DC Brushless Motor with Digitalized Potentiometer Control

A 2kW DC brushless motor uses a digital potentiometer for its cruise mode (Speed control). This project aims to integrate the digital potentiometer with vision control. The motor can thus be controlled using computer vision, realised using AI, through the use of deep learning (Neural Networks) on Single Board Computers. The motors can be control by Computer Vision remotely, for example, via wireless connection. A mini electric vehicle can be built to house the 2kW motor.

SUPERVISOR:

Kenny Chiang

TEAM MEMBERS:

Yim Zheng Rong | Yew Zi Hon | Siti Hajar Binte Kamal | Muhammad Danish Aiman Bin Musa

DIPLOMA:

Diploma in Mechatronics & Robotics