Ans. OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human.

Ans. OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human.

Ans. OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human.

Ans. MTCNN or Multi-Task Cascaded Convolutional Neural Network is unquestionably one of the most popular and most accurate face detection tools today. As such, it is based on a deep learning architecture, it specifically consists of 3 neural networks (P-Net, R-Net, and O-Net) connected in a cascade.

Ans. In short, the term face recognition extends beyond detecting the presence of a human face to determine whose face it is. The process uses a computer application that captures a digital image of an individual's face sometimes taken from a video frame and compares it to images in a database of stored records.

Ans. The eigenface-based algorithm is used for Face Recognition, and it is a method for efficiently representing faces using Principal Component Analysis.

Ans. The main difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision.

Ans. Its layering and abstraction give deep learning models almost human-like abilities—including advanced image recognition. Using OpenCV—a widely adopted computer vision software—you c.an run previously trained deep learning models on inexpensive hardware and generate powerful insights from digital images and video.

Ans. OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2. imread() method loads an image from the specified file. If the image cannot be read (because of the missing file, improper permissions, unsupported or invalid format) then this method returns an empty matrix.

Ans. OpenCV is written in C++ and its primary interface is in C++, but it still retains a less comprehensive though extensive older C interface. All of the new developments and algorithms appear in the C++ interface. There are bindings in Python, Java, and MATLAB/OCTAVE.