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 issuance and notifications to mobile devices. In situations where real-time response is critical, this technology allows for quick action to prevent labor accidents, even in remote locations or areas where management oversight is lacking, or if someone accidentally enters a hazardous zone where wearing a helmet is mandatory. *For more details about the case, please refer to the related links. For further inquiries, feel free to contact us.*
- Company：ネクストシステム 福岡本社
- Price：Other
