中原大學電機工程學系
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104學年度
基於影像辨識技術之智慧雲端殘障車位警示通報系統
指導老師:邱謙松   組長:林依儒   組員:邱于珊
在本專題中,發展一套基於NoSQL與車牌辨識技術的智慧雲端殘障車位警示系統,當一個物體靠近時,超聲波感測器將會感應出物體的距離,當其靠近時就會開啟影像感測元件來拍攝照片,接著此照片會藉由Canny邊緣偵測來偵測車牌在影像之位置,擷取到車牌位置後我們將使用光學字元辨識來判別車牌號碼,在光學字元辨識中,我將使用大津演算法來分割字元,以及模板匹配來辨識出各個字元並搭配其他之影像處理、物件辨識與分類技術達成最後辨識結果,為了確定停靠車輛是否為殘障人士,車牌辨識所得到的結果將會與NoSQL型態之資料庫(MongoDB資料庫),進行比對,一旦判斷出非殘障車輛但停入殘障車位時,本系統不僅將會透過停車格上所嵌入之LED模組以燈號與一警示聲響提醒當前使用者,同時會將該判斷結果傳至交通違規檢舉系統,並請相關交通單位進行裁罰或拖吊,以有效減少殘障車位濫用情況。
In this project, an intelligent reporting system for Handicapped parking based on NoSQL and License Plate Recognition (LPR) is developed. An image sensing device will capture a photo while an ultrasonic sensor detects an object (cars, in this case). Next, the area of the license plate can be detected from the input image by using Canny Edge Detector. Optical Character Recognition (OCR) will then be applied to identify the numbers of the license plate by incorporating with Otsu’s thresholding method to separate individual numbers or alphabets and template matching to analyze the characters. To determine whether the car is disabled or not, the recognized number of the license plate will be distinguished by contrasting the numbers stored in NoSQL from cloud system. Flashing LEDs and alarm will go on to remind the owner to move the car if they are not disabled. The information of the car will also be sent to the police station in order to get the owner a ticket for punishment. The simulation example shows that the not disable parking can be successfully inhibited.

我們決定將壓電陶瓷晶片和鞋子做結合。
 
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