AI Expert for Vision-Based Compliance Monitoring

# AI Camera Vision Expert Required – Face Recognition, Mask, Hairnet, Mobile Usage & Footfall Detection **Project Overview** We are looking for an experienced AI Camera Vision / Computer Vision Expert to develop, optimize, and deploy AI-based video analytics solutions using IP cameras and live RTSP video streams. The project involves detecting people, identifying faces, monitoring hygiene compliance, detecting mobile phone usage, and tracking footfall in specific locations such as factories, kitchens, restaurants, and commercial premises. ### Key Requirements The expert should have experience in the following areas: 1. **Face Detection & Recognition** - Detect and capture human faces from camera feeds. - Identify and match faces against an authorized database, where applicable. - Support staff identification and attendance-related use cases. 2. **Mask Detection** - Detect whether a person is wearing a mask. - Handle different camera angles, lighting conditions, and crowded environments. 3. **Hairnet Detection** - Detect whether a person is wearing a hairnet correctly. - Support hygiene compliance monitoring in kitchens and manufacturing facilities. 4. **Mobile Phone Usage Detection** - Detect when a person is using a mobile phone in a restricted area. - Generate alerts or events when a violation is detected. 5. **Footfall & Location-Based People Counting** - Count people entering or exiting a specific area. - Monitor occupancy in defined zones, such as kitchens, billing counters, entrances, and production areas. - Generate reports on footfall and occupancy. ### Technical Skills Required - Strong experience with Python and computer vision. - Hands-on experience with OpenCV, YOLO, PyTorch, TensorRT, or similar frameworks. - Experience integrating IP cameras through RTSP streams. - NVIDIA GPU acceleration and model optimization. - Experience with object detection, face recognition, multi-object tracking, and custom model training. - Ability to optimize GPU utilization for multiple concurrent camera streams. - Experience deploying solutions on Linux-based GPU servers. ### Project Expectations - Evaluate and improve existing AI models or develop custom models where required. - Optimize performance and accuracy across multiple camera feeds. - Reduce false positives and false negatives. - Provide reliable detection results under real-world conditions. - Share technical documentation, performance benchmarks, and deployment instructions. - Support testing and tuning based on actual camera footage. ### To Apply Please share: - Relevant AI camera vision projects you have completed. - Your experience with face recognition, mask/hairnet detection, mobile usage detection, and footfall analytics. - The models and frameworks you recommend for these use cases. - Your experience with NVIDIA GPUs and TensorRT optimization. - Estimated timeline, availability, and commercial proposal. **We prefer an expert with proven experience in real-world AI video analytics and multi-camera GPU optimization.** This may lead to ongoing work on additional AI camera vision use cases and deployments. Please apply with relevant project examples and a brief explanation of your proposed technical approach. Note: We are looking for this project to complete within 15 days. Project Cost:35K (INR)