Improved Computer Vision-based Framework for Electronic Toll Collection

Title

Improved Computer Vision-based Framework for Electronic Toll Collection

Creator

Mathews M.S.; Prabu M.; Pitchai A.; Roberts D.B.; Rahul G.

Description

The world is moving towards artificial intelligence and automation because time is the most crucial asset in today's scenario. This paper proposes an automatic vehicle fingerprinting system that avoids long waiting times in toll plazas with the help of computer vision. The number plate recognition and vehicle re-identification focus on this research. Day/night IR cameras are used to get the images of the vehicle and its number plate. The VeRi776 datum, which contains real-world vehicle images, is used to facilitate the research of vehicle re-identification. The proposed framework employs Siamese model architecture to identify the attributes such as color, model, and type of vehicle. The Car License Plate Detection datum is used to evaluate the efficiency of the proposed license plate recognition system. An ensemble of image localization techniques using CNNs and application of the OCR model on the localized snapshot is used to recognize the vehicle's license plate. A combination of license plate recognition and vehicle re-identification techniques is used in the proposed framework to improve the efficiency of identifying vehicles in toll plazas 2022 IEEE.

Source

Proceedings of the Confluence 2022 - 12th International Conference on Cloud Computing, Data Science and Engineering, pp. 213-216.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Automatic Toll Ticketing; License Plate Recognition; Siamese Network Architecture; Toll Plaza; Vehicle Fingerprinting; Vehicle Re-identification

Coverage

Mathews M.S., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Prabu M., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Pitchai A., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Roberts D.B., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Rahul G., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India

Rights

Restricted Access

Relation

ISBN: 978-166543701-1

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/Confluence52989.2022.9734219

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