{"title":"Sistem Pemantauan Slot Parkir Menggunakan Sensor Ultrasonik JSN-SR04T dan Pengenalan Plat Nomor Kendaraan dengan ESP32-CAM","authors":"Khairina Auliya, Meqorry Yusfi, Rahmat Rasyid","doi":"10.25077/jfu.12.4.534-540.2023","DOIUrl":null,"url":null,"abstract":"A parking slot monitoring system prototype has been produced using the JSN-SR04T ultrasonic sensor and vehicle license plate recognition with ESP32-CAM. The system was created to make it easier for motorists to monitor the availability of parking slots remotely by utilizing Telegram which is connected to the ESP32-CAM module and Arduino Mega 2560. The ultrasonic sensor detects the distance of vehicles entering or exiting the parking lot, then a servo motor opens the entry and exit bars. Vehicle users can monitor the availability of parking slots on the Telegram bot. In each slot there is an ultrasonic sensor that detects the distance so that it can find out whether there is a vehicle in the slot. The test results show that the ultrasonic sensor has an average error percentage of 0.65%. The parking barrier can be opened when the ultrasonic sensor detects the presence of a vehicle at the entrance or exit and the ultrasonic sensor can detect the presence of a vehicle according to the conditions in the slot. The system is equipped with vehicle license plate character recognition using the Optical Character Recognition (OCR) method. Through the ESP32-CAM module camera webserver, the OCR program can detect vehicle plates with the furthest distance of 140 cm using video resolution (400x296) and 300 cm using video resolution (1600x1200). The OCR program can read the vehicle plate characters correctly and the results for the number of characters obtained correspond to the license plate being tested, then the vehicle plate data is stored in the database","PeriodicalId":497807,"journal":{"name":"Jurnal Fisika Unand","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Fisika Unand","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25077/jfu.12.4.534-540.2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A parking slot monitoring system prototype has been produced using the JSN-SR04T ultrasonic sensor and vehicle license plate recognition with ESP32-CAM. The system was created to make it easier for motorists to monitor the availability of parking slots remotely by utilizing Telegram which is connected to the ESP32-CAM module and Arduino Mega 2560. The ultrasonic sensor detects the distance of vehicles entering or exiting the parking lot, then a servo motor opens the entry and exit bars. Vehicle users can monitor the availability of parking slots on the Telegram bot. In each slot there is an ultrasonic sensor that detects the distance so that it can find out whether there is a vehicle in the slot. The test results show that the ultrasonic sensor has an average error percentage of 0.65%. The parking barrier can be opened when the ultrasonic sensor detects the presence of a vehicle at the entrance or exit and the ultrasonic sensor can detect the presence of a vehicle according to the conditions in the slot. The system is equipped with vehicle license plate character recognition using the Optical Character Recognition (OCR) method. Through the ESP32-CAM module camera webserver, the OCR program can detect vehicle plates with the furthest distance of 140 cm using video resolution (400x296) and 300 cm using video resolution (1600x1200). The OCR program can read the vehicle plate characters correctly and the results for the number of characters obtained correspond to the license plate being tested, then the vehicle plate data is stored in the database
使用JSN-SR04T超声波传感器和ESP32-CAM车辆车牌识别的停车位监控系统原型已经生产出来。该系统的创建是为了使驾驶者更容易通过使用连接到ESP32-CAM模块和Arduino Mega 2560的Telegram远程监控停车位的可用性。超声波传感器检测车辆进出停车场的距离,然后伺服电机打开进出栏。车辆用户可以通过Telegram机器人监控停车位的可用性。在每个槽中都有一个超声波传感器,它可以检测距离,以便发现槽中是否有车辆。测试结果表明,超声波传感器的平均误差率为0.65%。当超声波传感器检测到入口或出口有车辆存在时,超声波传感器可以根据槽内的情况检测到有车辆存在时,即可打开停车屏障。该系统采用光学字符识别(OCR)方法进行车牌字符识别。通过ESP32-CAM模块摄像头网络服务器,OCR程序可以通过视频分辨率(400x296)检测到最远距离140cm的车牌,通过视频分辨率(1600x1200)检测到最远距离300cm的车牌。OCR程序可以正确读取车牌字符,得到的字符数与待测车牌相对应,然后将车牌数据存储在数据库中