Video analytics is the process of extracting useful information from video data. This process has evolved in recent years thanks to artificial intelligence and machine learning technologies, allowing algorithms to analyze live feeds and generate alerts automatically.
Analyzing video data in real time consists of three main functions — detection, classification and tracking. Detection identifies objects of interest, such as people and vehicles, within a video frame and classifies them based on predefined criteria. Tracking functionality automatically follows the identified objects. These functions facilitate analytics, providing valuable, actionable insights into everyday processes for improved decision-making.
Video analytics is increasingly utilized across various industries and is expected to reach a market valuation of $37.7 billion by 2030.
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