International Journal of Contemporary Research in Multidisciplinary

Abstract:

Internet of Things technologies has played a significant role in developing the world and providing the best services to get the best possible results. Due to the importance of the increased demand for them, computers have become very important because they provide high-resolution technologies. Today, computers have become compared to humans in many things. These have made great progress in face recognition; the computer has high accuracy in recognizing and recognizing faces, through high technologies. With the help of programming factors that have become a wonderful thing with the results they provide, the most important advantage for Internet of Things technologies is that they give results and recognize the face in a better way than humans, where if a person sees the face, perhaps at another time he will not recognize it, but the computer stores the face in a base Private data to be recognized at any time he wants and this is what distinguishes him. In this paper, we presented a technical model for facial recognition consisting of two experiments. In the first experiment, we used the Raspberry Pi 4 Model B platform. In addition to other contents, Micro SD card, power supply, and monitoring wire HDMI, mouse, and keyboard, as these were connected programmatically. We also used a second experiment using supervised machine learning techniques, We were able to improve its performance, and we obtained accuracy equal to 98.27%. This technology also provides me with the recognition of all faces without exception.

Keywords:

Facial Recognition, Raspberry Pi 4 Model B, Internet of things (IoT), Ensemble, Machine learning technologies

Aim/Objectives

Methods