Series-1 (July -Aug. 2020)July -Aug. 2020 Issue Statistics
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|Paper Type||:||Research Paper|
|Title||:||Multi TargetFacial Recognition System Using Deep Learning|
|Authors||:||Aishwarya Ramesh || AnirbanGhosh|
Abstract: Object/pattern recognition is a technique of computer vision for image or video classification of objects. Facial recognition is one of the most popular streams of object recognition. Facial recognition is an automated classification that mathematically finds a person's attributes regarding the face using deep learning.This paper elucidates the phases of facial detection, extraction of facial features, and finally identification of the person based on said features.As concepts of facial recognition become more and more relevant in the modern industry, researchers have created and refined many recognition models. A few of the drawbacks of these facial recognition solutions are their heavy training times and limited reusability.This paper addresses these problems and attempts to solve them by creating an ensemble of best in the market technologies to achieve high accuracy at high speeds. The system is designed to allow fast customization for any niche dataset, for example, students attending a class, a group of wanted individuals, patients in a hospital, etc. Background:Computer vision and........
Keywords: Facial Recognition; Google FaceNet; YOLOv3; Computer Vision; Image Processing; Deep Learning.
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