OPENCV
OpenCV is a large open-source library for computer vision, machine learning, and image processing, and it now plays a significant role in real-time operation, which is critical in today’s systems. It can process images and videos to identify objects, faces, and even human handwriting. Python can process the OpenCV array structure for analysis when combined with other libraries such as NumPy. We use vector space and perform mathematical operations on these features to identify image patterns and their various features.
The first version of OpenCV was 1.0. Because OpenCV is released under the BSD license, it is free for both academic and commercial use. It has C++, C, Python, and Java interfaces and works on Windows, Linux, and Mac.
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Applications of OpenCV
• Recognition of faces
• Automated inspection and monitoring
• Number of people – count (for example, foot traffic in a mall)
• Vehicle traffic on highways, as well as their speeds
• Installations of interactive art
• Detection of anomalies (defects) in the manufacturing process (the odd defective product)
• Image stitching from a street view
• Search and retrieval of video/images
• Car navigation and control object recognition by robots and drivers
• Image analysis in medicine
• Movies – 3D motion structure TV Channels advertisement recognition
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- Live Training 100% Assured Results
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- Tons of Reference
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What We Offer
Mini Projects
Learn by doing, & build a solid knowledge foundation with our mini Image Processing projects. Find out 100+ Image Processing mini projects for 2nd & 3rd-year engineering students.
Major Projects
Build both your resume and domain expertise
with interesting final year OpenCV projects are perfect for Btech/BE final
year students.
Research / M.Tech Projects
Get all the help you need and implement your research effortlessly with our research projects. Our Image Processing research projects are custom-made for Ph.D. students.
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