Perception systems must process a large volume of continously generated sensor data
under strict real-time constraints. Critical decisions rely on perception systems which
constantly scan their environment for pedestrians, stoplights, and obstacles.
Problem: Full model inference on every frame increases latency
With moco: Early exit on easy frames (clear roads, static scenes)
Impact: Reduced compute per frame
Outcome: Lower energy consumption → longer battery life
