Efficiency improvement in quality control through sensor integration for the manufacturing industry.
Utilizing sensor data to streamline and stabilize quality control.
In quality control within the manufacturing industry, it is important to maintain product quality and suppress the occurrence of defective products. By utilizing sensors, it is necessary to collect various data from the manufacturing process, detect anomalies early, and contribute to quality improvement. However, there are challenges in collecting data from multiple sensors and visualizing that data. Our sensor integration solution supports the efficiency of quality management by centrally collecting and visualizing data from multiple sensors. 【Usage Scenarios】 - Quality inspection of products on the production line - Anomaly detection in the manufacturing process - Analysis and improvement of quality data 【Effects of Implementation】 - Reduction of defective products - Reduction of quality management costs - Optimization of the manufacturing process
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【Features】 - Centralized control of multiple sensors by CPU - Realization of a system for bulk acquisition and transfer of vast sensor data - Technology for handling "sensors" that convert analog to digital - Technology that connects sensors, CPU, and cloud 【Our Strengths】 Leave IoT systems to us. We provide ideal IoT systems for our customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Focusing on the <3C> of "Connect, Collect, Coordinate," we visualize various data to achieve management, development, and research objectives.
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Our company provides ideal IoT systems for customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Focusing on the "3Cs" of Connect, Collect, and Coordinate, we visualize various data to achieve management, development, and research objectives.
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