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Object Detection and Self-Driving Bot Using Deep Learning

Object Detection and Self-Driving Bot Using Deep Learning

T S Preethivardhan1 Department of ECE,JNN college of engirnering , Sharanya Y S 2 Department of ECE , JNN college of engirnering , Sangam S S3 Department of ECE , JNN college of engirnering,

Darshan Gurunath Madival 4 Department of ECE , JNN college of engirnering, Prema K N5 Department of ECE , JNN college of engirnering

Abstract—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.