SELF-DRIVING CAR USING CONVOLUTIONAL NEURAL NETWORK ESP32 DEVKIT

SELF-DRIVING CAR USING CONVOLUTIONAL NEURAL NETWORK ESP32 DEVKIT

1Mrs. S Visalini Asst.Professor,ISE Dept ,The Oxford College of Engineering

2Aman Singh, 3Anuj Khandelwal, 4Christo Roy, 5Mohammed Tanzil Touqeer

BE. Students, Department of Information Science and Engineering, The Oxford College of Engineering, Karnataka,India

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Abstract- Self-driving cars are cars that do not need human assistance to drive from one place to another. With the development of artificial intelligence, it worked as a catalyst in the field of technology. Using this technology, we can now develop self-driving cars. One such creation is the birth of self-driving cars. Adding assistive information technology to vehicles, such as the use of cameras and stability control systems, improves passenger safety. This project proposes a car model that can drive from one place to another . It uses the camera to take pictures of real things later, sends them to a convolutional neural network through the ESP32 DEVKI, and the Arduino decides any direction to drive the car and reach its destination..

Keywords: Airtificial intellegency,Machine learning ESP DEVKIT,L2981,Ultra Sonic Sensors ,image processing, convolutional neural network, arduino IDE.