Gyrus AI Factory Vision overview
- Anomaly detection –
Deep learning-based factory vision models trained with thousands of images can help identify defects on objects passing through conveyor /factory belt. This is much more accurate than human eye-based inspection and can help manufacturers improve yield rates and quality control with less human intervention. Damages to equipment, conveyor belt monitoring, detection of jamming, material quality monitoring, volumetric measurement, and color recognition are some of the factors that can trigger an alarm.
- Surveillance – Worker safety & Assets Security–
Gyrus AI’s surveillance and face recognition models allow only authorized personnel to enter the restricted premises. It will prevent thefts in factories and any deceitful activities that could take place, as instant alarms can be raised if such practices are identified. Surveillance AI models can help monitor activities in critical areas and can trigger alarms for non-compliance with safety measures. The vision models can help with work attire detection, skull cap detection, PPE kit detection, face mask detection, etc.
- Operations and management efficiency –
Gyrus AI/ ML models can help identify any loopholes in the workflow and generate correlated solutions to optimize the operation. The AI engine can provide real-time alerts on the cleanliness of the shop floor, queue length alerts, congestion alerts, staff efficiency, inventory service levels, and consumption patterns. The data can be used to reduce the time employees spend on tasks that aren’t productive and increase the employees’ work efficiency. Smart cameras equipped with business intelligence applications can reduce downtime by foreseeing potential interruptions or production jams and alerting staff in real-time, allowing them to take action immediately.
Gyrus AI website
