4 skills found
wuba / LPA DetectorOptimize and improve the Label propagation algorithm
gyupro / EasyKoreanLpDetectorI am sharing a Korean license plate recognition system. 깃헙에 어렵고 잘 안 되는 한국 번호판 인식기밖에 없어서 공개합니다.
cepdnaclk / E16 3yp Gas Level Indicator And Leakage DetectorLP gas tank users face various difficulties because of not having a precise way to find the remaining gas amount in the tank. To overcome those problems with some protection, we are introducing the gas level indicator and leakage detector. Gas Level Indicator and Leakage Detector is a system aimed at LP gas tank users and distributors, consisting of two main areas; a gas level indicator and a gas leakage detector. To indicate gas level, the device display and the mobile/web application will be updated in real-time, displaying the current existing gas percentage in the tank. For gas leakage detection, a buzzer will alarm the user about it while sending a notification to the mobile/web application.
picnkname / LP Detector The project objective was to design a technique to automatically detect and segment the License Plate of a vehicle and read the license plate. The application of the project would be monitoring the vehicles that enters and exists the university premises and keep a database of frequently arriving vehicles. The approach followed was to make use of the SURF (Speeded-Up Robust Features) to detect the key points in the image after applying a gamma correction (say ~0.3). With a hessian threshold of ~ 3000 - 5000, we can observe that most of the detected keypoints lie in the licesnse plate region. This observation was exploited and with the use of a modified K-means clustering algorithm the license plate can be segmented. Then the segmented license plate was converted to a binary image and the resulted image was fed in to a Neural Network which was trained to recognize the numbers and characters of the license plate. MATLAB and OpenCV library in Python was used as the coding platforms for the project. For the hardware implementation raspberry pi and picamera module was used. Status : Hardware Implementation would be completed soon. Type : Optional Research Project Resources : Would be available here after the completion of the hardware implementation.
