• Vol 6, No 6 (2015)
  • Electrical, Electronics, and Computer Engineering

Design and Implementation of an Automatic Face-image Data Acquisition System using IP Based Multi Camera

Wahidin Wahab, M. Ridwan, Benyamin Kusumoputro


Cite this article as:

Wahab, W., & Ridwan, M.& Kusumoputro, B. 2018. Design and Implementation of an Automatic Face-image Data Acquisition System using IP Based Multi Camera. International Journal of Technology. Volume 6(6), pp.1042-1049

37
Downloads
Wahidin Wahab Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
M. Ridwan Informatics Engineering Study Program, Polytechnic Kampar, Jl. Tengku Muhammad Km.2, Bangkinang, Riau 28461, Indonesia
Benyamin Kusumoputro Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Email to Corresponding Author

Abstract
image

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

Data acquisition system, Image data base, Instrumentation, IP camera, Microcontroller

References

Benyamin, K, 2004. Pengembangan Hemisphere Structure of Hidden Layer Neural Networks dan Optimasi Strukturnya Menggunakan Algoritma Genetika. Prosiding Semiloka Teknologi Simulasi dan Komputasi serta Aplikasi, Fakultas Ilmu Komputer, Universitas Indonesia [in Bahasa]

Chen, T., Kung, S., Lin, Y 2002. Frame Synchronization in a Multi-camera System. New York: AT&T Corporation

Duckworth, T., Robert, D.J., 2011. Camera Image Synchronisation in Multiple Camera Real-time 3D Reconstruction of Moving Humans. IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pp. 138–144

Lina, Benyamin, K., 2003.Sistem Pengenalan Wajah 3-D Menggunakan Penambahan Garis Ciri Pada Metode Perhitungan Jarak Terpendek dalam Ruang Eigen. MAKARA, SAINS, Volume 7(1), pp. 1–10 [in Bahasa]

Moore, C., Duckwortht, T., Aspin, R., Robert, D., 2010. Synchronization of Images from Multiple Cameras to Reconstruct a Moving Human. Distributed Simulation and Real Time Applications (DS-RT), IEEE/ACM 14th International Symposium, pp. 53–60

Ridwan, M., 2014. Title. Master Thesis, Dept. E.E., Universitas Indonesia [in Bahasa]

Thiel, D., Goulart, M., Botelho, S., Bem, R., 2004. Hardware and Software Infrastructure to Image Acquisition using Multiple Cameras. Universidade Federal do Rio Grande – FURG