Meiden starts selling small AI edge computer capable of detecting equipment anomalies and conducting predictive maintenance
Meidensha Corporation (Meiden) has started selling a small-size edge computer that collects sensing data from various automated equipment, such as those for manufacturing semiconductors, and detects anomalies in the equipment based on what has been machine-learned by artificial intelligence. This new product will allow users to conduct predictive maintenance.
Transmitting a vast amount of sensing data gathered at a manufacturing factory to “the cloud” can be delayed due to limitations in the network bandwidth. These delays compromise real-time monitoring. However, handling sensing data with the small AI edge computer at the endpoint allows real-time monitoring and prevents a slowdown in transmission speed. Furthermore, AI learning made it possible to reduce false alarms regarding equipment anomalies and ensure highly accurate anomaly detection.
<AI learning procedure>
1. AI edge computer is connected to target equipment to collect data
2. AI edge computer transmits collected sensing data to AI machine-learning server
3. AI learning server conducts machine-learning offline to produce AI parameters
4. Produced parameters are written into AI edge computer
5. AI edge computer autonomously judges if sensing data are normal or not
<Merits>
1. The AI edge computer can autonomously make judgments.
2. Meiden is developing a model compliant with SEMI Equipment Communications Standards, a communications protocol for semiconductor equipment, and aims to complete it in January 2018.
3. Its compact size (200 mm high, 140 mm wide and 47 mm deep) enables easy installation.
<Fields of application>
Automated production lines, such as equipment for production of semiconductors.
Contact at Meiden on this press release:
General Affairs & Public Relations Division
Tel: +81-3-6420-8100