This competition invites researchers and professionals to develop a comprehensive system design for a chip optimized to efficiently run state-of-the-art computer vision models, specifically Deep Neural Networks (DNNs). Participants are expected to propose a design that addresses real-world application requirements, supported by clear justifications and a well-structured breakdown. The goal is to ensure that even fresh graduates can implement and test the proposed system effectively. The competition places a strong emphasis on in-depth research, culminating in a practical chip design tailored for real-world computer vision tasks, and backed by a robust software and firmware stack.