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DM BITECH delivers advanced AI-driven multi-object video analytics powered by cutting-edge technology, enabling real-time recognition of faces, bodies, vehicles, and license plates across live streams and archives. This comprehensive solution supports instant threat detection, rapid retrospective searches by photo or attributes, accurate crowd counting without double-counting, seamless body tracking across cameras, long-range vehicle and license plate identification with attribute linking, and robust liveness detection to prevent spoofing.
Designed for smart city public safety, it provides high-speed, highly accurate insights for law enforcement, crowd management, traffic monitoring, restricted zone protection, and incident response — all deployable on-premise or hybrid, ensuring secure, ethical, and scalable protection for urban environments.
At the core of our AI-Driven Multi-Object Video Analytics is an ultra-accurate neural network technology — independently ranked as the world’s most precise facial recognition system (NIST FRVT top performer across multiple categories, including highest accuracy in uncontrolled conditions).
Key highlights include:
This foundation delivers unmatched speed, reliability, and privacy-focused intelligence — powering ethical, high-impact solutions for smart cities and public safety in South Africa.
DM BITECH’s AI-driven solutions, powered by N Tech Lab’s FindFace platforms, integrate effortlessly into your existing infrastructure — no rip-and-replace required.
Key seamless integration features include:
FindFace Multi offers a well-documented API with webhook support for quick, real-time connection to third-party systems like access control, monitoring tools, cash registers, and VMS.
Works with any camera and live video streams/archives, overlaying advanced face, body, vehicle, and LPR recognition without hardware changes.
FindFace SDK (C library) lets developers easily add video analytics (detection, identification, liveness, attributes, tracking) to current products/services with multithreading and GPU support.
Supports integration with monitoring systems, BI tools, and networked cameras for urban security, enabling fast deployment in smart city setups while maintaining on-premise or hybrid options.
This approach ensures high-accuracy multi-object analytics enhance your current CCTV/VMS ecosystem with minimal disruption, delivering instant intelligence for public safety and security.
DM BITECH, powered by award-winning technology, delivers proven results in public safety, smart cities, and security worldwide. Here are key examples of impact from large-scale deployments:
These deployments highlight 99%+ accuracy, fast processing, and seamless integration with existing CCTV — delivering faster incident response, reduced crime, and enhanced situational awareness. In South Africa and similar markets, our local expertise adapts these proven capabilities to address unique infrastructure and regulatory needs (e.g., POPIA compliance, on-premise deployment).
It delivers 99% accuracy, with queries on over 1.5 billion faces completed in under 1 second, even in low-quality or distant video.
The system simultaneously detects faces, bodies, vehicles, and license plates, enabling crowd counting, movement tracking across cameras, and duplicate-free headcounts for urban safety.
Liveness SDK verifies real users via mobile/web integrations, detecting spoofs like photos or masks with iBeta PAD Level 1 compliance to ensure secure authentication.
Yes, it supports seamless CCTV network integration for searching video archives by attributes (age, gender, vehicle model), aiding quick incident investigations in smart cities.
Deployed in metropolitan safe city systems (Eastern Europe), FIFA 2018 for offender detection, Indian railways for surveillance, and ports for monitoring, reducing response times and enhancing security.
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