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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Food Industry

AI detects abnormalities in the food manufacturing line, supporting hygiene management and improving operational efficiency.

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

Watch the archived webinar 'Aim for 100% Operability! The Future of Production Sites Brought by the Transformation of Maintenance Operations' here.

basic information

【Features】 - AI automatically learns abnormal signs of equipment and monitors them in real-time - Easily connects to various equipment such as PLCs and sensors without programming - Visualizes equipment status and operating conditions through a real-time dashboard - Utilized not only for monitoring signs of equipment failure but also for analyzing factors causing defects - Supports numerical anomalies, correlation anomalies, and change detection, achieving multifaceted monitoring

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Applications/Examples of results

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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Anomaly Detection and Equipment Diagnosis System CX-D

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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.