Orthopedic implant identification is the most important step before performing any revision surgery. Automated identification of implants plays a huge role in preoperative planning. All the existing studies on automated identification of implants through artificial intelligence use X-ray images of implants as both training and testing data. The proposed novel and unique work identify the make and model of knee implants from 2D templates and their corresponding preprocessed images in contrast to the use of X-rays in training. The proposed work uses X-ray images of implants only for testing. The experimental approach with different deep learning models provides classification accuracy of 50.83% using raw templates and 55% using preprocessed images and proves to be a vital alternative to the use of X-rays as training data.