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"Current research trends in 3D Face recognition system requires a special hardware for fast capturing face image data from multi angle view. To support this research, we had designed and implemented an automatic image data acquisition system using multi-camera for capturing facial images from 5o different angle views, which spanned horizontally from 180° from left to right, and vertically from horizontal up to 70o above the face. The system was designed using 30 IP cameras that were mounted on two rigid steel arms that had the form of three quarter of a circle, the two steel arms formed the angle of 90° to each other. At each arm, 15 IP cameras were mounted with 5o spacing vertically to each others. This arm was driven by a DC motor which was controlled by a microcontroller and supervised directly by a laptop computer along with the data acquisition activities. The software for capturing images was designed using C# GUI programming language. The system had been working in good condition and image-data were saved in JPEG format. Time duration of capturing images data for one object face expression with 30 times capturing for the whole angle views, was only 3 minutes 44.5 seconds with total number of 16,650 images collected. The delay time between two cameras capturing was less than 1 sec. This project is aimed to support the 3D face recognition research in the department"

"Animo penghujung yang sangat banyak di museum dirgantara mandala belum terpantau secara jelas karena penghitungannya dilakukan secara manual saat pengunjung masuk."

"ABSTRAKPengenalan wajah 3D memerlukan perangkat khusus untuk merekam citra wajah dengan berbagai sudut pandang. Tesis ini merancang sebuah sistem akusisi perekaman data citra wajah secara otomatis menggunakan multi kamera dengan perbedaan sudut pandang 5o setiap kamera. Sudut pandang keseluruhan yang direkam adalah 180o secara horizontal dari kiri kekanan dan 70o secara vertikal dari posisi horizontal depan dada sampai atas. Kamera yang digunakan adalah kamera IP yang dipasang pada dua buah lengan yang membentuk sudut 90o, masing-masing lengan dipasang 15 kamera IP berjarak 5o secara vertikal antara satu dengan lainnya. Lengan digerakkan oleh motor DC yang dikendalikan secara otomatis dengan sebuah mikrokontroller yang dikoordinasikan oleh komputer. Pembuatan software perekaman citra menggunakan bahasa pemograman C#. Secara fungsional sistem dapat berjalan dengan baik, data yang direkam langsung berupa citra dalam format JPEG. Durasi waktu perekaman untuk satu ekspresi wajah sebanyak 30 kali perekaman dengan sudut pandang sebesar 180o horizontal dan 70o vertikal adalah 3 menit 44 detik 492 milidetik dengan total jumlah citra sebanyak 16.650 buah yang terekam.

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ABSTRACTFace recognition 3D system needs a spesially hardware for capturing data of face images with multi angle view. This thesis is designing an automatic data acquisition system using mutlicamera for capturing facial images with angle view of each 5o. Total angle view that are captured is 180° horizontally from left to right and 70o vertically from horizontal to top. This system using IP cameras that mount on two arms forming angle of 90, each arms are mounted 15 IP cameras with 5o spacing vertically each to others. This arm is driven by a DC motor which is controlled by a microcontroller which is supervised by a laptop computer. The software for capturing images using C# GUI programming language. Functionally, the system is already working in good condition and images data are saved in JPEG format. Time duration of capturing images data for one face expression with 30 times capturing for 180° horizontal and 70° vertical views, are 3 minutes 44 seconds 492 milliseconds with total number of images are 16,650 images"