Automatic - Vehicle Validation System
EOI: 10.11242/viva-tech.01.05.001
Download Full Text here
Citation
Omkar Chikhale, Keyur Dattani, Mandar Koli,Mangesh Kini, "Automatic - Vehicle Validation System", VIVA-IJRI Volume 1, Issue 5, Article 80, pp. 1-4, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.
Abstract
Our project works on an AI processor to help humans by letting them know whether the vehicle is from the premises or not. When a vehicle enters the premises and stops at the entrance of the building, that time security guard instantly can confirm whether the vehicle is from outside or inside without going on the gate physically or seeing the vehicle. This unique system is what we require in India for buildings or industrial premises. RASPBERRY PI (1 GHz. Frequency) is there, it will take 100-200 mili-seconds to verify the vehicle number. No need to remember all vehicle no., it will store all the vehicle data in the database. One camera sensor will be connected to the raspberry pi to scan the number plate and give the data to the microprocessor to verify with the database. This is a technology that uses optical character recognition on images to read vehicle no. Data. Number-plate recognition can be used to store the images captured by the cameras as well as the text from the number plate.
Keywords
AI processor, Number-plate recognition, Raspberry PI, 1 GHz.
References
- “Hybrid Ecopower Hybrid Ventilator ”https://skylinegroup.co.in/ecopower.html Last Accessed on 5th March, 2020.
- "J. D. Brock, R. F. Bruce, and M. E. Cameron, “Changing the world with a Raspberry Pi,” J. Computer. Sci. Coll., vol. 29, no. 2, pp. 151 153, Dec. 2013.
- "D. H. Peter Membrey, Your First Bite of Raspberry Pi. Springer, pp. 1–30. 2013
- "Brain K. Jones, “Python Cookbook”, 2013.
- "Riedmaier, S.; Danquah, B.; Schick, B.; Diermeyer, F. Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification. Arch. Comput. Methods Eng. 2021, 28, 2655–2688.