Real Time Object Detection |
Author(s): |
| Raj Bhalchandra Pawar , Rajiv Gandhi Institute of Technology; Vikram Sakharam Phonde, Rajiv Gandhi Institute of Technology; Aryan Bhupesh Patel, Rajiv Gandhi Institute of Technology |
Keywords: |
| Real Time Object Identification, OpenCV |
Abstract |
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An object detection system recognizes and finds real-world items in a digital image or video, where the object can be of any class or kind. Humans, cars, and vehicles, for example, e humans, cars, vehicles and so on. The authors employed OpenCV packages, the Caffe model, and other tools. In order to accomplish this work, you'll need Python and NumPy. recognizing an object in a video or picture This is a review of the purpose of this study is to explain how deep learning is used to detects a live object, locates an object, and classifies an object, extract characteristics, information about look, and many more things more, using OpenCV in pictures and videos, and how caffe the model is utilized to implement, as well as why the authors have Caffe model was chosen over other frameworks. |
Other Details |
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Paper ID: IJSRDV10I20113 Published in: Volume : 10, Issue : 2 Publication Date: 01/05/2022 Page(s): 85-88 |
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