Object Detection Using Convolutional Neural Network and Caffe Model |
Author(s): |
| Manjula. B , S.A Engineering College; Roshini. A.R, S.A Engineering College; Julia Faith. S, S.A Engineering College |
Keywords: |
| Caffe model, CNN, OpenCV |
Abstract |
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An object detection system recognises and searches the objects of the real world out of a digital image or a video, where the object can belong to any class or category. For example humans, cars, vehicles and so on. We have used Caffe model and convolutional neural network in order to complete this task of detecting an object. And this review paper discusses how deep learning technique is used to detect a live object, localise an object, categorise an object, extract features, appearance information, and many more, in images and videos using OpenCV and how caffee model and CNN is used to implement caffe model over other frameworks. To build our deep learning-based real-time object detector with OpenCV we need to access webcam in an efficient manner and to apply object detection to each frame. |
Other Details |
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Paper ID: IJSRDV9I20369 Published in: Volume : 9, Issue : 2 Publication Date: 01/05/2021 Page(s): 572-574 |
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