A.I Enhanced Ultrasonic Radar

Abstract

The combination of AI and a standard ultrasonic radar system improve object detection accuracy and supports better decision-making in autonomous and robotic applications. The proposed AI-Enhanced Ultrasonic Radar uses an ultrasonic sensor to measure distance and detect obstacles. An intelligent algorithm classifies the detected objects based on distance patterns and signal behaviour. The system runs on an Arduino Uno, servo motors, and a real-time processing module that converts echoes into digital data for distance. A trained machine learning model analyses this data to predict object characteristics, increasing efficiency and reducing false detections. The prototype can visualize the surrounding objects through radar mapping and can be used in advanced automation and safety systems. Experimental results show that using AI techniques greatly enhances the precision and reliability of a standard ultrasonic radar system.