What are the key challenges and techniques for deploying computer vision models on edge devices? How do you balance accuracy and latency when optimizing for constrained hardware?

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Deploying computer vision models on edge devices introduces constraints fundamentally different from cloud deployment. Limited compute, memory, power budget, and real-time requirements demand careful optimization while maintaining acceptable accuracy.