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Research Paper | Computer Science & Engineering | India | Volume 11 Issue 12, December 2022

Registration Plate Detection from Vehicle

Shrii Sudhan K | Ram Kumar M

Abstract: Mining operations are generally spread over a vast area in remote locations and harsh environments. Coal extraction is a high - cost and increasingly high - technology venture that requires the utmost operational efficiency as well as uninterrupted workflow and delivery cycles. Operations cannot afford to be impacted due to a lack of visibility regarding the location and status of machinery, equipment, and vehicles. This causes delays, increased cost, and mounting losses and is also an open invitation to theft and misuse. Real - time location tracking and monitoring, especially of moveable assets such as the vehicle fleet transporting the coal, is thus of critical importance to the mining industry. Tracking pickups and deliveries of thousands of truck - loads moving daily to and from various locations inside mining areas to processing plants, rail wagons or jetties is a logistics nightmare.

Keywords: Machine learning, number plate detection, OpenCV

Edition: Volume 11 Issue 12, December 2022,

Pages: 972 - 977