This Intel white paper outlines how system integrators can successfully implement computer vision solutions at the network edge. With video data volumes surging across industries like healthcare, retail, and public safety, enterprises face challenges in storage, processing power, and security. Intel addresses these with optimized processors, FPGAs, Movidius VPUs, and the OpenVINO toolkit, enabling scalable, low-latency AI at the edge. Best practices include designing for edge constraints, using trusted solutions, running pilot projects, and bridging skills gaps. Case studies with Philips, Outdu, and Advantech demonstrate real-world gains in diagnostics, visitor analytics, and retail operations.

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