AI based Multifunctional Ultrasonic Sensing System

Classify 'Normal', 'Object', 'Fire' using CNN and RF model using Arduino and Ultrasonic Sensor

The “AI based Multifunctional Ultrasonic Sensing System” is a smart detection platform that leverages ultrasonic sensors integrated with machine learning algorithms. Designed to operate in complex and dynamic environments, the system is capable of distinguishing between normal states, object presence, and potential fire scenarios by analyzing variations in ultrasonic wave behavior.

Through preprocessing techniques such as the Kalman filter and the use of AI models including Random Forest and CNN, the system ensures accurate classification despite noise and environmental fluctuations.

Applications include fire detection in smart factories, object tracking in autonomous systems, and abnormal behavior recognition in safety-critical facilities.

The AI-enhanced ultrasonic sensor system offers a reliable, fast, and scalable solution for real-time monitoring across various industrial and smart infrastructure settings.