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The Role of Edge Computing in Modern Security Systems

ovsero • June 19, 2025

Edge computing represents one of the most significant architectural advancements in AI-powered security systems, fundamentally changing how video analysis occurs. Traditional cloud-based approaches introduced latency, bandwidth constraints, and potential points of failure in internet connectivity. Edge computing addresses these limitations by processing video data directly on local devices, delivering several critical advantages for security applications. First, response time improves dramatically—our benchmarks show threat detection in under 300ms on edge devices compared to 1-2 seconds with cloud processing. Second, bandwidth requirements decrease by up to 98% when only relevant clips and metadata are transmitted rather than continuous video streams. Third, privacy concerns diminish when sensitive video data remains on local networks. At ovsero, our hybrid architecture leverages custom edge devices containing specialized AI accelerators that run optimized versions of our detection models. These devices handle real-time analysis while periodically connecting to cloud services for model updates and reporting. This approach has proven particularly valuable in locations with limited connectivity, such as remote facilities or temporary security installations where reliable internet cannot be guaranteed. As edge hardware continues advancing, we anticipate even more capabilities moving to local processing, further improving system reliability and performance.

Edge Computing System Architecture Network Security