video surveillance software

Object Detection - оne of the fastest free software for detecting objects in real time and car numbers recognition. How facial recognition works. You might be good at recognizing faces. You probably find it a cinch to identify the face of a family member, friend, or acquaintance. You’re familiar with their facial features — their eyes, nose, mouth — and how they come together. That’s how a facial recognition system works, but on a grand, algorithmic scale. Where you see a face, recognition technology sees data. That data can be stored and accessed. So how does facial recognition work? Technologies vary, but here are the basic steps: Step 1.
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.

Object detection deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Object detection has applications in many areas of computer vision, including image retrieval, face detection and video surveillance.