The document proposes a real-time face detection and identification system using IP cameras and a Raspberry Pi. It relies on open source APIs like OpenCV for image processing capabilities. A study is conducted on the performance of the proposed system compared to commercial frameworks. Various experiments are performed on the developed system and results are analyzed through software codes. The solution provides simple face detection and identification functionalities for both live and still human faces.

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Efficient Face Detection and Identification In Networked Video Surveillance Systems.
Abstract:
Applications for face detection use algorithms that rely on identifying human faces in broader
photos that may include environments, artifacts, and other sections of a person's physique.
This work proposes a real-time identification system, based on modern image processing
capabilities of open source API like OpenCV and due to the solution requirements, a study
on the performance analysis of such solution compared to available commercial framework
like SPID from NEC is intended. However, here, the study is available with the results of
various experiments on the developed system. A systematic approach is followed to produce
such outputs and have been measured using software codes. By using IP camera and a
Raspberry Pi, the solution developed is simple in nature. This study relies on face detection
and identification functionalities for human faces but not limited to live faces only but mix of
faces from still images as well.