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About Real Time Video Analytics For Object Detection and Face Identification Using Deep Learning IJERTV8IS050298
This document discusses real-time video analytics using deep learning for object detection and face identification. It proposes a model that can perform large-scale video analytics quickly and generate accurate inferences in real-time. The model uses libraries like dlib for facial recognition with a ResNet-34 network trained on 3 million images. It also uses Tensorflow's object detection API to identify 3 million objects in videos. The overall model is trained on image data and can detect faces and objects in test video data, identifying people and labeling their faces.
Detailed Information
| Author: | ['Rohit Krishnan M'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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