Open Computer Vision and programming functions are tools for text analytics. OpenCV is an open source computer vision and machine learning software library.
The term “Open Computer Vision” is used in the text analytics industry to refer to the use of computer vision algorithms and functions to analyze text. This includes analysis of handwriting, printed text, and digital images of text.
OpenCV is an open source computer vision library that includes many common computer vision algorithms and functions. These can be used to develop applications that perform tasks such as object recognition, facial recognition, and motion tracking.
Open Computer Vision may also be referred to as “Optical Character Recognition” or “OCR”. OCR is a technology that enables computers to read text from images, such as scanned documents or images of text from a digital camera.
How Open Computer Vision is used
OpenCV is an open source computer vision library that includes many common computer vision algorithms and functions. These can be used to develop applications that perform tasks such as object recognition, facial recognition, and motion tracking.
What are some benefits of using Open Computer Vision?
Some benefits of using OpenCV include:
- The ability to develop applications that can perform various tasks such as object recognition, facial recognition, and motion tracking.
- The library is open source, which means that it is free to use.
- It includes many common computer vision algorithms and functions, making it a powerful tool for text analytics.
Open Computer Vision and Security
OpenCV can be used for security applications such as surveillance and facial recognition. For example, surveillance cameras can use OpenCV to detect faces in a crowd and report this data to a security team. Additionally, OpenCV can be used for facial recognition systems that identify individuals based on their unique facial features.
What are some limitations of using Open Computer Vision?
Some limitations of using OpenCV include:
- The library only supports two-dimensional images, so it cannot be used for three-dimensional tasks such as object recognition from a distance.
- It can be difficult to install and set up, especially for users who are not familiar with computer vision or programming.
- The documentation is sometimes lacking, which can make it difficult to understand how to use the library effectively.