Real-Time Wireless Face Recognition System (RT-WiFARES)

Ummi Nazirah, Jamil Khair (2013) Real-Time Wireless Face Recognition System (RT-WiFARES). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This project is aimed to design a real – time wireless face recognition system that is using two kinds of libraries in the C++ environment that are GStreamer and OpenCV libraries. This system is going to detect a human face on a live recording video session that are using IP camera. It then will match the captured image with the database. This process happens in real-time concept which is the output response to the input is synchronous and no time delay is expected. A sample image will be used as reference in the database. It will have the detail of the reference image for example their names. Thus when an image is captured by the video recording, it then will match the captured image with the sample image that is already stored in the database. The objective of this project is to enhanced current CCTV limitation such as reduce the human intervention in the monitoring process and produce a wireless connection between the IP camera, the router and the controller (PC). Other than automatically detect a human face, this project will also enable an update to the database by creating a GUI interface. This interface will allow the inserting of new image into database if required.

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