Safety is the number one priority for all Eaton-Bussmann employees. The Eaton electrical test
facility runs high voltages and currents through Circuit Protectors, Fuses, and other electrical
equipment. These devices are often tested beyond their limits and explode. The test crew must be in the test chamber while the equipment is being tested. Only qualified personnel with the proper safety equipment and shielding are allowed in a live test chamber. We propose implementing a Facial Recognition and equipment identification system to ensure proper access to the test chamber and the safety of the test crew. We will use a neural network to accurately identify employees and will test different computational imaging techniques to correctly identify that the test crew is wearing the proper grade of equipment and shielding before they enter the test chamber. This project is the first of several phases to improve the safety conditions of the test crew at the Eaton test facility.