Advances in Object Detection Using CAX and Artificial Intelligence

Object detection is a computer processing technique that uses AI to detect specific objects in digital images and videos. Techniques for the detection and recognition of objects have experienced continuous development over recent years, as their application and benefits are so very obvious. Whether they are involved in driving cars, environmental surveillance and security, assistive living for people with different disabilities, advanced robotic surgery, recognition of any types of objects (traffic signs, cars, people, fruits and vegetables, any kind of specific components, etc.). These techniques have become indispensable in research, development, and supervising the environment and such specific products. This paper proposes innovative methods for object recognition using advanced CAD tools (CAX), when the personalized database contains not images of objects, but CAD models of them, including evaluating the positioning of target objects in 3D space, obtaining position information based on advanced labeling information stored in the database, and assessing distances with these tools.