Utilization of IoT and Image Processing to Create a Smart Vehicle Registry
DOI:
https://doi.org/10.46243/jst.2021.v6.i06.pp31-4Keywords:
RFID, MFRC522, OCR, Arduino, Jumpers, BreadBoard, ServomotorAbstract
Abstract:Everything is being automated in the contemporary technological age because of many technologies. An automated Smart Vehicle Registry with zero human intervention is constantly needed. With the help of a single automated system, RFID (Radio Frequency Identification) and Image Processing, a vehicle and its driver may be registered as they enter a designated zone. Various efforts in the fields of RFID and image processing are reviewed in this article. The proposed system consists of an RFID system that can be used to scan the person driving the vehicle, and Image processing system that includes a camera and an open-source library to scan and record the vehicle registration plate number, and a front end that manages the input and output flow of the system. The system described in this work is designed such that analysis of the output data may be conducted quickly and simply. Additionally, this article analyses the numerous results and future tasks that may be done to enhance the system in detail.
References
Orji,Everistus&Cv,Oleka&Ui,Nduanya.(2018).AutomaticAccessControlSystemusingArduinoandRFID.TheJournalofScientificandEngineeringResearch. 05.333-340
X. Wang and Y. Wang, "An office intelligent access control systembased on RFID," 2018 Chinese Control And Decision Conference(CCDC),Shenyang,2018,pp.623-626
Lin, Y. Lin and W. Liu, "An efficient license plate recognition systemusingconvolutionneuralnetworks,"2018IEEEInternationalConference on Applied System Invention (ICASI), Chiba, 2018, pp.224-227
Xie, Fei& Zhang, Ming & Zhao, Jing & Liu, Yijian& Yuan, Xinyue.(2018). A Robust License Plate Detection and Character RecognitionAlgorithmBasedonaCombinedFeatureExtractionModelandBPNN.JournalofAdvancedTransportation.2018.1-14.10.1155/2018/6737314
https://lastminuteengineers.com/how-rfid-works-rc522-arduino-tutorial/
https://en.wikipedia.org/wiki/Arduino_Uno
https://circuitdigest.com/article/servo-motor-basics
J. Yan, S. Lin, S. B. Kang and X. Tang, "Learning the Change forAutomatic Image Cropping," 2013 IEEE Conference on ComputerVisionandPatternRecognition,Portland,OR,2013,pp.971-978
Dalarmelina,Nicole&Teixeira,Marcio&Meneguette,Rodolfo.(2019). A Real-Time Automatic Plate Recognition System Based onOptical Character Recognition and Wireless Sensor Networks for ITS.Sensors(Basel,Switzerland).20.10.3390/s20010055
Chandran,Saravanan.(2010).ColourImagetoGrayscaleImageConversion. 196- 199.10.1109/ICCEA.2010.192
Dalarmelina,Nicole&Teixeira,Marcio&Meneguette,Rodolfo.(2019). A Real-Time Automatic Plate Recognition System Based onOptical Character Recognition and Wireless Sensor Networks for ITS.Sensors(Basel,Switzerland).20.10.3390/s20010055
https://en.wikipedia.org/wiki/Median_filter
Zhu, Youlian& Huang, Cheng. (2012). An Improved Median FilteringAlgorithm for Image Noise Reduction. Physics Procedia. 25. 609- 616.10.1016/j.phpro.2012.03.133
https://en.wikipedia.org/wiki/Canny_edge_detector
Li J., Ding S. (2011) A Research on Improved Canny Edge DetectionAlgorithm.In:ZhangJ.(eds)AppliedInformaticsandCommunication.ICAIC2011.CommunicationsinComputerandInformationScience, vol228. Springer, Berlin, Heidelberg
Mousa, Allam. (2012). Canny Edge-Detection Based Vehicle PlateRecognition. Pattern Recognitionand ImageAnalysis.5. 1-7
https://en.wikipedia.org/wiki/Automatic_number-plate_recognition
R.Smith,"AnOverviewoftheTesseractOCREngine,"NinthInternationalConferenceonDocumentAnalysisandRecognition(ICDAR2007),Parana,2007,pp.6 29-633. 19.https://randomnerdtutorials.com/security-access-using-mfrc522-rfid-reader-with-arduino/
