Wi-Fi Enabled Speech Automated Guided Vehicle using Android and NodeMCU

Given the high mortalities on our roads its imperative that a solution be implemented to mitigate this issue. Although, different conventional methods of providing safety for vehicle operators are in place, there are needs for further improvements. This paper implements an automated guided vehicle that uses NodeMCU as the central intelligence of the system, with the use of ultrasonic sensor for the detection and avoidance of obstacles. It uses voice commands from an Android smartphone using Wi-Fi communication. Experimental studies were conducted to investigates the response of vehicle to the given voice instruction for different directional movement, and obstacle detection with the avoidance of collision. The study achieved very promising results with accuracy, sensitivity and precision rates of 100% for directional movement, with sensitivity and accuracy rates of 70%, and 85% for obstacle detection in the right direction and sensitivity and accuracy rates of 80%, and 90% for obstacle detection in the left direction with the precision rates of 100% at both left and right directions.