object detection project

Object Detection - оne of the fastest free software for detecting objects in real time and car numbers recognition. After input of an image, noise is eliminated by smoothing, and the size of the image is normalized by using a pyramid data structure. The features of the image are obtained by means of filtering or Fourier transformation. A pattern that matches a standard form is chosen. The most suitable pattern is selected by using dynamic programming and the distance between the input image and the standard image.
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.

Local video storage on the gateway server on the subscriber side allows more efficient use of the outgoing channel due to data buffering. When a video analytics event occurs, the camera or the local gateway server records the video in local memory, which is then transferred to the cloud storage via an available communication channel. For such an event recording mode, the recording speed may be higher than the maximum video data rate. Local storage is also a means of ensuring the fault tolerance of a video surveillance system in the event of a temporary disconnection of the communication channel between the camera (local server) and the cloud application.