Resident’s vehicles in some institutions have to be registered to maintain traffic safety. Penalties should be imposed if residents break traffic rules. Most of the time, the vehicle owner’s information is difficult to access making the penalty registration process complicated. An effective penalty registration process is required to make the process easier for security officers to give notice to the residents who have committed traffic offenses. A mobile application is proposed to recognize vehicle owner information. The proposed application uses optical-character-recognition (OCR) technologies that can facilitate the process of recognizing vehicle’s registration number in order to obtain owner information and use the information to enrol the penalty. The proposed application recognizes the vehicle registration number or sticker serial number to access the owner information. For evaluation of the proposed application, a user study was conducted by asking the users to use the application and answer the questiuonnaire. The findings revealed that average score of 77 of the respondents agree in terms of satisfaction and adoption of the application to be utilized in some institutions. The proposed application reduces the paper work of security officers and makes them more efficient.
Kertas kerja ini membincangkan pendekatan dalam mengintegrasikan Java dan persekitaran VRML yang telah diaplikasikan dalam mensimulasi masa nyata bagi proses kisar hujung maya. Pendekatan yang menggunakan Routing ini adalah sangat penting untuk komunikasi dan penghantaran mesej antara VRML dan Java. Dalam pendekatan ini, nod Script digunakan bagi memanggil dan menghubungkan kelas Java dengan entiti-entiti yang sepatutnya di dalam persekitaran VRML. Simulasi bahan termesin bagi proses kisar hujung dalam sistem ini dilaksanakan melalui satu kaedah baru iaitu dengan penggunaan nod penaikan bagi penjanaan objek 3D dan nod PositionInterpolator serta CoordinateInterpolator bagi animasi bahan termesin. Melalui kaedah ini simulasi bagi proses kisar hujung dapat dipaparkan secara maya dan pada masa yang sama graf haus rusuk bagi perkakas pemotong melawan masa pemotongan dapat dijana serentak.
Face detection and analysis is an important area in computer vision. Furthermore, face detection has been an active research field in the recent years following the advancement in digital image processing. The visualisation of visual entities or sub-pattern composition may become complex to visualise due to the high frequency of noise and light effect during examination. This study focuses on evaluating the ability of Haar classifier in detecting faces from three paired Min-Max values used on histogram stretching. Min-Max histogram stretching was the selected method for implementation given that it appears to be the appropriate technique from the observation carried out. Experimental results show that, 60-240 MinMax values, Haar classifier can accurately detect faces compared to the two values.