Object Detection and Self-Driving Bot Using Deep Learning

This paper presents the implementation of an au- tonomous self-driving bot integrated with deep learning for object detection, showcasing its potential in real-world scenarios. The system employs cutting-edge deep learning models such as YOLO (You Only Look Once) to perform real-time object recognition, enabling the bot to detect vehicles and obstacles with high precision. The proposed solution incorporates sensor fusion, com- bining camera inputs with data from ultrasonic sensors to ensure robust perception and environmental awareness.Experimental results demonstrate the system’s ability to detect objects with over 93 accuracy.