Computer Vision
Computer Vision and Deep Learning are the superstars of today’s AI universe, fueling everything from cars that drive themselves to medical tools smart enough to spot issues even seasoned doctors
Image annotation is a crucial step in computer vision that involves adding meaningful information—such as shapes, labels, or markers—to an image. This process is widely used in applications like object
Fingerprint matching plays a crucial role in various security applications, such as identity verification and criminal investigations. While most fingerprint matching systems rely on large machine learning models and sophisticated
Creating a product is not just about software; hardware plays a crucial role as well. Specifically, in computer vision, we need compact edge hardware to deploy our object detection models
Image cropping is a fundamental operation in image processing that involves selecting a specific region of interest (ROI) from an image and discarding the rest. This technique is widely used
Accessing and manipulating pixels is the most fundamental step in image processing. Every image is made up of tiny elements called pixels, and modifying these pixels allows us to perform
In this article, we explore different methods for detecting text in images using OpenCV’s built-in models and discuss text removal techniques using image inpainting. OpenCV, one of the most powerful
Autofocus plays a crucial role in imaging systems, ensuring that captured images and video frames are sharp and well-defined. In various applications, such as medical imaging, surveillance, and photography, selecting
Image resizing and rescaling are fundamental operations in computer vision, essential for optimizing performance, preparing data for machine learning, and enhancing visualization. OpenCV, one of the most powerful and widely
OpenCV is an open-source computer vision library that provides a robust set of tools for handling images and videos. Among its many functionalities, it offers essential methods to read, display,
OpenCV is widely used for image and video processing. Unlike static images, videos consist of multiple frames played in sequence, requiring careful handling of frame rates and smooth processing. This
