The global AI in video surveillance market is projected to reach $28.76 billion by 2030, with a CAGR of 28.1% from 2024 to 2030, as per Grand View Research. Advancements in deep learning and computer vision technologies have enhanced the accuracy and capabilities of AI-powered video analytics, enabling features like facial recognition and object detection.
Deep learning algorithms can analyze video footage in real-time, identifying individuals and objects accurately. The integration of AI and machine learning into camera hardware has enabled real-time analytics and intelligent decision-making at the edge, reducing the need for constant data transmission to centralized servers or the cloud.
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