Identity Protection Suite vs OpenCV: What are the differences?
Developers describe Identity Protection Suite as "Anonymize faces & license plates on images & videos automatically". It offers various solutions to automatically redact faces and license plates on images and videos with highest quality. On the other hand, OpenCV is detailed as "Open Source Computer Vision Library". OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Identity Protection Suite and OpenCV can be categorized as "Image Processing and Management" tools.
Some of the features offered by Identity Protection Suite are:
- Fully automatic, AI-powered anonymization software
- High precision blurring of faces, full bodies and license plates in images and videos
- Deep Natural Anonymization of faces and license plates for privacy compliant image and video analytics and machine learning
On the other hand, OpenCV provides the following key features:
- C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
- More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
- Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics
OpenCV is an open source tool with 49.6K GitHub stars and 40.2K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.