OpenCV for Computer Vision Applications

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.

# Computer Science and Engineering # Computer Science # Image and Object Detection Techniques # Advanced Neural Network Applications

Ekta Sinha, Ashwani Kumar, Abhinav Tyagi (2025). "OpenCV for Computer Vision Applications". International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2025.v07i03.44280