video surveillance software review

Object Detection - оne of the fastest free software for detecting objects in real time and car numbers recognition. Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Facial recognition can help verify personal identity, but it also raises privacy issues.
Have you heard about special requirements and the need for a powerful server for video analytics? Have you been told tales about the fact that real-time detection requires special powerful servers?

Our product refutes this claim!

Object Detection video surveillance software turns your computer into a powerful video-security system, allowing you to watch what's going on in your home or business remotely.

The program allows automatic recognition of car numbers (license plates).


Software is based on modern technologies based on neural networks, trained on large data sets.

As specific event occurs Object Detection software will automatically upload video to the server. You'll be able to review all webcasts and events using your YouTube channel.

Our app also saves disc space and equipment costs. Time-lapse mode is available 24/7 for storage.
The current version supports Windows 7 - 10 (64-bit). In the future, the program will be released for other platforms.

Object Detection 5.0 allows the detection of objects in real-time on standard computer. Of course, if your computer has a GPU graphics card and supports CUDA, then the performance will be even higher.

Network Video Recorders. In addition, IP cameras are compatible with network video recorders (NVRs), which offer several other benefits over the older digital video recorders (DVRs) that this guide will cover. In short, NVR records higher-quality video and allows for systems to be scaled up much more easily than can be done with DVR. For more information on video recorders, see the section below.