TSS THREAT SECURITY SOFTWARE /SPECIALIST

Hand pose detection is the system of recognizing , where the joint of the hand is detected which is used to communicate the machine with the outside environment. As with industrial machinery, most accidents caused due to human error. In order to avoid this accident, the human posture can be used to detect a human error in the industrial area, and when the human limbs enter the operation area, the machine can stop, thus preventing the accident. This can be implemented with the use of Tensor Flow, Media Pipe, and OpenCV. This Project focuses on the hand pose detection model used to prevent accidents at work. The media pipeline hand gesture recognition model has the highest accuracy for recognition with OpenCV. The media pipeline recognizes 21 different locations on the palm that accurately detect the presence of the hand in the environment.