Detecting Vehicle Numbers Using Google Lens-Based ESP32CAM to Read Number Characters

Tukino Paryono, Ahmad Fauzi, Rizki Aulia Nanda, Saepul Aripiyanto, Muhammad Khaerudin
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Abstract

plates continues to increase. This research aimed to detect vehicle license plates using ESP32CAM and utilize photo text reading using Google Lens, which can be used online to retrieve numeric characters. The method approach was to connect Wifi connectivity to the ESP32CAM, which had been programmed to detect vehicle plates. Vehicle plates that have been detected and recognized were inputted into Google Lens to capture the resulting text from the ESP32CAM camera recording. The results of this study were that for 70 seconds, ten plate samples were obtained, which were 100% perfect in reading license plates on Google Lens, namely six plates and two plates read 90%, one plate read 60%, and one plate read 0%. The research conclusions obtained were ten samples, six samples with perfect readings, and one error sample because of the white plate color. Thus, the main objective was to obtain the results of the vehicle plate detection and retrieve the text from the recording results
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检测车辆号码使用谷歌镜头为基础的ESP32CAM读取数字字符
板块继续增加。本研究旨在利用ESP32CAM检测车牌,并利用谷歌Lens进行照片文本读取,谷歌Lens可用于在线检索数字字符。方法是将Wifi连接到ESP32CAM, ESP32CAM已被编程为检测车牌。将已检测和识别的车牌输入谷歌Lens,以捕获ESP32CAM摄像机记录的结果文本。本研究的结果是,在70秒内获得10个车牌样本,在谷歌Lens上读取车牌100%完美,即6个车牌和2个车牌读取90%,1个车牌读取60%,1个车牌读取0%。得到的研究结论是10个样本,6个样本读数完美,1个样本因为白色的盘子颜色而出错。因此,主要目标是获取车牌检测结果,并从记录结果中检索文本
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