Image Processing Based Alarm System for Rod Cutters to Prevent Finger Cutting using CNN

In a lot of metal fabrication units, the cutting of metal rods happens by manually operated electric cutter. A lot of finger cutting accident occurs in such units. In
this project, a camera module integrated with an embedded system that can actuate an alarm when the camera detects a person’s finger placed in the path of the
blade is implemented. The automaton of the above system is a CNN image processing model trained by images of hands placed in the cutting unit. Once the finger
in the path of the cutting is identified by the camera module, the alarm is raised by a sound buzzer triggered by the embedded module.