Due Diligence for Theft and Control of Tractions in Mines

These days’ security system for a vehicle is mandatory preferably in mines because to avoid unauthorized operation of traction vehicles and automobiles which is available because it is essential. When the burglar steals the vehicle, locating of the lost vehicle is not possible and identifying the thief is also not easy. So, in this article by introducing a security system which can locate and identify the thief by proposing face recognition technique for an auto safety system is used to recognize the true motivation face and compare it to a predefined face using face detection and identification technique. The suggested vehicle safety system performs real-time user authentication with computational assistance. Once the image from the activated camera becomes available, the person's face is recognized using the HAAR cascade method, and the extracted face is compared to the trained image. If someone's visage is recognized as an unknown individual this integrated. The system will send a picture of the individual to the driver via email utilizing the Internet Message Access connection and also, the mechanism remains lock by using electromechanical relay.

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Publication Details

Journal
Journal of Mines Metals and Fuels
Published
2024-12-20
DOI
https://doi.org/10.18311/jmmf/2023/47245
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.00
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article

Due Diligence for Theft and Control of Tractions in Mines

Pathmanathan Rajeev, Vigneashwara Pandiyan, M. Seenivasan, Anand Archana
Journal of Mines Metals and Fuels
Mineral Processing and Grinding
article

Due Diligence for Theft and Control of Tractions in Mines

Pathmanathan Rajeev, Vigneashwara Pandiyan, M. Seenivasan, Anand Archana
article en

Abstract

These days’ security system for a vehicle is mandatory preferably in mines because to avoid unauthorized operation of traction vehicles and automobiles which is available because it is essential. When the burglar steals the vehicle, locating of the lost vehicle is not possible and identifying the thief is also not easy. So, in this article by introducing a security system which can locate and identify the thief by proposing face recognition technique for an auto safety system is used to recognize the true motivation face and compare it to a predefined face using face detection and identification technique. The suggested vehicle safety system performs real-time user authentication with computational assistance. Once the image from the activated camera becomes available, the person's face is recognized using the HAAR cascade method, and the extracted face is compared to the trained image. If someone's visage is recognized as an unknown individual this integrated. The system will send a picture of the individual to the driver via email utilizing the Internet Message Access connection and also, the mechanism remains lock by using electromechanical relay.

Journal of Mines Metals and Fuels
Dravidian University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 74%
Mineral Processing and Grinding
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