video object recognition software

Object Detection - оne of the fastest free software for detecting objects in real time and car numbers recognition. Considering the capabilities of present-day computer vision, it might be hard to believe that there are more benefits and applications of the technology that remain unexplored. The future of computer vision will pave the way for artificial intelligence systems that are as human as us. However, before doing so, there are a few challenges that must be overcome, the biggest of them being the demystification of the black box of AI. That’s because just like other deep learning applications, computer vision, while being functionally effective, is undecipherable when it comes to its inner workings.
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.

For object identification, your model will recognize a specific instance of an object – for example, parsing two faces in an image and tagging.