Enhancement of Safe Machine Cutting Tool Using Computer Vision

Metal cutting operations are essential in various manufacturing processes, but they pose significant safety risks to workers. This research project aims to enhance the safety and efficiency of metal cutting operations through the application of computer vision technology. An intelligent monitoring system will be developed, utilizing cameras and image processing algorithms to detect potential safety hazards in real-time. Through a detailed analysis of current metal-cutting practices, a set of safety measures and best practices will be proposed to reduce accidents and injuries. Personal safety equipment, safe work practices, and secure cutting instruments are some of these precautions. To foster a culture of safety, workers and supervisors will receive training on safe cutting practices and hazard identification. The ultimate goal is to promote safe and efficient metal cutting operations while minimizing the risk of accidents and injuries to workers. By leveraging computer vision technology, the project seeks to significantly enhance worker safety by detecting potential hazards in real-time and enabling immediate intervention and corrective action.