Creation System from Drawings" addresses these challenges by automatically extracting dimensional information from drawings and streamlining the process from inspection sheet creation to judgment, thereby improving the accuracy of inspection tasks and reducing time. 【Usage Scenarios】 - Dimensional tolerance inspection of precision machine parts - Extraction of inspection items from drawings - Reduction of manual transcription to inspection sheets - Acceleration of OK/NG judgment 【Benefits of Implementation】 - Reduction of work time required for inspection sheet creation - Improvement in quality by preventing transcription and input errors - Efficiency in verification tasks through linkage between drawings and inspection sheets - Streamlining the creation of inspection sheets from paper drawings

In the railway vehicle industry, maintaining the accuracy of the vehicle body is directly linked to safe operations, necessitating strict inspections. Particularly for vehicle bodies with complex shapes and numerous dimensional items, extracting dimensions from drawings and creating inspection sheets requires significant time and effort, along with the risk of human errors such as transcription mistakes. In response to these challenges, the "Automatic Inspection Sheet Creation System from Drawings" utilizes drawing information to support the efficiency and accuracy of inspection tasks. 【Usage Scenarios】 - Dimensional inspections in the manufacturing process of railway vehicle bodies - Automation of dimension extraction from drawings, creation of inspection sheets, and OK/NG judgments - Creation of inspection sheets from paper drawings or PDF drawings 【Benefits of Implementation】 - Reduction of work time required for creating inspection sheets - Decrease in transcription and input errors, contributing to improved inspection accuracy - Promotion of standardization in inspection tasks

In the shipbuilding industry, hull inspections require accurate dimension understanding from complex drawings and the creation of inspection sheets based on those dimensions. In particular, verifying dimensions and tolerances at various parts of the hull is essential for maintaining quality and ensuring safety. Manual transcription and aggregation not only take time but also carry the risk of human error. In response to these challenges, the "Automatic Inspection Sheet Creation System from Drawings" supports automatic dimension extraction from drawings and the creation of inspection sheets, contributing to improved work efficiency and the prevention of transcription errors. 【Usage Scenarios】 - Extraction of dimension values, tolerances, and geometric tolerances from large hull drawings - Recognition of dimension information from PDF or image format drawings - Automation of inputting inspection results and OK/NG judgments - Output of inspection sheets in Word, Excel, and CSV formats 【Benefits of Implementation】 - Reduction in the time required to create inspection sheets - Decrease in transcription errors from manual work - Standardization of inspection operations and improvement in quality - Increased efficiency in verification tasks through the linkage of drawings and inspection sheets

RoxyAI is an AI inspection system that allows you to build high-precision appearance inspection AI with simple operations. ■ Anyone Can Easily Create AI With simple annotation by just clicking on defective areas using a mouse, it is possible to create AI models without specialized knowledge. ■ High-Precision Inspection in a Short Time It can learn from a small amount of data in a short time, achieving efficient and high-precision AI inspections. It can also generate verification reports within an hour. ■ Automating Visual Inspections It supports a wide range of inspections including metal, casting, welding, painting, and food, allowing for the automation of many manual visual inspections. ■ Easy to Implement on Site It can be directly connected to existing equipment and works seamlessly with cameras, PLCs, and robots. You can build various inspection systems with no coding required. If you are considering the automation of appearance inspections or the introduction of AI, please feel free to contact us.

In the automotive manufacturing industry, strict inspections are required to ensure product quality and safety, leaving no room for even minor defects in parts. Particularly, with complex-shaped components and the acceleration of production lines, there is a risk of oversight and variability in inspection accuracy with manual visual inspections. In response to these challenges, the AI visual inspection system RoxyAI enables the easy construction of AI models without specialized knowledge, achieving high-precision defect detection in parts, thereby contributing to the automation of inspections and quality improvement. 【Use Cases】 - Detection of scratches and foreign matter in pressed parts - Detection of burrs and chips in cast parts - Detection of cracks and un-melted areas in welds - Detection of paint unevenness and peeling 【Benefits of Implementation】 - Improved inspection accuracy and reduced variability - Reduction in inspection labor and increased productivity - Quality assurance through prevention of defective products - Reduced dependence on skilled workers

In the metal processing industry, accurate detection of surface scratches and foreign object adhesion is required to maintain product quality. Particularly for products with fine scratches or complex shapes, visual inspections may overlook issues or increase the burden on inspectors. These challenges could lead to an increase in product defect rates and a decrease in customer satisfaction. RoxyAI enables the automation of surface scratch detection in metal processing by building a high-precision appearance inspection AI with simple operations. 【Use Cases】 - Surface scratch detection of metal parts - Confirmation of foreign object adhesion - Detection of paint unevenness and plating defects - Burr detection after pressing 【Benefits of Implementation】 - Improved inspection accuracy and reduced variability - Reduced inspection labor and increased productivity - Prevention of defective products from being released - Reduced burden on inspectors

In the food processing industry, it is essential to reliably detect foreign substances to ensure product safety. In particular, visual inspections pose risks of oversight and increase the burden on inspectors. Foreign substance contamination can lead not only to a decline in product quality but also to potential health hazards for consumers, making countermeasures extremely important. RoxyAI enables high-precision AI inspections with simple operations, supporting the automation of foreign substance detection in food processing. 【Usage Scenarios】 - Detection of foreign substances on the production line - Quality checks of products - Automation of inspection processes 【Benefits of Implementation】 - Improved inspection accuracy - Reduction in inspection labor - Decreased human errors - Enhanced product safety

In the semiconductor manufacturing industry, particularly in wafer inspection, the ability to detect minute defects with high precision and speed is directly linked to product quality and yield. Overlooking even slight foreign substances or pattern defects can lead to significant issues in later processes. Therefore, there is a demand for reducing the burden on skilled operators performing visual inspections and stabilizing inspection accuracy. RoxyAI contributes to the automation and efficiency of wafer inspection by enabling the easy creation of AI models without specialized knowledge, achieving high-precision inspections in a short time with minimal data. 【Use Cases】 - Detection of foreign substances on wafer surfaces - Detection of pattern defects - Counting the number of wafers - Checking wafer sizes 【Benefits of Implementation】 - Improvement and stabilization of inspection accuracy - Increased productivity through reduced inspection time - Reduced burden on visual inspection personnel - Decrease in human errors

In the electronic components manufacturing industry, the precision of soldering is extremely important to ensure product quality and reliability. Soldering defects can lead to decreased product performance and failures, potentially resulting in recalls and lower customer satisfaction. In particular, the oversight of fine soldering defects has limitations with manual visual inspections. RoxyAI addresses these challenges by achieving high-precision AI inspections with simple operations and automating visual inspections through short learning times, contributing to quality improvement and increased production efficiency. 【Usage Scenarios】 - Detection of soldering defects in electronic components - Automatic identification of fine defects - Streamlining quality control in manufacturing lines 【Benefits of Implementation】 - Early detection of soldering defects and prevention of defective products from being released - Improved inspection accuracy and reduced burden on inspectors - Increased operational efficiency of production lines and cost reduction

In the pharmaceutical manufacturing industry, particularly in the quality control of tablets, consistency in appearance, such as uniform shape, color, and surface condition, is required to ensure the safety and efficacy of products. Minor defects, foreign matter contamination, and discoloration can lead to a decline in product quality and potential health hazards, making strict inspections essential. Manual visual inspections carry the risk of oversight due to inspector fatigue and variability. The AI appearance inspection system RoxyAI provides a highly accurate and efficient automated inspection solution to address these challenges. 【Use Cases】 - Detection of chipping, cracking, and foreign matter contamination in tablets - Inspection of color unevenness and discoloration in tablets - Consistency checks for tablet shape and size 【Benefits of Implementation】 - Improved inspection accuracy and reduction of human errors - Shortened inspection times and increased productivity - Enhanced reliability through the maintenance of consistent quality standards

In the plastic molding industry, the assessment of appearance defects is crucial to maintaining consistent product quality. In particular, minor scratches, foreign matter contamination, and shape distortions during molding can potentially affect the functionality and appearance of the products. Overlooking these defects poses a risk of decreased customer satisfaction and complaints. RoxyAI addresses these challenges by enabling the easy creation of AI models without specialized knowledge, automating high-precision defect detection, and contributing to the efficiency and stability of quality management. 【Use Cases】 - Detection of defects such as surface scratches, foreign matter, and burrs on molded products - Assessment of shape abnormalities and dimensional defects in molded products - Real-time sorting of defective products on the production line 【Benefits of Implementation】 - Reduced burden of visual inspections and improved inspection accuracy - Stabilization of quality by preventing the outflow of defective products - Reduction of inspection labor and increased productivity

NAVINECT is a manufacturing DX solution that centralizes the management of calibration deadlines, usage records, and related documents for measuring instruments, achieving the digitalization of equipment calibration operations. ■Centralized Management of Equipment Information Manage basic information about measuring instruments, calibration certificates, and related documents in one place. Visualize the location information of the equipment to streamline management tasks. ■Prevention of Oversights with Deadline Management By setting calibration deadlines and providing advance alerts, it prevents forgetting or missing calibrations. It supports the reliable execution of calibration operations. ■Ensuring Traceability Records which instruments were used for which inspections and measurements, ensuring the traceability necessary for quality assurance. ■Efficiency in On-Site Operations By using management labels for location management and implementing workflows for forms and applications, it smartly centralizes calibration operations. If you are considering reducing the burden of equipment calibration operations or strengthening your quality assurance system, please feel free to contact us.

In quality control within the manufacturing industry, accurate understanding of the condition of measuring instruments and appropriate calibration management are essential for product quality assurance. Exceeding calibration deadlines and the loss of equipment information can lead to quality degradation and compliance risks. NAVINECT supports the establishment of a reliable quality management system through the digitalization of equipment calibration operations. 【Usage Scenarios】 - Management of calibration deadlines for measuring instruments - Centralized management of calibration certificates and related documents - Management of equipment location and ensuring traceability - Recording of calibration work and approval workflows 【Benefits of Implementation】 - Reduction of risks due to missed calibrations or expired deadlines - Increased efficiency and reduced burden in equipment management operations - Strengthening of quality assurance systems and improvement of reliability - Rapid access to information through digitalization

In the automotive industry, accurate calibration of measuring instruments is essential to ensure product quality and safety. In particular, managing the calibration deadlines of numerous instruments used on the production line and ensuring traceability are critical challenges in maintaining a quality assurance system. Calibration oversights or delays can lead to production line stoppages or product quality issues. NAVINECT offers a solution to these challenges by digitizing equipment calibration operations, preventing forgetfulness in calibration and significantly improving operational efficiency. 【Usage Scenarios】 - Management of calibration deadlines for measuring instruments used on the production line - Ensuring traceability necessary for quality assurance - Streamlining equipment location management on-site 【Benefits of Implementation】 - Prevention of calibration oversights through advance alerts for calibration deadlines - Increased efficiency in management operations through the consolidation of equipment information - Strengthening of the quality assurance system and compliance adherence