Author: Alex Orsholits In the realm of edge AI computing, inferencing performance is constrained by power consumption, heat generation, and total device footprint. Addressing these challenges requires a delicate balance between optimizing for efficiency and maintaining high-performance computation, which is where dedicated hardware shines. With the emergence of co-processing solutions, highly integrated platforms for autonomous driving tasks that make effective use of limited computational resources are slowly but surely becoming reality. RockPi 5B & Hailo-8 Coprocessor In response these considerations, Tsukada laboratory has begun to explore the deployment of Hailo-8 AI coprocessors in conjunction with ARM-based RK3588 single board computers (SBCs) for AI vision offloading. The overall platform leveragesRead more