Edge-inference computer vision application designed to run on IoT hardware.
Real-world captures from the deployed YOLOv8 model running on low-power edge hardware.
Edge-inference machine learning system designed to identify non-compliant waste items and stop illegal dumping at community disposal sites. Optimized YOLOv8 models to run efficiently on low-power hardware like Jetson Nano and Raspberry Pi paired with Coral TPUs.