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AI-Based Carthage Administration Towards Smart City

AI-Based Carthage Administration Towards Smart City

C. V. Suresh Babu, S. Abirami, Sharon Manoj
Copyright: © 2023 |Pages: 17
ISBN13: 9781668486023|ISBN10: 1668486024|ISBN13 Softcover: 9781668486061|EISBN13: 9781668486030
DOI: 10.4018/978-1-6684-8602-3.ch001
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MLA

Babu, C. V. Suresh, et al. "AI-Based Carthage Administration Towards Smart City." Investigations in Pattern Recognition and Computer Vision for Industry 4.0, edited by Chiranji Lal Chowdhary, et al., IGI Global, 2023, pp. 1-17. https://doi.org/10.4018/978-1-6684-8602-3.ch001

APA

Babu, C. V., Abirami, S., & Manoj, S. (2023). AI-Based Carthage Administration Towards Smart City. In C. Chowdhary, B. Swain, & V. Kumar (Eds.), Investigations in Pattern Recognition and Computer Vision for Industry 4.0 (pp. 1-17). IGI Global. https://doi.org/10.4018/978-1-6684-8602-3.ch001

Chicago

Babu, C. V. Suresh, S. Abirami, and Sharon Manoj. "AI-Based Carthage Administration Towards Smart City." In Investigations in Pattern Recognition and Computer Vision for Industry 4.0, edited by Chiranji Lal Chowdhary, Basanta Kumar Swain, and Vijay Kumar, 1-17. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8602-3.ch001

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Abstract

The main objective of this proposed project is to manage the movement of people and goods efficiently. This traffic management system is based on AI and deep learning, which works with a traffic signal controller, vehicle classifier, and fine system. In this project, the programmable peripheral interface's buffer and ports are used to connect the traffic lights to the microprocessor system. As a result, the traffic lights can be turned ON or OFF automatically. The Interface Board was created to operate with the parallel port of the microprocessor system. A vehicle classifier is a vision-based vehicle classifier that uses machine learning algorithms to recognize vehicles and trucks in video pictures. Drivers and owners of motor vehicles who disobey traffic laws are subject to a fine system. When a traffic challenge is issued, it suggests that the recipient is liable to pay a fine that varies in amount according to the specific type of traffic infringement that was observed.

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