Object Detection on Edge Device – Deploying YOLOv8 on OAK-D-Lite
“Performing Object Detection on edge device is an exciting area for tech enthusiasts where we can implement powerful computer vision applications in compact, efficient packages. Here we show one such interesting embedded computer vision application by deploying models on a popular edge AI device like OAK-D-Lite.
According to the World Health Organization’s 2023 report, road accidents claim 1.19 million lives annually and cause non-fatal injuries to 20 to 50 million people. A major contributor to these unsafe driving conditions is road potholes. To address this issue, we demonstrate the procedure for running a fine-tuned pothole detection model (YOLOv8) on the OAK-D-Lite device. In a broader perspective, this deployment can serve as a baseline reference, which can be extended to assist drivers by providing real-time monitoring and warning indicators, thereby enhancing road safety.
To learn more about OAK-D and its essential applications, we recommend that you bookmark our series on Stereo Depth and OAK-D…”
Source: https://learnopencv.com/object-detection-on-edge-device/