Results 11 to 20 of about 454 (169)
Edge-AI-Based Real-Time Automated License Plate Recognition System
Applied Sciences, 2022 The rapid development of urban intelligence has turned intelligent transport system (ITS) development into a primary goal of traffic management. Automated license plate recognition (ALPR) for moving vehicles is a core aspect of ITS.
Cheng-Jian Lin +2 more
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Journal of Applied Science and Engineering, 2021 Automatic License Plate Recognition (ALPR) systems have become popular application areas of the Internet of Things (IoT). A typical ALPR system always needs powerful processors such as Cortex-A7.
Shizhen Huang +5 more
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Automated License Plate Recognition: A Survey on Methods and Techniques
IEEE Access, 2021 With the explosive growth in the number of vehicles in use, automated license plate recognition (ALPR) systems are required for a wide range of tasks such as law enforcement, surveillance, and toll booth operations.
Jithmi Shashirangana +3 more
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Automatic license plate recognition on microprocessors and custom computing platforms: A review
IET Image Processing, 2021 Automatic license plate recognition (ALPR) is the process of extracting and recognizing character information within a localized license plate region. Typically, ALPR involves three steps; image capture, image procession and plate recognition.
Princewill Akpojotor Ph.D +3 more
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IEEE Access, 2021 Vehicle trajectory data are critical to urban active traffic management and simulation applications. Automatic license plate recognition (ALPR) data can provide partial vehicle trajectory information by matching the detected vehicle license plates ...
Xinyi Qi +3 more
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Improved Automatic License Plate Recognition in Jordan Based on Ceiling Analysis
Applied Sciences, 2021 The main challenge of automatic license plate recognition (ALPR) systems is that the overall performance is highly dependent upon the results of each component in the system’s pipeline.
Musa Al-Yaman +5 more
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IEEE Access, 2022 Automatic License Plate Recognition (ALPR) is one of the applications that hugely benefited from Convolutional Neural Network (CNN) processing which has become the mainstream processing method for complex data.
Yang Yang Lee +2 more
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Surveillance deputies: When ordinary people surveil for the state
Law &Society Review, Volume 57, Issue 4, Page 462-488, December 2023., 2023 Abstract The state has long relied on ordinary civilians to do surveillance work, but recent advances in networked technologies are expanding mechanisms for surveillance and social control. In this article, we analyze the phenomenon in which private individuals conduct surveillance on behalf of the state, often using private sector technologies to do ...
Sarah Brayne, Sarah Lageson, Karen Levy
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BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition
Array, 2022 The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth-largest population around the world, no significant progress can be tracked in the ...
Md. Saif Hassan Onim +6 more
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Multinational License Plate Recognition Using Generalized Character Sequence Detection
IEEE Access, 2020 Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific ...
Chris Henry +2 more
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