FPGA-BASED CAR PLATE RECOGNITION SYSTEM
| dc.contributor.author | Islam, Zhansaya | |
| dc.contributor.author | Bekzhanov, Aziz | |
| dc.contributor.author | Balkishev, Arsen | |
| dc.contributor.author | Kakimbek, Yeldar | |
| dc.date.accessioned | 2025-06-12T11:09:03Z | |
| dc.date.available | 2025-06-12T11:09:03Z | |
| dc.date.issued | 2025-04-25 | |
| dc.description.abstract | The project is a solution to the high cost and power consumption of GPU-based automatic license plate recognition systems, which are already installed in parking lots and entrance gates. This research addresses the following basic challenge: creating a computationally efficient LPR (License Plate Recognition) solution that possesses recognition precision similar to GPU-based systems, but operating within stringent cost and power constraints. | |
| dc.identifier.citation | Islam, Zhansaya et al. (2025). FPGA-based car plate recognition system. Nazarbayev University School of Engineering and Digital Sciences | |
| dc.identifier.uri | https://nur.nu.edu.kz/handle/123456789/8907 | |
| dc.language.iso | en | |
| dc.publisher | Nazarbayev University School of Engineering and Digital Sciences | |
| dc.rights | Attribution-NonCommercial 3.0 United States | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/us/ | |
| dc.subject | FPGA | |
| dc.subject | Car plate recognition | |
| dc.subject | LPR | |
| dc.subject | UART | |
| dc.subject | YOLO | |
| dc.subject | FNN | |
| dc.subject | OCR | |
| dc.subject | type of access: open access | |
| dc.title | FPGA-BASED CAR PLATE RECOGNITION SYSTEM | |
| dc.type | Bachelor's Capstone project |
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