Helmet non-wear detection
In situations where real-time performance is emphasized, it can be utilized for the prevention of workplace accidents!
This case study introduces a demonstration of the real-time object detection model "YOLOX" using AI technology to detect the absence of helmets on heads. Assuming a real-world scenario, it detects individuals without helmets among multiple people while controlling to avoid false detections based on colors and other factors. By integrating with external devices, it also enables alert notifications and notifications to mobile devices. In situations where real-time response is crucial, and in locations where management or supervisors cannot easily oversee, this technology allows for rapid responses even if someone accidentally enters a mandatory safety zone, thereby helping to prevent workplace accidents. *For more details about the case study, please refer to the related links. Feel free to contact us for more information.*
- Company：ネクストシステム 福岡本社
- Price：Other
