Dramatically improve quality through real-time monitoring and AI-driven fault prediction.
From reliable real-time monitoring to AI-powered failure prediction. Achieve an unstoppable manufacturing line that dramatically enhances quality!
Recently, with the advancement of IoT, more companies are introducing anomaly detection systems in their manufacturing lines. However, despite having implemented the latest systems, the site is in complete chaos for some reason. Improvements in operational efficiency and quality enhancement are hard to achieve. Is there a smart solution to resolve these issues without much hassle? [For those facing such challenges] - A system was introduced to notify the occurrence of anomalies by lighting up a warning lamp. However, the on-site workers are too busy to notice the anomalies, leading to a surge in defective products... - A system was established to collect data from manufacturing equipment and monitor it in the office. However, without appropriate data and with difficult analysis, fundamental issues remain unresolved, causing problems to recur... - When the threshold was tightened to improve detection accuracy, anomalies occurred frequently, resulting in an alert hell! If the threshold is loosened within the standard range, anomalies are missed... - The on-site environment is hot and humid, causing frequent server failures. Maintenance takes time, during which the system is down for long periods, halting both data collection and monitoring... *For more details, please refer to the materials. Feel free to contact us with any inquiries.
- Company：ペンギンソリューションズ (日本ストラタステクノロジー) 本社
- Price：Other
