三共精機 Product Lineup

SAM (Sankyo Asset Management) is an RFID-based equipment management system that streamlines inventory and location management of equipment and assets. By simply reading the RFID tags attached to the equipment, inventory and location management can be easily performed. ■Significant Reduction in Inventory Time Since RFID tags can be read in bulk, there is no need to check each item individually, greatly reducing the labor involved in inventory tasks. ■Visualization of Equipment Location By managing the installation locations and movement history of equipment, it is easy to understand where everything is located. This contributes to preventing loss and improving management accuracy. ■Reduction of Human Errors Automatic reading with RFID prevents manual input errors and counting mistakes, achieving accurate asset management. ■Streamlining Asset Management Operations In addition to equipment management, it can be expanded to a wide range of operations such as inventory management of manufacturing parts and tool management. If you are considering streamlining your asset management operations or digitizing your inventory tasks, please feel free to contact us.

• Other information systems

In medical device manufacturing, reducing noise is extremely important for accurately capturing patients' biometric information. This is especially true for devices that handle weak signals, such as electroencephalograms (EEGs), where external electromagnetic waves and internal device noise can affect measurement accuracy. Effectively suppressing these noises and obtaining reliable data is crucial for the quality of diagnosis and treatment. Our EEG common-mode rejection ratio tester, 'CMRR3.0E', has been designed to address the challenges of noise control in the development of such medical devices. 【Usage Scenarios】 - CMRR measurement of EEGs - Evaluation of system noise - Verification of noise control measures during the development phase 【Benefits of Implementation】 - Improved measurement accuracy - Shortened development time - Enhanced product reliability

• Tester

In the aerospace field, extremely high safety standards are required, making abnormal detection and predictive maintenance essential. Particularly, even slight changes in precise manufacturing processes or operations can impact the safety and reliability of products. Therefore, it is crucial to capture early signs of equipment abnormalities to prevent troubles before they occur. The AI abnormal detection and equipment diagnosis system CX-D addresses these challenges by continuously monitoring equipment data with AI, instantly detecting anomalies to support enhanced safety and stable operations. 【Usage Scenarios】 - Abnormal detection in aircraft parts manufacturing lines - Operational monitoring of space equipment development and testing facilities - Reducing downtime through predictive maintenance of critical equipment - Identifying abnormal factors in quality control processes 【Benefits of Implementation】 - Reduction of risks associated with unexpected equipment shutdowns - Stabilization of product quality and improvement of reliability - Optimization of maintenance costs - Support for compliance with safety standards

• Other information systems

In the electricity and gas industry, the stable operation of infrastructure and continuous supply are extremely important. Unexpected equipment failures can have widespread effects and may cause serious problems in maintaining social infrastructure. Therefore, it is essential to detect abnormal signs in equipment early and prevent troubles before they occur. The AI anomaly detection and equipment diagnosis system CX-D continuously monitors equipment data with AI, instantly detecting signs of anomalies, thereby reducing the risk of sudden equipment failures and contributing to the maintenance of stable supply. [Usage Scenarios] - Monitoring abnormal signs in power generation equipment, substation equipment, and gas supply equipment - Rapid situation assessment through remote monitoring - Early detection of signs before equipment troubles occur [Benefits of Implementation] - Reduction of supply interruption risks due to equipment troubles - Maintenance of stable operation of infrastructure - Increased efficiency through planned maintenance

• Other information systems

In the food industry, hygiene management on the manufacturing line is extremely important to ensure product safety. Minor changes in temperature, humidity, and foreign matter contamination can lead to a decline in product quality and an increased risk of food poisoning. To prevent these risks in advance and maintain a stable production system, it is necessary to quickly detect early signs of equipment abnormalities and respond promptly. The AI anomaly detection and equipment diagnosis system CX-D contributes to solving these challenges by continuously monitoring equipment data with AI and instantly detecting signs of anomalies. 【Usage Scenarios】 - Anomaly detection of temperature and humidity sensor data on the manufacturing line - Monitoring of equipment vibrations that could lead to foreign matter contamination - Real-time monitoring of the operational status of cleaning and sterilization equipment - Detection of fluctuations in equipment parameters that could cause quality defects 【Benefits of Implementation】 - Maintenance and improvement of hygiene management standards - Stabilization of product quality and reduction of defect rates - Prevention of production losses due to unexpected equipment downtime - Implementation of planned maintenance through predictive maintenance - Strengthening of compliance related to food safety

• Other information systems

In the plant industry, preventing production losses due to stable operation of equipment and unexpected shutdowns is considered crucial for business continuity. Particularly in plant equipment with complex structures, overlooking subtle signs of abnormalities can lead to the risk of large-scale failures or operational stoppages. Therefore, there is a demand for the introduction of predictive maintenance that detects equipment anomalies early and conducts planned maintenance. The AI anomaly detection and equipment diagnosis system CX-D supports the realization of predictive maintenance by automatically learning and monitoring abnormal signs of equipment through AI, addressing these challenges in plants. 【Usage Scenarios】 - Early detection of abnormal signs in plant equipment - Prevention of unexpected equipment shutdowns - Identification of factors causing quality defects - Optimization of equipment maintenance plans 【Benefits of Implementation】 - Reduction of production losses by preventing equipment troubles - Optimization of maintenance costs through predictive maintenance - Improvement of overall plant operational rates - Contribution to quality stabilization

• Other information systems

In the pharmaceutical industry, strict management of the manufacturing process is required to ensure the quality and safety of pharmaceuticals. In particular, abnormalities in manufacturing equipment can lead to a decline in product quality or a halt in the production line, making it crucial to detect signs of such issues early and prevent them from occurring from a quality assurance perspective. The AI anomaly detection and equipment diagnosis system CX-D learns from the normal operating data of the equipment and detects signs of abnormalities in real-time, thereby reducing the risk of unexpected equipment failures and quality defects, and contributing to the maintenance of a stable production system. 【Use Cases】 - Early detection of signs of equipment abnormalities on the production line - Continuous monitoring of the operating status of equipment related to quality - Identification of factors causing defects and utilization in improvement activities - Support for compliance with regulations in pharmaceutical manufacturing 【Benefits of Implementation】 - Reduction of downtime on the production line - Stabilization and improvement of product quality - Realization of planned maintenance through predictive maintenance - Increased efficiency in quality assurance operations

• Other information systems

In the semiconductor industry, as miniaturization and high integration progress, maintaining product quality and yield is extremely important. In particular, subtle abnormalities or changes in manufacturing processes can directly lead to the occurrence of defective products and may result in a decrease in yield. Early detection and response to these abnormalities are essential for improving production efficiency and reducing costs. The AI anomaly detection and equipment diagnosis system CX-D detects signs of equipment abnormalities in real-time and supports yield improvement. 【Usage Scenarios】 - Anomaly detection in semiconductor manufacturing equipment - Monitoring subtle equipment changes - Identifying causes of quality defects - Reducing the risk of yield decline 【Benefits of Implementation】 - Improved yield through reduction of defective products - Mitigation of unexpected equipment downtime - Enhanced production efficiency through quality stabilization - Optimization of equipment maintenance costs

• Other information systems

In the steel industry, the stable operation of large and complex equipment is essential for maintaining productivity. In particular, equipment in harsh environments is prone to unexpected failures, which can directly lead to production line stoppages and a decline in product quality. Capturing early signs of equipment anomalies and conducting planned maintenance is key to stable operations and cost reduction. The AI anomaly detection and equipment diagnosis system CX-D strongly supports predictive maintenance by instantly detecting equipment abnormalities. 【Usage Scenarios】 - Monitoring abnormal signs of key equipment in steel plants (such as rolling mills and melting furnaces) - Reducing opportunity losses due to unexpected stoppages in production lines - Detecting changes in equipment conditions before quality defects occur - Streamlining regular inspections and optimizing maintenance plans 【Benefits of Implementation】 - Reducing the risk of production stoppages due to equipment failures - Achieving planned maintenance through predictive maintenance - Improving equipment operating rates and productivity - Reducing unexpected repair costs - Stabilizing product quality

• Other information systems

In the automotive industry, stable operation of production lines and high production efficiency are required. Unexpected equipment stoppages and quality defects directly lead to delays in production plans and increased costs, making it important to prevent these risks in advance. Continuous monitoring and anomaly detection using AI contribute to solving these challenges. The AI anomaly detection and equipment diagnosis system CX-D captures early signs of equipment anomalies and supports the prevention of sudden stoppages and quality degradation. 【Use Cases】 - Early detection of equipment anomalies in automotive parts manufacturing lines - Real-time monitoring of production line operating conditions - Identification and improvement of factors causing quality defects 【Benefits of Implementation】 - Reduction of production line downtime - Improvement of production efficiency - Stabilization of product quality

• Other information systems

In the chemical industry, ensuring stable plant operations and employee safety is the top priority. Particularly in facilities that handle complex processes and hazardous materials, unexpected anomalies without warning pose risks that can lead to serious accidents or production halts. To mitigate these risks and maintain safe operations, it is essential to detect abnormal signs in equipment early and prevent issues before they arise. The AI anomaly detection and equipment diagnosis system CX-D was developed to meet the safety needs of the chemical industry. 【Usage Scenarios】 - Monitoring abnormal signs in key equipment at chemical plants - Reducing accident risks through anomaly detection in reactors, pumps, and piping - Early detection of equipment changes that could lead to quality issues - Ensuring employee safety and stable plant operations 【Benefits of Implementation】 - Reduced accident risks through early detection of equipment anomalies - Decreased production losses by preventing sudden equipment shutdowns - Achieving planned maintenance through predictive maintenance - Maintaining a safe operating environment and enhancing employee peace of mind

• Other information systems

In the manufacturing industry, it is essential to detect equipment abnormalities early to maintain product quality and ensure stable production, thereby preventing the occurrence of quality defects. In particular, overlooking the operational status of the production line and subtle changes in equipment can directly lead to an increase in defective products and a decrease in production efficiency. The AI anomaly detection and equipment diagnosis system CX-D contributes to the prevention of quality defects by having AI learn normal operational data of the equipment and detecting signs of abnormalities in real-time. 【Usage Scenarios】 - Investigating the causes of quality defects in the production line - Monitoring for signs of quality deterioration due to subtle changes in equipment - Rapid identification of causes and implementation of countermeasures when defects occur 【Benefits of Implementation】 - Improved yield due to reduced quality defects - Shortened time for identifying causes when defects occur - Maintenance of stable product quality

• Other information systems

CX-D is an equipment diagnostic system that realizes data collection, visualization, AI anomaly detection, and condition diagnosis all in one device. ■ AI automatically detects signs of equipment anomalies The AI automatically learns from data during normal operation and monitors changes and signs of anomalies in real-time, contributing to the prevention of unexpected shutdowns and quality defects. ■ Easy implementation without programming It can connect to various equipment such as PLCs, robots, sensors, and NC machine tools. It can be implemented without the need for program development. ■ Visualization of equipment status The real-time dashboard visualizes equipment conditions and operational status. It can be accessed from a web browser, allowing for monitoring from both the field and the office. ■ Supports predictive maintenance and quality improvement In addition to monitoring signs of equipment failure, it can also be used for analyzing causes of defects and diagnosing equipment conditions. It enables simultaneous promotion of equipment maintenance and quality improvement. If you are considering improving equipment maintenance efficiency or implementing predictive maintenance, please feel free to contact us.

• Other information systems

In the food service industry, standardization of operations in store management and the resulting improvement in operational efficiency are required. In particular, eliminating variations in daily cooking procedures, customer service responses, cleaning, and hygiene management among different stores and staff members is essential for maintaining consistent service quality, which in turn enhances customer satisfaction and establishes brand image. However, simply developing manuals and conducting training may not be sufficient for standardization that reflects the realities of the field or for the establishment of continuous improvement. The on-site improvement DX platform GEMBA strongly supports operational standardization by visualizing the conditions on-site and streamlining improvement activities. 【Usage Scenarios】 - Visualization of work procedures and hygiene management items on store layout diagrams - Registration and sharing of standardized procedures for cooking, customer service, cleaning, etc. - Real-time management of daily business progress and improvement activities - Use as training materials for new staff 【Effects of Implementation】 - Standardization of operations leading to uniform service quality - Increased efficiency in work instructions and confirmations on-site - Reduction of management tasks using paper media and Excel - Promotion of information sharing among staff and establishment of a business improvement cycle

• Electronic documents

In the agricultural sector, there is a demand for the efficiency and productivity improvement of various on-site activities such as field management, equipment maintenance, and safety management. In particular, understanding the work conditions on vast farmlands and multiple facilities, confirming the operational status of equipment, and maintaining a safe working environment are crucial factors that directly impact yield and quality. However, managing this information centrally and grasping it in real-time is not easy. Our platform, GEMBA, supports solving these challenges by aggregating this information on the farm layout diagram and achieving intuitive visualization. 【Usage Scenarios】 - Management of work progress by field - Management of equipment operational status and maintenance history - Understanding the status of irrigation and greenhouse facilities - Recording and managing pesticide and fertilizer applications - Safety management and training history of workers 【Benefits of Implementation】 - Real-time understanding of the overall farm situation to support rapid decision-making - Reduction of work duplication and waste, optimizing human resources - Preventing unexpected failures through predictive maintenance of equipment, improving operational rates - Promoting improvement activities using past data through the digitization of work records - Reducing accident risks through thorough safety management

• Electronic documents

In the real estate industry, there is a demand for understanding the condition of properties and streamlining management tasks. Particularly when managing multiple properties, it is crucial to accurately grasp each situation and respond quickly. By centrally managing repair histories and inspection records of properties and sharing them among responsible parties, it is expected to prevent delays and oversights in operations, leading to improved customer satisfaction. GEMBA supports the resolution of these challenges by intuitively understanding the on-site situation and streamlining management tasks. 【Usage Scenarios】 - Recording and managing inspection and repair histories of properties - Managing inquiry response histories from tenants - Managing work progress for each property - Recording cleaning and maintenance tasks 【Benefits of Implementation】 - Rapid understanding and sharing of property information - Time savings through the efficiency of management tasks - Strengthened collaboration among responsible parties - Improved service quality

• Electronic documents

In the medical and nursing care industry, there is a demand for efficient daily operations and accurate information management to provide high-quality care to patients and users. Particularly, quickly grasping the situation on-site and taking appropriate actions is essential for maintaining and improving service quality. However, paper-based records and information management across multiple systems can create inefficiencies and potentially encroach on the time that should be devoted to care tasks. The on-site improvement DX platform GEMBA addresses these challenges by simultaneously achieving visibility of the site and operational efficiency, thereby supporting the provision of higher quality medical and nursing care services. 【Usage Scenarios】 - Equipment inspection and maintenance records within facilities - Establishment and operation of safety management systems - Progress management of cleaning and hygiene management - Streamlining of inventory and goods management - Facilitation of information sharing among staff 【Effects of Implementation】 - Rapid identification of issues through visibility of on-site operations - Reduction of management tasks by moving away from paper media - Real-time information sharing through direct input from smartphones and tablets - Continuous operational improvements based on accumulated data - Reduction of staff burden and promotion of focus on care tasks

• Electronic documents

In the energy industry, planned and prompt equipment maintenance is required for stable operation and longevity of facilities. Particularly in complex equipment configurations and extensive facilities, understanding the on-site situation and managing maintenance history can pose challenges. If appropriate maintenance is not conducted, there is a risk of production stoppages due to unexpected failures or a decrease in safety. The on-site improvement DX platform GEMBA utilizes factory layout diagrams to centrally manage equipment maintenance activities, simultaneously achieving visibility on-site and improving operational efficiency, thus supporting the resolution of these challenges. 【Usage Scenarios】 - Equipment maintenance planning and implementation for plants and power stations - Digitization of inspection records and history management - Early detection and response to equipment anomalies - Progress management and sharing of maintenance work 【Benefits of Implementation】 - Increased efficiency of equipment maintenance operations - Reduction of downtime through predictive maintenance - Accumulation and inheritance of maintenance know-how - Improvement of on-site safety

• Electronic documents

In the construction industry, accurately grasping the progress of projects and sharing it among stakeholders is considered crucial for preventing delays and managing costs. Particularly, with multiple sites and processes occurring simultaneously, real-time information sharing and swift decision-making are required. Inability to accurately understand the site conditions can lead to rework and inefficient resource allocation. The site improvement DX platform GEMBA intuitively captures the progress of the site and supports operational efficiency. 【Usage Scenarios】 - Real-time understanding of construction site progress - Management of progress status with responsible personnel for each process - Direct input from smartphones and tablets on-site - Early detection of progress delay risks 【Benefits of Implementation】 - Rapid situation understanding through the "visualization" of site progress - Increased operational efficiency by reducing paper forms and Excel transcription tasks - Accelerated decision-making through real-time information sharing among stakeholders - Reduced project delay risks through improved accuracy in progress management

• Electronic documents

In the logistics industry, there is a demand for optimizing delivery routes, sharing information on-site among drivers, and improving work efficiency. In particular, delays in daily delivery operations and irregular responses on-site can impact customer satisfaction and operational costs. It is important to grasp the on-site situation in real-time and support quick decision-making to address these challenges. The on-site improvement DX platform GEMBA contributes to solving these issues in logistics operations. 【Usage Scenarios】 - Progress management of delivery routes - Collection of on-site information from drivers - Strengthening collaboration between locations - Communication of work instructions 【Effects of Implementation】 - Reduction in delivery time - Decrease in fuel costs - Alleviation of driver burden - Improvement in customer satisfaction - Overall increase in operational productivity

• Electronic documents

In quality control within the manufacturing industry, maintaining and improving product quality, as well as quickly identifying causes and implementing measures when defects occur, are essential. Particularly, efficiently managing quality-related issues and improvement activities on-site and sharing them across the organization is crucial for continuous quality improvement. However, recording on paper and aggregating data in Excel can take time for information sharing and analysis, potentially hindering prompt responses. The on-site improvement DX platform GEMBA addresses these challenges by providing intuitive situational awareness on factory layouts and streamlining improvement activities, thereby supporting the efficiency and visibility of quality management tasks. 【Usage Scenarios】 - Registration and management of quality issues on factory layout diagrams - Real-time tracking of the progress of quality improvement activities - Accumulation of cause analysis and countermeasure history when defects occur - Progress management and improvement of 4S and 5S activities 【Benefits of Implementation】 - Increased efficiency and reduced labor in quality management tasks - Rapid identification of issues through visualization of on-site quality conditions - Sharing of know-how and technical succession through the accumulation of improvement activity history - Promotion of continuous efforts towards quality enhancement

• Electronic documents

At construction sites, the transportation of materials requires handling heavy items and working in limited spaces. In particular, safe and efficient material transportation is a crucial issue directly linked to adhering to deadlines and reducing the burden on workers. Traditional forklift operations have relied on human resources and the skills of workers. Roboware utilizes AMR and AGV systems capable of transporting heavy items up to 1.5 tons, providing a logistics DX solution that automates material transportation tasks at construction sites. This is expected to lead to labor savings and improved logistics efficiency. 【Usage Scenarios】 - Transportation of construction materials between fixed points - Transportation of components within the site - Transporting materials from storage areas to work areas 【Benefits of Implementation】 - Labor savings in heavy item transportation tasks - Contribution to improved work efficiency and shortened construction periods - Reduction of worker burden and enhancement of safety - Implementation that leverages existing layouts

• Other conveying machines

In the energy industry, the transportation of equipment parts such as plants and power stations requires the safe and reliable handling of heavy and large components. Particularly, working in limited spaces and complex layouts, as well as ensuring the safety of workers, are significant challenges. Improper transportation increases the risk of accidents and can lead to production line stoppages or delays. Roboware addresses these challenges by utilizing AMRs and AGVs capable of transporting heavy loads of up to 1.5 tons. 【Use Cases】 - Inter-process transportation of large equipment parts within plants - Transportation of maintenance parts within power stations - Transporting heavy batteries and transformers 【Benefits of Implementation】 - Reduction of worker burden and improvement of safety in heavy load transportation - Cost reduction through the automation of forklift operations - Improvement of logistics efficiency through route optimization - Maintenance of productivity through stable operation 24/7, 365 days a year

• Other conveying machines

In the retail industry, there is a demand for reducing the burden on workers and improving efficiency in the large-scale movement of inventory within stores and warehouses. In particular, handling heavy items can pose challenges for ensuring worker safety and facilitating quick restocking and movement of products. Roboware utilizes AMRs and AGVs capable of transporting heavy items up to 1.5 tons to help address these challenges. 【Usage Scenarios】 - Moving pallets and shelves within the warehouse - Transporting products during restocking at stores - Improving efficiency in picking operations - Automating sorting tasks 【Benefits of Implementation】 - Reduction in the need for forklift operations - Enhanced efficiency in logistics operations - Decreased burden on workers and improved safety - Increased productivity through 24-hour operation

• Other conveying machines

In the steel industry, the safe and efficient transportation of heavy steel materials is essential for improving productivity and reducing the burden on workers. In particular, forklift operations are common for inter-process transportation within factories and for transporting materials from storage areas, but issues such as labor shortages and ensuring worker safety have become challenges. Roboware offers a logistics DX solution that automates these transportation tasks using AMRs and AGVs capable of handling loads up to 1.5 tons. 【Use Cases】 - Inter-process transportation of steel materials within factories - Transportation of steel materials from storage areas to various processes - Steel material transportation linked with picking operations - Movement of steel materials in sorting tasks 【Benefits of Implementation】 - Reduction of forklift operations - Increased efficiency in steel transportation and shortened lead times - Enhanced worker safety and improved working conditions - Increased productivity through 24/7 operation

• Other conveying machines

In the food and beverage industry, a stable supply of raw materials and resources, as well as efficient transportation in a hygienic environment, are required. In particular, the transportation of heavy raw materials places a significant burden on workers, and labor shortages are often a challenge. Additionally, it is important to reduce the risk of foreign matter contamination and maintain quality. Roboware contributes to solving these challenges as a logistics DX solution that automates transportation tasks in factories and logistics sites by utilizing AMRs and AGVs capable of handling heavy loads of up to 1.5 tons. 【Usage Scenarios】 - Transporting raw materials from the warehouse to the production line - Transporting materials from the production line to storage locations - Automating picking operations - Improving the efficiency of sorting tasks 【Benefits of Implementation】 - Reducing the burden on workers in heavy load transportation - Addressing labor shortages and reducing manpower - Improving productivity through the efficiency of transportation tasks - Reducing human errors and enhancing safety - Ensuring thorough hygiene management and reducing the risk of foreign matter contamination

• Other conveying machines

In the semiconductor industry, it is essential to transport heavy components and materials accurately and safely while preventing the contamination of fine foreign substances. Particularly in cleanroom environments, it is crucial to reduce the risk of contamination from human movement and maintain a stable production line. Roboware addresses these challenges by utilizing AMRs and AGVs capable of transporting loads of up to 1.5 tons. 【Usage Scenarios】 - Inter-process transportation within cleanrooms - Transportation of heavy semiconductor materials and equipment - Automation of picking, sorting, and storage tasks 【Benefits of Implementation】 - Safe transportation while maintaining cleanliness - Reduction of labor and increased efficiency in transportation tasks - Stable operation of production lines and improved productivity

• Other conveying machines

In the automotive industry, the accurate and efficient supply of parts significantly impacts the operation of the entire production line. In particular, the transportation of heavy parts and materials can place a considerable burden on workers, and issues such as safety and labor shortages may arise. To address these challenges, Roboware utilizes AMRs and AGVs capable of handling loads up to 1.5 tons, contributing to the automation of inter-process transportation and picking operations. 【Use Cases】 - Supply of parts to the production line - Transportation of materials between processes - Movement of finished products within the factory - Automation of picking operations 【Benefits of Implementation】 - Reduction of forklift operations - Improvement of logistics efficiency - Alleviation of worker burden and enhancement of safety - Stable operation of the production line

• Other conveying machines

In the warehouse and logistics industry, there is a demand for handling heavy items during picking operations, reducing the burden on workers, and improving overall logistics efficiency. Particularly, as labor shortages become more severe, the streamlining of operations and enhancement of productivity are urgent issues. Heavy item picking tasks impose significant physical strain on workers and carry the risk of injury. Additionally, decreased work efficiency can lead to delays in lead times and a decline in customer satisfaction. Roboware addresses these challenges by utilizing AMRs and AGVs capable of transporting heavy items up to 1.5 tons. 【Usage Scenarios】 - Picking operations for heavy items within warehouses - Transportation, sorting, and storage tasks between processes - Alleviating labor shortages and reducing work burdens 【Benefits of Implementation】 - Improved efficiency through automation of picking operations - Reduced physical strain on workers and enhanced safety - Shortened logistics lead times and increased productivity

• Other conveying machines

In the manufacturing industry, accurate and timely supply of materials to the production line is essential. In particular, the transportation of heavy parts and materials places a significant burden on workers, which can lead to labor shortages and decreased work efficiency. Additionally, mistakes during transportation carry the risk of causing production line stoppages. Roboware addresses these challenges by utilizing AMRs and AGVs capable of transporting loads of up to 1.5 tons. 【Usage Scenarios】 - Inter-process transportation - Heavy load transportation - Picking transportation - Sorting - Storage 【Benefits of Implementation】 - Reduction of forklift labor - Improvement of logistics efficiency - Increase in productivity

• Other conveying machines

Roboware is a logistics DX solution that utilizes AMR and AGV to automate transportation tasks in factories and logistics sites, capable of handling heavy loads of up to 1.5 tons. ■ Strong lineup for heavy load transportation It supports the transportation of heavy loads in the 800kg and 1,500kg classes, enabling the automation of inter-process transportation and picking operations that were traditionally done by forklifts. ■ Can be implemented while utilizing existing layouts By using SLAM technology for autonomous driving, it can be implemented without the need for large layout changes or dedicated lane construction. ■ One-stop provision for logistics automation We provide total support not only for the robots themselves but also for system integration, operational design, and maintenance support, helping to establish the optimal automation environment for logistics sites. ■ Rental options available In addition to purchase, we also support rental operations, allowing for a small start with reduced initial investment. If you are considering labor reduction in heavy load transportation or logistics automation, please feel free to contact us.

• Other conveying machines

GEMBA is a field improvement DX platform that enables centralized management of on-site activities such as workplace improvement, equipment maintenance, and health and safety by utilizing factory layout diagrams. ■ Visualizing the site on the factory layout You can register improvement details and equipment information on the layout diagram or drawings of your factory, allowing for an intuitive understanding of the site conditions. Information that may be unclear in list format can be easily managed on a map. ■ One-stop improvement activities Information registered on-site is immediately converted into a database, automatically generating management boards and progress reports. This reduces administrative tasks such as paper forms, Excel data entry, and meeting material preparation. ■ Support for a wide range of on-site operations You can manage various on-site operations, including equipment maintenance, health and safety, quality control, 4S/5S activities, energy-saving initiatives, and process audits, all within a single application. ■ Accumulating knowledge for continuous improvement Improvement and maintenance histories generated on-site are accumulated and shared as organizational know-how. This supports ongoing improvement activities and the transfer of technology. If you are considering streamlining on-site improvement activities or implementing equipment maintenance DX, please feel free to contact us.

• Electronic documents

In the field of agriculture, understanding the condition of equipment to properly manage temperature, humidity, and CO2 concentration is crucial for environmental control. Accurately grasping these values and detecting anomalies early directly contributes to maintaining an optimal growth environment for crops, stabilizing yield and quality. Inadequate management can increase the risk of poor growth and pest outbreaks. WIZIoT smartens these inspection tasks through AI-based automatic meter reading and cloud management, supporting the efficiency of agricultural management. 【Usage Scenarios】 - Inspection of temperature and humidity meters in greenhouses - Checking meters for irrigation equipment - Monitoring water level gauges in storage tanks 【Benefits of Implementation】 - Reduction in inspection and recording time - Improved management accuracy by preventing recording errors - Mitigation of crop impact through early detection of anomalies

• Other information systems

In the energy industry, accurate monitoring of meter values and early detection of anomalies are required to ensure stable operation and safety of equipment. In particular, verifying the values of widely dispersed equipment and complex meters carries the risk of human error and oversight, which can lead to an increased burden on inspection tasks. In response to these challenges, WIZIoT supports the digitalization of equipment inspection tasks through AI-based automatic meter reading and cloud management, achieving improved accuracy and efficiency in anomaly detection. 【Use Cases】 - Automatic meter reading for energy infrastructure equipment - Early detection of anomalies in remote equipment - Streamlining the recording of meter values during regular inspections 【Benefits of Implementation】 - Up to 80% reduction in inspection and recording time - Approximately 47% reduction in inspection management tasks - Improved accuracy by preventing errors during meter reading

• Other information systems

In the food service industry, strict hygiene management is required to maintain food safety and quality. In particular, temperature management of refrigerators and freezers, as well as monitoring the operational status of cooking equipment, are important for preserving food freshness and preventing foodborne illnesses. If these inspection records are insufficient or if manual recording takes too much time, the burden of management tasks increases, and the risk of human error also rises. WIZIoT addresses these challenges through automatic meter reading using AI and cloud management, supporting the smart management of hygiene operations. 【Usage Scenarios】 - Automatic reading of temperature meters for refrigerators and freezers - Recording the operational status of cooking equipment - Inspection records for cleaning areas - Confirmation of any abnormalities 【Benefits of Implementation】 - Reduction in inspection and recording time - Improved accuracy by preventing recording errors - Increased efficiency in management tasks through paperless operations - Quick sharing and confirmation of inspection results

• Other information systems

In the infrastructure industry, accurate and prompt inspections are required to maintain stable operation of equipment. Particularly for equipment located in remote or hard-to-access areas, regular checks of meter readings and early detection of anomalies are essential for preventing accidents and reducing maintenance costs. Inadequate inspections can lead to unexpected equipment failures and their widespread consequences. WIZIoT addresses these challenges through AI-powered automatic meter reading and cloud management, supporting the digitalization of equipment inspection tasks. 【Use Cases】 - Monitoring the status of equipment meters in remote locations - Recording meter values during regular equipment inspections - Documenting anomalies such as unusual noises, odors, and liquid leaks - Rapid sharing of inspection results and approval processes 【Benefits of Implementation】 - Up to 80% reduction in inspection and recording time - Approximately 47% reduction in inspection management tasks - Improved accuracy of inspection records and prevention of errors - Increased efficiency in management tasks through paperless operations

• Other information systems

In the manufacturing industry, the stable operation of equipment and the realization of predictive maintenance are directly linked to increased productivity and cost reduction. In particular, the recording of meter values and the confirmation of abnormalities during daily equipment inspections are prone to oversight and recording errors, which burden maintenance operations. To solve these challenges and achieve more accurate predictive maintenance, the digitization and efficiency of inspection tasks are required. WIZIoT addresses these issues through AI-based automatic meter reading and cloud management, supporting the smart transformation of equipment inspection operations. 【Usage Scenarios】 - Inspection of various equipment meters within the factory - Recording of abnormal locations such as unusual noises, odors, and liquid leaks - Acceleration of inspection record reporting on-site - Efficiency improvement in management operations through paperless processes 【Benefits of Implementation】 - Up to 80% reduction in inspection and recording time - Approximately 47% reduction in inspection management tasks - Improved accuracy of inspection records and prevention of errors - Smoother information sharing through centralized management in the cloud

• Other information systems

WIZIoT is a facility inspection DX service that utilizes AI for meter reading and cloud management to achieve the digitalization of equipment inspection operations. ■ Automatic meter reading with AI By simply holding a smartphone up to the meter, AI automatically recognizes the values. This prevents misreading and recording errors, improving the accuracy and efficiency of inspection operations. ■ Complete equipment inspections with a smartphone Inspection results for unusual sounds, odors, or leaks can be easily entered into the app. Recording and reporting can be done smoothly on-site. ■ Automation of approval and daily report creation After completing the inspection, online approval is supported. Once approved, a signed daily report (PDF) is automatically generated, reducing the burden of reporting tasks. ■ Streamlining management operations with paperless processes By reducing paper inspection sheets and Excel transcription tasks, inspection information is centrally managed in the cloud. This achieves labor-saving in inspection operations and facilitates information sharing. If you are considering improving the efficiency and paperless processes of equipment inspections, please feel free to contact us.

• Other information systems

In the field of plant and equipment maintenance, the accuracy of inspection records and rapid information sharing are essential for stable equipment operation and the realization of predictive maintenance. Records on paper or Excel can lead to issues such as transcription errors, omissions, and delays in information sharing, potentially reducing the efficiency of maintenance operations. i-Reporter addresses these challenges by digitizing paper and Excel forms without changing on-site operations, thereby improving the efficiency of recording, reporting, and approval processes. 【Usage Scenarios】 - Recording during equipment inspections - Reporting on maintenance inspection tasks - Real-time information sharing on-site 【Benefits of Implementation】 - Improved operational efficiency by reducing transcription work - Prevention of input errors and omissions - Rapid information sharing between the field and the office - Promotion of paperless operations

• Electronic documents

In the agricultural sector, it is essential to accurately grasp and manage detailed cultivation records such as crop growth conditions, pesticide application, and harvest yields. In particular, to consistently produce high-quality crops while responding to changes in weather and soil conditions, it is important to have a system in place that allows for the precise recording and analysis of daily work activities. Inadequate records or transcription errors can lead to a review of cultivation plans and a decrease in the accuracy of yield forecasts. i-Reporter digitizes cultivation records that are currently managed on paper or Excel, streamlining the process from on-site input to reporting and approval tasks. 【Usage Scenarios】 - Growth records, pesticide application records, and harvest yield records in the field - Creation of daily work reports and inspection records - Records for quality control and ensuring traceability 【Benefits of Implementation】 - Increased efficiency in record-keeping and reduction of transcription errors - Rapid decision-making through real-time information sharing - Optimization of cultivation plans through centralized data management - Cost reduction and environmental impact reduction through paperless operations

• Electronic documents

In the logistics industry, delivery confirmation tasks require accurate and prompt information recording and sharing. In particular, real-time understanding of delivery status and prevention of misdeliveries and delays are crucial factors that directly impact customer satisfaction. Paper-based records are prone to transcription errors, loss risks, and delays in information sharing, which can lead to decreased operational efficiency. i-Reporter addresses these challenges by digitizing your usual paper or Excel delivery confirmation forms, enabling smooth input on-site and verification in the office. 【Usage Scenarios】 - Delivery route confirmation - Signature recording during package handover - Delivery completion reporting - Situation recording in case of damage or loss 【Benefits of Implementation】 - Improved operational efficiency through real-time sharing of delivery information - Enhanced accuracy by reducing transcription errors and omissions - Cost reduction and easier information management through paperless operations

• Electronic documents

In the construction industry, it is essential to accurately and quickly grasp the on-site situation and share it among stakeholders. In particular, creating work records, photographs, and reports on-site takes time and effort, leading to delays in information transmission and risks of human error due to the need to carry information back to the office or transcribe it. To address these challenges and ensure smooth project progress, the digitization of on-site forms becomes crucial. i-Reporter enables the electronic conversion of paper and Excel forms without changing on-site operations, thereby improving the efficiency of recording and reporting tasks. 【Usage Scenarios】 - Recording progress on construction sites - Creating reports linked with photographs and drawings - Inputting data while on the move or in areas with no connectivity - Real-time information sharing with the office 【Benefits of Implementation】 - Improved operational efficiency by reducing transcription and re-entry tasks - Prevention of input errors and omissions - Faster decision-making through rapid information sharing between the site and the office - Promotion of a paperless environment

• Electronic documents

In quality inspection of the manufacturing industry, accurate recording and rapid sharing of inspection results are required. Particularly in situations where there are many inspection items or real-time understanding of on-site conditions is necessary, paper-based records and manual transcription increase the risk of human error and may lead to delays in operations. In response to these challenges, i-Reporter digitizes the paper or Excel forms you usually use, completing the process from input to reporting on-site, thereby reducing transcription work and supporting the efficiency and accuracy improvement of quality inspection operations. 【Usage Scenarios】 - Product inspection on the manufacturing line - Pre-shipment inspection - Quality confirmation during equipment inspections - Recording and reporting of defective products 【Benefits of Implementation】 - Rapid decision-making through real-time sharing of inspection data - Improved operational efficiency by reducing transcription work - Prevention of recording errors through input assistance features - Cost reduction and easier information management through paperless operations

• Electronic documents

i-Reporter is a field report digitization system that directly converts paper and Excel-based field reports into electronic format, achieving efficiency in recording, reporting, and approval processes. ■ Direct digitization of paper reports Since you can convert the paper reports and Excel forms you regularly use into electronic forms without changing the field operations, you can promote a paperless environment. ■ Input and reporting completed on-site Forms can be filled out using tablets or smartphones and immediately converted into data. This reduces transcription and re-entry tasks, improving operational efficiency. ■ Diverse input support features Supports various input methods such as barcode and QR code scanning, photo attachment, voice input, and integration with Bluetooth-enabled measuring devices. This helps prevent input errors and omissions. ■ Real-time information sharing Entered forms are instantly registered in the database, allowing for real-time information sharing between the field and the office. It also supports integration with external systems. If you are considering digitizing manufacturing sites, equipment inspections, quality inspections, or maintenance tasks, please feel free to contact us.

• Electronic documents

In the construction industry, examining structural considerations can lead to improved design efficiency through the reuse of past similar structures and components. Particularly in complex structural calculations and detailed designs, it is crucial to quickly locate existing design assets and understand their shapes and specifications. However, when drawing numbers or part numbers are unclear, it can take a significant amount of time to find the necessary information from past design data, leading to design delays and duplicated designs. SS4M addresses these challenges through AI-powered 3D shape searches. 【Usage Scenarios】 - Searching for similar shapes of past structural components - Referencing design data of similar structures - Promoting the reuse of components in structural considerations 【Benefits of Implementation】 - Significant reduction in search man-hours for structural considerations - Improved efficiency through effective utilization of design assets - Reduction in new design man-hours and duplicated components

• Other CAD related software