Customized Smart Object Detection Using Yolo and R-CNN In Machine Learning

Authors

  • Mohammed Zabi Uddin  Department of Computer Science Engineering, ISL Engineering College, Hyderabad India
  • Mohammed Abeel Ahmed Mohiuddin  Department of Computer Science Engineering, ISL Engineering College, Hyderabad India
  • Mohd Abdullah Ansari  Department of Computer Science Engineering, ISL Engineering College, Hyderabad India
  • Dr. Syed Asadullah Hussaini  Associate Professor, Department of Computer Science Engineering, ISL Engineering College, Hyderabad India

Keywords:

OpenCV, Video Tracking, Machine Learning, Start Webcam

Abstract

In this project using python and OPENCV module we are detecting objects from videos and webcam. This application consists of two modules such as ‘Browse System Videos’ and ‘Start Webcam Video Tracking’.

Object tracking is an important task in computer vision and has numerous applications in fields such as surveillance, robotics, and autonomous driving. In this project, we aim to develop an object tracking system using Python and the OpenCV module. The system consists of two modules: "Browse System Videos" and "Start Webcam Video Tracking." The first module allows the user to select a video file from their system to track objects in, while the second module tracks objects in real-time using the user's webcam. Our system uses a combination of computer vision techniques, such as color thresholding and blob detection, to detect and track objects in the video or webcam feed. By developing this system, we hope to demonstrate the potential of Python and OpenCV for object tracking applications and inspire further development in the field.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mohammed Zabi Uddin, Mohammed Abeel Ahmed Mohiuddin, Mohd Abdullah Ansari, Dr. Syed Asadullah Hussaini "Customized Smart Object Detection Using Yolo and R-CNN In Machine Learning" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.633-638, March-April-2023.