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In some place, such as in a mall, a vehicle parking lot can consist of several floors in the basement or at the top of a building. In addition, many sectors have also been turned into parking lots. In this situation, a flexible vehicle monitoring system is needed to detect the type of vehicle ownership through the base color on the license plate connected to the Raspberry Pi, which is expected to be able to mitigate this problem. This research develop a system that can recognize the type of vehicle based on the color of the plate number whether the vehicle is a private, public, or government vehicle. The data consists of images taken using a webcam through the acquisition of Raspberry Pi. The system was designed by using edge detection, morphology, the Hough Transform method to correct the edge, and Harris Corner to detect angles in the image, after which the plate cropping process is carried out. The license plate base color is TELKA: Jurnal Telekomunikasi, Elektronika, Komputasi, dan Kontrol  ISSN (e): 2540-9123 ISSN (p): 2502-1982 94 detected using the YCbCr color space, and the system will also measure the quality of the network between the Raspberry Pi and the laptop used during the detection process. The system gets the best results at 100% when detecting private vehicle license plates and the worst results at 70% when detecting public vehicle license plates. The average accuracy obtained in this system is 88,9% that used 90 test data. The average computation time is 0,99 seconds, which means that the detection process is quite fast.

Deteksi Plat Nomor Kendaraan dengan Hough Transform dan Harris Corner Menggunakan Akuisisi Melalui Raspberry Pi