IoT based Real Time Face Recognition Door Lock System using Neural Network


IoT based Real Time Face Recognition Door Lock System using Neural Network

Khaing Zar Zar Myint

Khaing Zar Zar Myint "IoT based Real Time Face Recognition Door Lock System using Neural Network" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-6 | Issue-2 , April 2019, URL: http://www.ijtrd.com/papers/IJTRD15888.pdf

Face recognition is one of the most popular and challenging topics in the fields of pattern recognition and computer vision. In this system, Raspberry Pi is used for face recognition. Histogram of Oriented Gradients HOG, Principal Component Analysis PCA and Back Propagation Neural Network are used for solving face recognition problem. After solving the face recognition problem, Pi sends the results to the Message Broker Cloud MQTT. It is deal for the “Internet of Things IoT” world of connected devices. NodeMCU is send the result messages which expressed the detected faces are known or unknown by the Cloud MQTT. Finally, Node MCU control the motor to lock or unlock the door according to the messages.

Histogram Equalization, Principal Component Analysis and Back Propagation Neural Network, Raspberry Pi, Cloud MQTT, IoT, NodeMCU.


Volume-6 | Issue-2 , April 2019

2394-9333

IJTRD15888
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