e-Parking System in Corporate Parking Systems by Implementing Optical Character Recognition
Pages 332 - 338
Abstract
The COVID-19 pandemic has made the society to do mandatory health and safety protocols. The drivers are also required to take part in these protocols to minimize the virus spread. The automated parking systems can help to minimize the direct human contact in the processes of parking transactions. Optical Character Recognition can be used to create an automated parking system in corporations and offices. Automated parking system is a technology which allows the drivers to have a faster and more efficient process in parking. This is useful for offices as this is where the virus has a high rate of infections among the employees. Tesseract and OpenCV are used to implement these Optical Character Recognition systems. By using Tesseract and OpenCV, the algorithm is able to achieve the rate of accuracy of 73.75%, precision of 82.54%, recall of 83.87%, and the F1 score of 83.2%. The usage of Optical Character Recognition is able to increase the general security and improve the safety protocol for touchless systems. The implementations of these can also achieve efficiency and to decrease the complicated usage of physical parking receipts in the parking systems.
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Published In
September 2021
354 pages
ISBN:9781450384070
DOI:10.1145/3479645
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Published: 03 November 2021
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SIET '21
SIET '21: 6th International Conference on Sustainable Information Engineering and Technology 2021
September 13 - 14, 2021
Malang, Indonesia
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Overall Acceptance Rate 45 of 57 submissions, 79%
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