In the era of IoT (Internet of Things) and connected devices, edge computing is emerging as a game-changer in the field of video surveillance. Traditionally, CCTV systems relied on centralized processing, where footage was transmitted to a remote server for analysis. However, this approach posed challenges such as latency issues and bandwidth constraints.
Enter edge computing: a decentralized computing paradigm that brings processing power closer to the data source. By leveraging edge devices such as cameras with built-in processors, CCTV systems can analyze video footage locally, in real-time, without the need for constant data transmission to a remote server.
Looking forward, the integration of edge computing into CCTV systems is expected to accelerate, driven by advancements in hardware miniaturization and AI algorithms optimized for edge processing. From smart homes to industrial IoT deployments, edge-enabled surveillance solutions will play a crucial role in shaping the future of security and surveillance.
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