A Unified Framework of Intelligent Vehicle Damage Assessment based on Computer Vision Technology
Xianglei Zhu, Sen Liu, Peng Zhang, Yihai Duan · 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) · 2019
Due to the development of deep learning, in recent years, the field of computer vision grows rapidly. A large amount of computer vision technologies have been applied in actual problems. At present, the industry of vehicle damage assessment requires a lot of manpower, and new automatic intelligent damage assessment technology can greatly reduce industrial costs. In this paper, a framework of intelligent vehicle damage assessment algorithm based on object detection technology and image classification technology is proposed. This algorithm can automatically identify the damage position, type and degree according to photos provided by users, so as to offer appropriate maintenance price and reach the accuracy that can meet actual application requirements.