WIP20D-GAT40 2.0MP H.265 CCTV Camera

1.1080P HD resolution, clear and fine images;

2.Support 2D/3D noise reduction, digital wide dynamic;

3.Support ONVIF, access third party;

4.Support various mobile monitoring(iPhone, Android);

Datasheet:

FAQ:

Why Face recognition becomes the commanding point technology of video surveillance?

In the era of big data explosion, update iteration is the constant theme in the kaleidoscopic changes. Only walking ahead of the current situation can lead the future. In 2017, the hottest and most popular technology and product in video surveillance should be face recognition. All major CCTV manufacturers have launched various powerful face recognition systems. Especially, put forward the concept of “deep learning”.

Firstly, the traditional face recognition (a generation of learning methods are shallow learning) identification accuracy can up to 70%, even after deployment of security personnel time attention should be paid.However, the face recognition system with deep learning technology can achieve an average accuracy of more than 90% in all days, which can greatly save the energy of security personnel after deployment.

Secondly, Traditional face recognition can only be recognized by simple attributes such as binocular features, and the recognizable face attributes are too few. The face recognition system using the deep learning technology adopts the global face feature retrieval to model the global features of the face, not limited to the local characteristics of the human eye, so the accuracy of the depth learning face recognition algorithm has exceeded the human eye limit.