.png)
Video Analytics
Video analytics (also known as video content analysis, or VCA) is a type of technology that automatically analyses video content. We do this by using algorithms that process video's in order to carry out a specific task - eg. facial recognition, identifying moving objects or reading vehicle license plates
Who uses video analytics?
Video analytics has many different uses. Some of the most common applications are security, marketing, and transportation, with the security industry being one of the largest service areas.
What is video analytics in AI?
AI Video Analytics
Increase insights from data in video files by using AI to automatically detect, analyze, and interpret activity in real time. Works with classifications of object such as people, cars, and license plates within image and video feeds in real time.
What is smart video analytics?
Using security cameras, Smart Video Analytics can detect intruders, left behind objects, and suspicious patterns of users moving through an area. If an issue is detected, designated responders receive an immediate alert.
How does facial recognition work?
Facial recognition uses computer-generated filters to transform face images into numerical expressions that can be compared to determine their similarity. These filters are usually generated by using deep “learning,” which uses artificial neural networks to process data.
Why we use face recognition?
Facial recognition has turned into a popular tool to authenticate the identity of an individual. In modern times, this technology has been used in various sectors and industries to prevent ID fraud and identity theft.
What technologies use face recognition?
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 a person's identity,