Obstacle Detection for Moving Objects using Vision and Ultrasonic Sensor

Abstract

"Obstacle detection for moving object using vrsion and ultrasonic sensor" is a difficult optimization problem with multiple constraints. There is extensive research in the literature solving the problem using neural network and deep learning approach .We have designed an XML file in which a grammar is being designed for command. We have deployed our project code in lOT server and that through internet. The hardware of our project includes raspberry pi 3 model B, Speed controller. The raspberry pi is giving input to the camera and the sonar device. A power bank is being utilized to give input to the raspberry pi. In past no other project has been made similar to our project because we used lOT and it is cloud based. The project falls under the broader umbrel(a of driver assistance systems. The idea of detecting the obstacles using ultrasonic sensor and camera will be demonstrated through a remote controlled car. However, since the solution is intended to be provided in the form of an obstacle detection board, the implemented system can be mounted on real vehicles allowing detection of other vehicles and obstacles and alerting the drivers to avoid collisions.