Smart Vehicle Number Recognition System using Digital Image Processing Technique

Ganesh, R Senthil; Sv, Varshith.; Sruthi, G.; Subasri, S.

doi:10.1109/icirca51532.2021.9544677

Cited by 1 publication

(1 citation statement)

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“…The device is carried out and simulated in MATLAB, and its overall performance is examined on actual photographs. It is discovered from the test that the advanced device efficiently detects and apprehends the car variety plate on actual images [6].…”

Section: Automatic Number Plate Recognition System For Vehicle Identi...mentioning

confidence: 99%

Electronic Control Unit Based Stolen Vehicle Tracking System

Vaibhavi,

Khanna,

Gupta

et al. 2022

J. Nano- Electron. Phys.

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Stolen vehicle tracking systems are becoming essential nowadays, mainly in the case of stolen automobiles. Vehicle burglary is a significant issue these days, and retrieving those stolen vehicles is another issue in addition. It has become increasingly difficult to solve this problem over a long period of time due to differences in car license plates, the destruction and confusion of some parts stolen. In light of these complexities, it is difficult to stop every vehicle and determine what method of managing work is required to reduce the effort and find the stolen vehicle. We propose to develop a framework that will upload the number of a stolen vehicle and be able to detect fraudulent vehicles with the assistance of the digital signature based ECU and will also be ready to send the coordinates of a fraudulent vehicle to the local department. To fight against theft, this technique can be a powerful tool. This will drastically reduce the danger of auto theft, saving car owners hundreds of dollars in insurance and other damages and will also help law enforcement. The interface is complemented with the help of other microcontrollers and a few modules. The key goal was to make this technology as simple as feasible, while keeping the cost as low as possible without compromising its reliability.

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Section: Automatic Number Plate Recognition System For Vehicle Identi...mentioning

confidence: 99%