Study of An AI-Powered Vehicle Monitoring System: An Ensembled Approach for Intelligent Surveillance

Study of An AI-Powered Vehicle Monitoring System: An Ensembled Approach for Intelligent Surveillance

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2024 by IJRES Journal
Volume-11 Issue-2
Year of Publication : 2024
Authors : V. K. Muneer, A. Azil
DOI : 10.14445/23497157/IJRES-V11I2P107

How to Cite?

V. K. Muneer, A. Azil, "Study of An AI-Powered Vehicle Monitoring System: An Ensembled Approach for Intelligent Surveillance," International Journal of Recent Engineering Science, vol. 11, no. 2, pp. 51-59, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I2P107

Abstract
This paper presents an AI-powered vehicle Monitoring System using EasyOCR, OpenCV, and HaarCascade algorithms. The project is the detection of the license plate of a vehicle entering a gate and saving the date, time, and license plate number in a database to enhance the security of the institution. The system is good at detecting vehicle license plates in real-time. EasyOCR is used for reading license plates and we used it to help the system track vehicles better. OpenCV provides computer vision capabilities to process images and helps in real-time detection. We used the HaarCascade machine learning object detection method to identify objects in images to detect license plates of vehicles. Also provides a simple and attractive graphical user interface for users to access vehicle information. This system can be applicable in institutions, hospitals, and factories. This will be helpfull to others who are into making vehicle detection systems.

Keywords
EasyOCR, HaarCascade, Vehicle monitoring, Computer vision.

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