• Ch. Ravisankar
• M. Suresh

It has become a serious issue to identity thefts who tries to do fraudulent activities. In this way, so as to maintain a strategic distance from these burglaries and character extortion, a face recognizable proof or face acknowledgment framework could be better arrangement. The extent of this paper is to build up a security get to control application dependent on face acknowledgment. The Haar Cascade calculation is utilized for face location and Local Binary Pattern Histogram (LBPH) calculation is utilized for face acknowledgment. In this paper, I have used Open CV libraries and python computer programming language. Here with the cost that is required for face detection is minimized, and I first wrote the code for detection in which I prepared the dataset for training purpose by taking various pictures with the pi camera., and then prepared the code for recognition which recognizes the face of the person whose picture is stored in the dataset and unlocks the door on identifying the person’s face. Accordingly prepared a system in which the setup has all the required components which are attached for detection, recognition and for further action to be followed.

Image acquisition and processing, Investigation of facial image, IoT, Raspberry Pi.

"IoT Based Key Less Home Entry and Home Security System using Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.1441-1445, March-2019, Available :http://www.jetir.org/papers/JETIREL06217.pdf

"IoT Based Key Less Home Entry and Home Security System using Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp1441-1445, March-2019, Available at : http://www.jetir.org/papers/JETIREL06217.pdf