We are looking to hire experienced freelancers to help build a next-generation AI-powered camera management system for a camera business that is moving from traditional operations to a more advanced, centralized, and intelligent platform. The objective is to develop a scalable solution that can support multi-camera monitoring, AI-based body scanning, behavior tracking, vehicle number plate recognition, drone integrations, real-time alerts, and secure admin control. The platform should be designed for future growth and long-term operational use. This is not a basic prototype — we are looking for professionals who have worked on relevant, production-level systems. Project Scope The system will include, but is not limited to, the following capabilities: 1. Live camera streaming and recording. 2. AI-based body/person scanning and detection. 3. Behavior tracking and suspicious activity analysis. 4. Number plate detection and recognition. 5. Drone integration for extended surveillance coverage. 6. Smart event detection and automated notifications. 7. Admin dashboard with user, camera, and access management. 8. Secure data handling, audit logging, and role-based access. 9. Scalable architecture for future expansion and advanced features. Required Expertise: We are specifically looking for freelancers with hands-on experience in one or more of the following areas: -Backend development for surveillance, monitoring, or AI-based systems. -Frontend development for admin dashboards and monitoring interfaces. -Mobile app development for iOS and Android. -AI / ML development for detection, recognition, and tracking. -Computer vision and video analytics. -Camera integrations using RTSP / ONVIF. -Drone integration and external device connectivity. -Vehicle number plate recognition / LPR systems. -Cloud architecture, DevOps, and deployment pipelines. -QA and testing for real-time and AI-driven systems. Preferred Technical Stack Experience Experience with the following technologies will be highly valuable: -React.js or similar dashboard frameworks. -Node.js, Python, or similar backend stacks. -OpenCV, TensorFlow, PyTorch, YOLO, FaceNet, DeepFace, EasyOCR, or OpenALPR. -FFmpeg, WebRTC, or GStreamer for video processing. -Docker, Kubernetes, CI/CD, and cloud deployment. -Secure authentication, RBAC, logging, and scalable system architecture. Who Should Apply: We are looking for freelancers who can contribute to a serious, real-world, production-grade platform. This project requires people who understand the complexity of camera systems, AI analytics, video processing, and integration-heavy environments. Important Note: Only freelancers who can share directly relevant project experience will be considered. Please apply only if you have completed work that closely matches this requirement. Profiles without matching experience or unrelated examples will be ignored. How to Apply: -Please include the following in your response: -A brief summary of your relevant experience. -Details of similar projects you have completed. -Links to live projects, portfolios, demos, or case studies.