Smart City Gnosys

Smart city article details

Title	Artificial Intelligence Techniques For The Recognition Of Multi-Plate Multi-Vehicle Tracking Systems: A Systematic Review
ID_Doc	10535
Authors	Kaur P.; Kumar Y.; Gupta S.
Year	2022
Published	Archives of Computational Methods in Engineering, 29, 7
DOI	http://dx.doi.org/10.1007/s11831-022-09753-4
Abstract	In recent years, the number of vehicles has been rising enormously, which has caused difficulties in detecting a vehicle and the person involved in any criminal activity or traffic violation. With the advent of Artificial Intelligence, the Automatic License Plate Recognition System has been used for quite some time. automatic licence plate recognition (ALPR) is a photosensitive identification system that identifies the license numbers after effective detection from an acquired image dataset. The ALPR system also plays a significant role in law enforcement and rendering services in smart cities. It is an automated system that can identify a vehicle by recognizing the characters of the license plate. This system is fundamental to traffic control and managing criminal activities, intelligent parking systems, and various applications. Also, it provides a brief outline of various license plate detection and recognition techniques reported by researchers in India and other countries. The comparative analysis also highlights the work done in the direction of automatic license plate recognition by the different researchers using various learning techniques and results obtained by using the detection rate, accuracy, and localization. This study follows an investigational approach to analyze the character recognition techniques used in ALPR systems; research challenges the researchers face. This paper contributes an extensive review of the existing scenario of ALPR systems. © 2022, The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE).
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
23085	0.911	Rohan Reddy B.; Swathi G.; Himesh E.; Southarrajan S.	Encompassing Yolov8 And Efficientnet B7 For Automatic License Plate Identification	Proceedings - 4th IEEE 2023 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023 (2023)
13756	0.903	Quang H.C.; Thanh T.D.; Van C.T.	Character Time-Series Matching For Robust License Plate Recognition	2022 International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2022 - Proceedings (2022)
11353	0.9	Tang J.; Wan L.; Schooling J.; Zhao P.; Chen J.; Wei S.	Automatic Number Plate Recognition (Anpr) In Smart Cities: A Systematic Review On Technological Advancements And Application Cases	Cities, 129 (2022)
12832	0.897	Ribeiro V.; Greati V.; Bezerra A.; Silvano G.; Silva I.; Endo P.T.; Lynn T.	Brazilian Mercosur License Plate Detection: A Deep Learning Approach Relying On Synthetic Imagery	Brazilian Symposium on Computing System Engineering, SBESC, 2019-November (2019)
39268	0.884	Saranya R.; Srimathi B.; Senthil Kumaran R.	No Parking Detection And Security System Using Vehicle Number Plate Recognition	3rd International Conference on Electronics and Sustainable Communication Systems, ICESC 2022 - Proceedings (2022)
11398	0.883	Thumthong W.; Meesad P.	Automatic Vehicle License Plate Detection From Security Cameras Using Deep Learning Techniques	5th Research, Invention, and Innovation Congress: Innovative Electricals and Electronics, RI2C 2024 - Proceedings (2024)
62123	0.882	Raza A.; Badidi E.; Badidi B.; Al Zahmi S.	Yolov5 For Automatic License Plate Recognition In Smart Cities	Lecture Notes in Networks and Systems, 768 LNNS (2023)
37912	0.882	dos Santos D.L.; Claro D.B.; Gondim J.	Monitoring Vehicle Plate Detection In Brazilian Universities	ACM International Conference Proceeding Series (2023)
49653	0.88	Spanu M.; Bertolusso M.; Bingol G.; Serreli L.; Castangia C.G.; Anedda M.; Fadda M.; Farina M.; Giusto D.D.	Smart Cities Mobility Monitoring Through Automatic License Plate Recognition And Vehicle Discrimination	IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2021-August (2021)
23965	0.878	Kanimozhi P.; Harshini S.; Ananth Kumar T.; Mary M.J.	Enhancing Smart City Security: Iot-Driven Anpr Technology For Identifying Smuggling Vehicles	IET Conference Proceedings, 2024, 37 (2024)