Advanced Computer Vision Solution for Employee and Customer Safety Monitoring

The client requires an enterprise-grade solution to monitor employee and customer safety within manufacturing facilities. Key challenges include accurate detection of face masks, body temperature measurement, social distancing adherence, and real-time violation alerts, despite complex real-world scenarios such as occlusions, diverse face angles, and thermal imaging conditions.

A large manufacturing enterprise seeking to implement health and safety compliance measures using computer vision technology.

• Develop a robust computer vision system capable of counting personnel in designated areas.
• Accurately identify face mask compliance, including correct and incorrect mask-wearing detection.
• Implement reliable body temperature screening using thermal cameras with an accuracy of +/- 0.3°C.
• Enable real-time social distancing monitoring and room capacity management.
• Provide instant alerts for safety violations with detailed contextual information.
• Ensure system scalability and performance with edge device deployment across multiple locations.

• Accurate detection and recognition of multiple faces with occlusion handling.
• Detection of proper and improper mask usage using a large, diverse dataset.
• Thermal image processing for body temperature measurement with high precision.
• Object detection and tracking for multiple individuals in real-time.
• Counting personnel entering or exiting designated areas.
• Monitoring social distancing adherence and room capacity constraints.
• Instant violation alerts with detailed violation reports.
• Video post-processing to enhance detection accuracy under varied conditions.

• Thermal camera systems for temperature detection.
• Video surveillance infrastructure for live feed ingestion.
• Alert management systems for notifications.
• Access control or personnel management systems for identification updates.

• High processing speed with face image recognition speed < 15 ms per face.
• Temperature measurement accuracy within +/- 0.3°C.
• Scalable to handle multiple cameras and locations with an unlimited number of edge devices.
• Real-time detection and alerting with minimal delay.
• System robustness against varying environmental conditions, occlusions, and movement.

The proposed computer vision safety system aims to significantly enhance workplace safety compliance, with precise face mask detection, thermal screening, and social distancing monitoring. Expected outcomes include high detection accuracy, real-time violation alerts, scalable deployment across multiple locations, and improved adherence to health protocols, ultimately reducing safety incidents and ensuring regulatory compliance.