Paper Contents
Abstract
In modern industrial environments, operating machinery through physical controls can sometimes reduce efficiency, increase response time, and expose workers to safety risks. With advancements in computer vision and sensor-based interaction, touch-free control systems are becoming a practical alternative. This project presents an Industrial Gesture Control System that enables users to operate machines or digital interfaces using predefined hand gestures instead of traditional manual controls. The system uses a camera or motion-sensing device to capture hand movements and processes them through a gesture recognition module. Recognized gestures are translated into control commands that can perform actions such as starting or stopping equipment, adjusting operational parameters, or navigating monitoring interfaces. By minimizing physical contact with machinery, the system improves workplace safety, reduces dependency on mechanical switches, and supports faster human–machine interaction. An administrative monitoring component is also integrated to observe system activity, track gesture-based commands, and ensure reliable performance. This helps maintain operational transparency and allows supervisors to monitor usage patterns in real time. The proposed system demonstrates how gesture-based interaction can enhance automation, safety, and efficiency in industrial settings by providing a more intuitive and contactless method of machine control. Keywords: Gesture Recognition, Industrial Automation, Human–Machine Interaction, Computer Vision, Touchless Control, Monitoring System, Smart Industry.
Copyright
Copyright © 2026 Anvesha Bareja, Aman Bhardwaj, Shadab Ali. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
