A Visual Feedback GA-PID Controller for a Telepointer System

Telepointer is an important component in real-time distributed collaborative systems. Telepointer technology is widely used in telemedicine applications to monitor patients from afar and improve communication between experts. A telepointer system works by sending additional information in the form of gesture that can convey more accurate information. It leads to more effective communication, precise diagnosis, and better decision. However, laser pointer controller requires responses from variable laser coordinate based on input from client in real-time and high accuracy. In this study, a test was carried out by collecting coordinate data to plan a model and optimize a PID controller on telepointer system. The objectives of this study is to designing the mathematical model using system identification method and developing the PID controller of the telepointer system based on Genetic Algorithm (GA) Optimization Method. A few coordinate data were taken to plan a model system and get the accuracy model by using Identification (IDENT), whereby the model produce is to tune the controller system. The best parameters gain of controller is tested on telepointer system to see the performance. Based on the results, the telepointer system produced faster move and high accuracy when the laser pointing on certain coordinates. Telepointer system has four main components, namely laser, hand, cursor and sketching pointer. It can be seen that telepointer technology has huge potential in real life applications.