This research paper describes the development of the advanced mechanical parts using novel and nontraditional methods: the human gestures control system for the conveyor belt, which will enable the mechanical automation to a desired extent even at the expense of some flexible means of control The positioning system within the multiagency system working environment creates through OpenCV, a computer vision library, gestures repair It helps to control conveyor belts speed, direction and performance states of the belts This minimizes the contact with the devices thus reducing the chances of contamination control and enhances the safety of the plant. System architecture combines real-time video and algorithms for craft recognition with high reliability and machine learning. Tests performed on the system have shown its effectiveness over different sizes and positioning of the users supporting the system with features. Also, the design provides includes that are benefitted on the aspects of user and unwarranted downtime and enhanced productivity on the operation and using a transformational approach in operating equipment communication in several hands-on control systems. The users concentrate on the products, services will be enhanced, movement of machinery will to less waiting cycles. Hence, this should allow users to specify the intended functionality to ease innovation on basic premises smart controls offer that trace the complex cross sectors of unemployment.