Real Time Monitoring System: Implementation of Face Detection and Recognition Algorithm
Dinesh Kumar K1, Karunamoorthy2, RaniThottungal3
1Dinesh Kumar K, PG Scholar, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
2Karunamoorthy, Associate Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
3RaniThottungal, Associate Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 17 December 2018 | Manuscript Published on 30 December 2018 | PP: 404-408 | Volume-8 Issue- 2S December 2018 | Retrieval Number: BS2677128218/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Face detection and recognition is used in biometric applications to identify the faces in real time. It is compare with the stored database. The objective of this paper is to develop a simulation model. To create a real time hardware monitoring system. It also based on an FPGA platform. The canny edge detection algorithm is used to detect the face edges in real time. The MATLAB used for simulation. The hardware platform can be developed based on altera DE1-SoC development board. An Personal computer monitor and 5 mega pixel TRDB-D5M CMOS camera also used for hardware setup. Verilog HDL used for the programming. The hardware implementation was also based on the Quartus Prime Lite Edison. The canny edge detection algorithm also used here. The alarm system depends on end result of the system.
Keywords: Quartus Prime, FPGA, edge Detection, Image Processing, Open Computer Vision, TRDB-D5M camera and DE1- SoC board.
Scope of the Article: Computer Architecture and VLSI