中部電力ミライズ Product Lineup

We provide "automation solutions through image analysis." By replacing the inspection processes currently performed visually with automated systems, we automate the three tasks of "visual confirmation," "cognitive judgment," and "manual classification." In manufacturing environments, various changes that can affect image analysis are conceivable. By carefully identifying risks and conducting preliminary validations with the assumption of on-site operations, we make proposals aimed at realizing the desired outcomes. 【Features】 ■ Automating quality checks with image analysis ■ Solving manufacturing challenges through automation with image analysis ■ Proposing appropriate solutions based on customer challenges *For more details, please refer to the related links or feel free to contact us.

In casting, factors such as quality defects and re-melting lead to increased energy consumption. Therefore, it is necessary to properly manage the temperature of the molten metal to prevent the occurrence of defective products. The "MiEL Thermo HT" contributes to improving traceability and utilizing data for quality improvement, which could not be achieved with conventional thermocouples or radiation thermometers. 【Features of this system】 ■ Manual measurements using thermocouples make it difficult to measure for each mold. → Measurement for each mold is possible. ■ Conventional radiation thermometers have large measurement errors due to the influence of disturbances, making it difficult to obtain stable data. → Measurement is stable and less affected by disturbances through image analysis! ■ Conventional radiation thermometers have narrow measurement areas, making measurement difficult. → Capable of measuring over a wide range and automatically extracting molten metal! ■ High costs when failures occur. → Optical devices use general-purpose industrial cameras, making replacement affordable! 【Benefits of implementation】 ■ Improved traceability through stable measurements for each mold. ■ Possible utilization of data for quality improvement. ■ Reduction of waste and labor hours due to decreased frequency of thermocouple measurements.

Addressing the on-site challenge of "difficult temperature management for each mold." 'MiEL Thermo HT' can automatically and stably measure the temperature for each mold, contributing to improved traceability. 【Benefits of Implementation】 - Temperature data acquisition on a mold-by-mold basis - Early detection of defective products - Usable as process management data - Labor-saving for thermocouple work Perfect for enhancing quality control and traceability. For more details, please download the materials or feel free to contact us.

Responding to the need to "improve quality by utilizing process data." 'MiEL Thermo HT' provides stable temperature data for each mold, which can be used for analysis and improvement. Features: - Process improvement utilizing data - Stabilization of quality and reduction of defects - Reduction of labor hours by decreasing the number of thermocouple operations - Easy implementation into existing furnaces If you are considering data-driven quality management, please download the materials for more details or feel free to contact us.

In traditional manual thermocouple measurements, issues such as increased labor and waste generation were challenges. The "MiEL Thermo HT" automatically measures the temperature for each mold, reducing the number of thermocouple operations. 【Benefits of Implementation】 - Reduction in labor hours - Decrease in waste generation - Improved quality through stable data acquisition - Easy integration with existing equipment This is a temperature measurement solution that balances production efficiency and environmental impact reduction. For more details, please download the materials or feel free to contact us.

Addressing the issue that "conventional radiation thermometers have large measurement errors due to disturbances," the 'MiEL Thermo HT' utilizes image analysis technology to suppress the effects of disturbances and achieve stable temperature measurement. 【Features】 - Stable measurement resistant to disturbances - Automatic extraction of a wide range of molten metal temperatures - Improved traceability for each mold - Reduced man-hours by decreasing thermocouple work This is a solution that balances stable temperature measurement with quality improvement. For more details, please download the materials or feel free to contact us.

"Automated solutions through image analysis" eliminate the quality variations caused by operators in traditional visual inspections and contribute to the stabilization of product quality. By automating the process of visually confirming, making judgments with the brain, and classifying with the hands, we achieve uniformity in inspection accuracy and improved reliability. Furthermore, by identifying risks and conducting pre-verification according to changes in on-site conditions, stable operations can be maintained even after implementation. This is a manufacturing solution that can balance the efficiency of production lines with quality improvement. [Features] ■ Eliminates variations in inspection quality by operators and contributes to the stabilization of product quality. *For more details, please refer to the related links or feel free to contact us.

The "automated solution through image analysis" can appropriately store and manage the data obtained from the automation of the inspection process. This allows it to be utilized as big data that contributes to product quality improvement. By analyzing the defective patterns and trends that occur on the production line, it can aid in process improvement and defect reduction, thereby streamlining the PDCA cycle in the manufacturing site. It is a device that not only improves inspection accuracy but also realizes data-driven quality management. 【Features】 ■ Inspection data can be appropriately stored and utilized as big data for product quality improvement. *For more details, please refer to the related links or feel free to contact us.*

The 'Automated Solution through Image Analysis' achieves labor and effort reduction by automating inspection processes that were previously conducted manually. It allows for high-precision inspections without relying on human labor, significantly reducing the workload. Furthermore, automation improves inspection speed and contributes to the overall production efficiency of the line. It is an efficiency solution for the manufacturing industry that ensures quality while minimizing the burden on workers. [Features] ■ Enables labor and effort reduction through automation *For more details, please refer to the related links or feel free to contact us.*

The automated solution through image analysis can validate a wide range of combinations of optical devices, not limited to packaged products. We can provide custom design and development of optimal inspection equipment tailored to the challenges on-site and product characteristics. As a result, high-precision inspections can be conducted immediately after implementation, improving the stability of line operations. We offer optimal solutions to help our customers achieve autonomous automation. [Features] ■ We can validate numerous combinations of optical devices regardless of packaged products and provide optimal proposals. *For more details, please refer to the related links or feel free to contact us.

"Automated Solutions through Image Analysis" supports the realization of autonomous automation for our customers through AI technology-assisted guidance. We can provide advice on improving analysis accuracy and process enhancements from the introduction of image analysis to its operation. This enables optimal automation tailored to the on-site situation, contributing to the resolution of labor shortages while maintaining inspection accuracy and production efficiency. It is a solution for manufacturing sites that allows for stable operation even after implementation. [Features] ■ Support for the utilization of AI to achieve our customers' autonomous automation. *For more details, please refer to the related links or feel free to contact us.

In the manufacturing industry, maintaining product quality and ensuring stable supply are emphasized. Particularly in visual inspections, it is essential to accurately detect minute scratches and foreign object contamination to prevent the outflow of defective products. Inspections relying on the experience and intuition of skilled workers tend to show variability among inspectors, and with the worsening labor shortage, maintaining the inspection system has become a challenge. Our automated solution using image analysis addresses these issues by enabling inspection automation based on objective data, supporting quality improvement and productivity enhancement. 【Application Scenarios】 ■ Detection of changes in vibration patterns due to mold wear or foreign object entrapment in pressing ■ Visualization of the state of paint mist (speed and direction) in the painting booth ■ Visualization of molten metal temperature (1100°C to 1400°C) through image analysis 【Benefits of Implementation】 ■ Reduction of human errors through inspection automation ■ Stabilization of the inspection system by reducing dependence on skilled workers ■ Promotion of quality improvement based on data ■ Resolution of labor shortages and enhancement of productivity

In the food processing industry, preventing foreign matter contamination is extremely important to ensure product safety and gain consumer trust. In particular, the inclusion of fine foreign substances on the manufacturing line poses risks of product quality deterioration and health hazards. Visual inspections may lead to oversights and variations in judgment accuracy due to inspector fatigue. Our company offers an "automated solution" using a proprietary image analysis program to support the resolution of these challenges. 【Usage Scenarios】 ■ Early detection of foreign matter contamination on the manufacturing line ■ Quality checks during raw material acceptance ■ Inspection of packaged products 【Benefits of Implementation】 ■ Reduction of foreign matter contamination risks and improvement of quality ■ Labor-saving and cost reduction through automation of visual inspections ■ Stabilization of inspection accuracy and elimination of reliance on individual inspectors

In the automotive parts industry, precise dimensional measurement is required to maintain product quality and improve production efficiency. In particular, early detection of minute dimensional variations on the manufacturing line and changes due to part wear is essential for reducing product defects and preventing recalls. Visual inspections by skilled workers can be affected by variations in judgment criteria and fatigue from long hours of work, which can impact quality. Our company offers an "automation solution" that addresses these challenges through our proprietary image analysis program. It is possible to capture changes that lead to dimensional measurements from image data obtained using a standard visible light camera. 【Usage Scenarios】 ■ Detection of dimensional changes in stamped parts ■ Confirmation of shape and dimensional stability in molded parts ■ Verification of the fitting condition of parts in the assembly process 【Benefits of Implementation】 ■ Reduction of inspection man-hours through automation of dimensional measurement ■ Realization of quality control based on objective data ■ Decreased dependence on skilled workers and standardization of judgment criteria

In the semiconductor industry, the detection of minute defects and the stabilization of the manufacturing process are emphasized as crucial for ensuring product quality and reliability. Particularly in processes that rely on visual inspection, the skill level of inspectors can influence outcomes, and labor shortages may impact production efficiency. Overlooking minute defects can lead to product failures and a decrease in yield. Our automated solution using image analysis addresses these challenges by achieving high-precision defect detection and automation of the inspection process based on objective data. 【Application Scenarios】 ■ Detection of minute foreign objects and scratches on the manufacturing line ■ Appearance inspection of wafers and chips ■ Early detection of abnormal signs in the manufacturing process 【Benefits of Implementation】 ■ Improved inspection accuracy and reduced variability ■ Cost savings in labor and increased productivity through automation of the inspection process ■ Reduced dependence on skilled workers and standardization of know-how ■ Promotion of data-driven quality improvement activities

In the apparel industry, maintaining consistent product quality and accurate size assessment is essential for improving customer satisfaction. In particular, inspections conducted by human eyes can face challenges such as variability due to skill levels and increased burdens from labor shortages. Accurate size assessment is crucial for preventing the outflow of defective products and maintaining brand image. Our automated solution using image analysis addresses these challenges by enabling inspections based on objective data. 【Usage Scenarios】 - Measurement and assessment of clothing sizes - Detection of sewing defects - Texture quality checks 【Benefits of Implementation】 - Improved and standardized inspection accuracy - Increased efficiency in the inspection process - Reduction in labor costs - Enhanced customer satisfaction through stable quality

In the logistics warehouse industry, rapid and accurate picking operations are required. Particularly, as labor shortages become more severe, reducing the burden on workers and minimizing errors are important challenges. Tasks that heavily rely on skilled workers can lead to increased training costs and variations in work quality. Our automation solution using image analysis addresses these challenges by analyzing work conditions from image data, supporting efficiency and stabilization of quality. 【Usage Scenarios】 - Product identification support during picking operations - Optimization analysis of work flow - Early detection of work errors 【Benefits of Implementation】 - Improved picking accuracy - Reduced work time - Support for alleviating labor shortages

In the medical device industry, accurate assembly verification of parts is required to ensure product safety and reliability. Particularly in the assembly of fine components and complex processes, there are limitations to visual inspection, which can lead to risks of human error and reliance on skilled workers. These challenges can potentially impact product quality stability and production efficiency. Our automated solution using image analysis addresses these issues by enabling inspections based on objective data, supporting quality stabilization and alleviating labor shortages. 【Use Cases】 - Verification of the assembly state of medical device components - Confirmation of the presence and position of fine parts - Detection of foreign object contamination 【Benefits of Implementation】 - Early detection of assembly defects and quality improvement - Increased productivity through automation of the inspection process - Reduced reliance on skilled workers and standardization of operations

In the pharmaceutical industry, particularly in tablet identification, there is a demand for product uniformity, the absence of defects, and accurate verification of identification information. When these inspections are conducted by human eyes, there is a possibility of oversight due to fatigue and variability in judgment criteria. Additionally, reliance on skilled personnel can become a challenge during times of labor shortages. Our automated solution using image analysis addresses these issues by achieving objective and stable inspections. 【Usage Scenarios】 - Visual inspection of tablets (shape, color, foreign matter contamination, etc.) - Verification of tablet identification information (such as engravings) - Real-time quality monitoring on the production line 【Benefits of Implementation】 - Improvement and stabilization of inspection accuracy - Reduction of the burden of manual inspection tasks - Decreased reliance on skilled workers - Promotion of improvement activities based on quality data

In the printing industry, accurate management and inspection of color tones are required to maintain product quality and ensure stable supply. In particular, color variations between lots and subtle changes in color tones are significant issues that affect product reliability. Inspections relying on the experience of skilled workers may lead to labor shortages and inconsistencies in judgment. Our automated solution using image analysis supports the stabilization of quality and the automation of inspections by analyzing changes in color tones from image data captured by standard visible light cameras. 【Usage Scenarios】 - Automation of color tone inspection for printed materials - Early detection of color variations between lots - Reduction of inspection tasks dependent on skilled workers 【Benefits of Implementation】 - Stabilization of product quality - Reduction of inspection labor - Resolution of labor shortages

In the cosmetics industry, precise filling amounts are required to maintain product quality and achieve uniform finishes. In particular, visual checks of filling amounts tend to rely on the skill level of the operator, which can lead to human errors and variations. Additionally, as labor shortages become more severe, streamlining the inspection process is an urgent issue. Our company offers a "automation solution" through a unique image analysis program to support the resolution of these challenges. 【Usage Scenarios】 ■ Automation of visual inspection for filling amounts on cosmetic filling lines ■ Early detection of defective products and reduction of defect rates ■ Reduction of reliance on judgments made by skilled workers 【Benefits of Implementation】 ■ Labor savings through automation of filling amount verification tasks ■ Improved inspection accuracy and stabilization of quality ■ Increased production efficiency