AI detects abnormalities in the automobile production line and supports the improvement of production efficiency.
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
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【Features】 - AI automatically learns abnormal signs of equipment and monitors in real-time - Easily connects to various equipment (PLC, robots, etc.) without programming - Visualizes equipment status with a real-time dashboard - Promotes predictive maintenance and quality improvement simultaneously - Supports connection to over 200 types of devices
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For case studies and implementation effects of this product, please watch the archived webinar. ▶ Watch the archived webinar here URL: https://sandx.seminarone.com/QHz1JY3jSEudFMm438x5Pg/event *The content is the same as the archived webinar above.
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We are a trading company that has been supporting manufacturing in the IoT era for 70 years. Our domestic locations include our headquarters in Kyoto (Minami-ku, Kyoto City), a sales office in Nagoya (Meito-ku, Nagoya City), a sales office in Shiga (Ritto City, Shiga Prefecture), a branch office in Akashi (Kakogun, Hyogo Prefecture), and a sales office in Okayama (Kita-ku, Okayama City), as well as two overseas locations in Malaysia and the Philippines.
