Zobrazeno 1 - 10
of 866
pro vyhledávání: '"plate detection"'
Autor:
Amany Sarhan, Rowyda Abdel-Rahem, Bassel Darwish, Arwa Abou-Attia, Ahmed Sneed, Shahd Hatem, Awatef Badran, Mohamed Ramadan
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-27 (2024)
Abstract This research presents an innovative approach to Egyptian car plate recognition using YOLOv8 and optical character recognition (OCR) technologies. Leveraging the powerful object detection capabilities of YOLOv8, the system efficiently detect
Externí odkaz:
https://doaj.org/article/5adf6ff8525043bb903b49e999400564
Autor:
Swati, Shubh Dinesh Kawa, Shubham Kamble, Darshit Desai, Pratik Himanshu Karelia, Pinalkumar Engineer
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 23, Iss 2 (2024)
Computer vision algorithm with the amalgamation of deep learning technologies has provided endless possible applications. Currently, with the high load of vehicle traffic it is very difficult to trace and capture vehicular information over traffic su
Externí odkaz:
https://doaj.org/article/e2d17b33c2754cfd866b7dd17727bdca
Publikováno v:
Journal of Informatics and Web Engineering, Vol 3, Iss 2, Pp 57-69 (2024)
With the ever-increasing number of vehicles on the road, a faster reliable security system for university entry is needed. This paper presents an approach for Automatic Number Plate Recognition (ANPR) using deep learning and PP-OCRv3. The proposed ap
Externí odkaz:
https://doaj.org/article/3647566f7dc84b27b988a9b139046d8e
Autor:
Janusz Godziek
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103992- (2024)
The availability of LiDAR data (including open-source data), combined with specialized algorithms, allows the use of these data to automatically detect landforms, vegetation and other objects. LiDAR point clouds have been frequently applied for the d
Externí odkaz:
https://doaj.org/article/6cc318fe76fb46f8b37c5ee581114203
Autor:
Twana Mustafa, Murat Karabatak
Publikováno v:
IEEE Access, Vol 12, Pp 107616-107630 (2024)
The advent of deep learning has revolutionized computer vision, enabling real-time analysis crucial for traffic management and vehicle identification. This research introduces a system combining vehicle make and model detection with Automatic Number
Externí odkaz:
https://doaj.org/article/c1f7125a512c4a88b822dd7f56a88f4b
Publikováno v:
IEEE Access, Vol 12, Pp 89035-89045 (2024)
The vehicle license plate detection plays a key role in Intelligent Transportation Systems. Detecting license plates, such as cars, trucks, and vans, is useful for law enforcement, surveillance, and toll booth operations. How to detect license plates
Externí odkaz:
https://doaj.org/article/ba43e46838dd4868a0395cd46af936d1
Publikováno v:
Computers, Vol 13, Iss 11, p 286 (2024)
Security has been paramount to many organizations for many years, with access control being one of the critical measures to ensure security. Among various approaches to access control, vehicle plate number recognition has received wide attention. How
Externí odkaz:
https://doaj.org/article/5fd7f64191e44e268fb72c55503cb28b
Autor:
Noor M. Hashem, Heba Kh. Abbas
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 36, Iss 1, Pp 130-138 (2023)
The study consists of video clips of all cars parked in the selected area. The studied camera height is1.5 m, and the video clips are 18video clips. Images are extracted from the video clip to be used for training data for the cascade method. Cascade
Externí odkaz:
https://doaj.org/article/a3ff168dd570470da2e6c693f08c2344
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Akademický článek
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