Application of target recognition in intelligent toll collection on highways

Feng Wang; Xin Yang; Jing Deng; Fen Lv; Lingfang Zhu; Yanan Yu

doi:10.1117/12.3052929

11 December 2024 Application of target recognition in intelligent toll collection on highways

Feng Wang, Xin Yang, Jing Deng, Fen Lv, Lingfang Zhu, Yanan Yu

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134452Z (2024) https://doi.org/10.1117/12.3052929
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

The transportation industry is accelerating its digital and intelligent transformation, and many regions continuously exploring the “smart” upgrade and transformation of toll stations. The application of target recognition technology in highway toll collection systems can effectively improve toll collection efficiency and accuracy. In view of the characteristics of monocular vision in existing recognition methods, this paper proposes a target recognition method for highway toll collection based on stereo vision, aiming to improve the accuracy and robustness of target recognition. Test results show that the designed method can achieve the recognition of human hand and high-speed ETC card or ETC payment code. Not only with high accuracy in target recognition, but also with good robustness, without the problem of a significant decrease in target recognition accuracy with an increase in the number of background target objects.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feng Wang, Xin Yang, Jing Deng, Fen Lv, Lingfang Zhu, and Yanan Yu "Application of target recognition in intelligent toll collection on highways", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134452Z (11 December 2024); https://doi.org/10.1117/12.3052929

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