Facial Recognition and Tracking Project with mechArm - Hackster.io

As mentioned earlier, the computing power of the Raspberry Pi is insufficient, using other control boards, such as Jetson Nano (600MHZ) or high-performance image processing computers, would run smoother. Also, in the movement control module, because we did not do hand-eye calibration, only relative displacement can be used. The control is divided into "sampling stage" and "movement stage". Currently, it is preferable to require the lens to be stationary during sampling, but it is difficult to ensure that the lens is stationary, resulting in deviation in the coordinates when the lens is also moving during sampling. Finally, I would like to specially thank Elephant Robotics for their help during the development of the project, which made it possible to complete it. The MechArm used in this project is a centrally symmetrical structured robotic arm with limitations in its joint movement. If the program is applied to a more flexible myCobot, the situation may be different. If you have any questions about the project, please leave me a message below.