OpenCV for Computer Vision Applications

Author(s)	Ms. Ekta Sinha, Mr. Ashwani Kumar, Mr. Abhinav Tyagi
Country	India
Abstract	OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capabilities of OpenCV for real-time applications such as surveillance, face authentication, edge detection, and mobile video processing. By leveraging OpenCV modules, systems can perform advanced tasks like filtering, transformation, tracking, and detecting features. The discussed applications, implemented in real-world scenarios, demonstrate OpenCV’s efficiency, scalability, and suitability for intelligent systems across diverse platforms.
Keywords	opencv,computer vision
Field	Computer Applications
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-26
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.44280
Short DOI	https://doi.org/g9mh7s

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research