Web applications are very popular today and many fields of knowledge have been benefited, however, still there are many study fields which there are not helpful tools. In this research, we propose the implementation of a collaborating tool for identifying dental implants in X-Ray images, due the identification of dental implant images is a tedious intensive manual task. Our proposal is based on computer vision techniques such as features detection, description and matching. The query image can be obtained from X-Ray image data using an ordinary camera, like the ones found on a mobile phone. Then we extract features on the image in order to aid in the search for the best matches in the catalogue. The digital catalogue has a few hundred images of dental implants, and finding the best match takes a few seconds. The application has a high success rate and is helpful for dentists, returning the three best candidates, therefore reducing the work of a Dentist from analyzing hundreds of image to just a few.