We present an autonomous PTZ camera solution which is able to detect, classify, track objects in real-time and estimate their real-world position. Our solution combines new advances in deep learning with a classical computer vision approach.
Fully autonomous detection camera that is able to replace a human guard was historically bounded by low-quality classification, low tracking accuracy in moving cameras and low image quality at night. Today’s evolution of DNNs, laser cameras & strong GPUs gives way to huge progress towards fully autonomous guarding-system. Our work combines state of the art classification networks with new approaches for semi-automatic calibration to create a camera-based Radar for perimeter defense.