• Sanghamitra Layek Narula Institute Of Technology
Keywords: facial recognition, neural networks, openCV, LBPH


In today's world, Facial recognition by image processing is one of the most and advanced and recent foundations. Facial recognition is a fundamental step in approaching various security systems, data sets for identification of an individual, law enforcement, personal safety, biometrics, etc. This model has been developed can detect a face (known and unknown) among other objects from an image and recognize the faces by matching it with a previously made database using Neural Network. This system will have a predefined set of data. A face, when detected, will be matched with the dataset to find a resemblance. In this paper, A robot has been designed in such a way that it can recognize and track faces and then mention the person's name and also can interact with people via speeches. It can also show live video footage to the controller person`s device.A system has been designed using Cascade classification and Local Binary Pattern Histogram (LBPH) Face Recognizer method based on OpenCV library and Python Language. The movement of the robot is controlled by Nodemcu microcontroller board and is wirelessly connected to controlling person`s smartphone via inbuilt WI-FI modules of these two devices. The controller person can control the robot via a Nodemcu controller Application. It can be used in various fields like surveillance purposes to experiments purposes.


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Author Biography

Sanghamitra Layek, Narula Institute Of Technology

Department of Electronics and Instrumentation Engineering


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How to Cite
12th Inter-University Engineering, Science & Technology Academic Meet – 2022