OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.
Applications of OpenCV: There are lots of applications which are solved using OpenCV, some of them are listed below
1.face recognition
2.Automated inspection and surveillance
3.number of people – count
4.Vehicle counting on highways along with their speeds
5.Interactive art installations
6.Anamoly (defect) detection in the manufacturing process (the odd defective products)
7.Street view image stitching
8.Video/image search and retrieval
9.Robot and driver-less car navigation and control
10.object recognition
11.Medical image analysis
12.Movies – 3D structure from motion
13.TV Channels advertisement recognition
