 Edge YOLO is a lightweight version of the popular YOLO V5M model, designed specifically for use on embedded platforms such as smartphones and IoT devices. It is 70.3% less computationally intensive than its predecessor, 71.6% smaller in model size, and 44.4% faster in detection speed. This makes it ideal for applications where computational resources are limited or expensive, such as autonomous vehicles and drones. This article was authored by Jun Qingli and Zhou Miaoyi.