Computer Vision Application in Automobile Error Detection

This paper describes the authentic AI application using the computer vision model in the automotive sector, to find out the error in the automobile by scanning the picture or dashboard and vehicle parts. Since the automobile has begun a complex system over the years and it became very difficult to know and understand each part of its function. So, this AI application would help automobile owners and users to find out the system errors when in case the automobile has gone bad and not functioning in the middle of the fleet. The automobile is a fascinating innovation of the last two centuries and more and more developments have been seen in this sector. The safety and performance increased so drastically by the introduction of processing the functions through electronics and software sensing and actuation, thereby the complexity of the vehicle been increased and self-diagnosis of errors and automobile service been the huge opportunity there and been addressing and lots of gaps still in the addressable area. This paper describes such gap-filling applications in the automobile service sector using AI applications.