Dirt Detection on floor usage in robotic vaccum cleaner by EdgeSync TechnologiesDirt Detection on floor usage in robotic vaccum cleaner by EdgeSync Technologies
Developed a computer vision-based dirt detection system using YOLOv8 (You Only Look Once v8) to identify and classify dirt patches on floor surfaces in real time. The model was trained to detect the presence of dirt and further classify it as wet or dry using labeled image datasets captured under diverse lighting and surface conditions.
Based on the classification output, the robotic vacuum cleaner dynamically adjusts its cleaning mode—activating scrubbing/wet mopping for wet dirt and suction mode for dry debris—optimizing cleaning efficiency and resource usage.
Developed a computer vision-based dirt detection system using YOLOv8 (You Only Look Once v8) to identify and classify dirt patches on floor surfaces in real time. The model was trained to detect the presence of dirt and further classify it as wet or dry using labeled image datasets captured under diverse lighting and surface conditions.
Based on the classification output, the robotic vacuum cleaner dynamically adjusts its cleaning mode—activating scrubbing/wet mopping for wet dirt and suction mode for dry debris—optimizing cleaning efficiency and resource usage.