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Top 5 Most Popular Computer Vision Tools in 2022

Computer Vision

  • Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
  • From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.
  • Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images.
  • The advancement of Deep Learning techniques has brought further life to the field of computer vision.
  • The accuracy of deep learning algorithms on several benchmark computer vision data sets for tasks ranging from classification, segmentation and optical flow has surpassed prior methods.

Computer Vision – Sub Domains

Sub-domains of computer vision are,

  • Scene Reconstruction
  • Object Detection
  • Event Detection
  • Video Tracking
  • Object Recognition
  • 3d Pose Estimation
  • Learning
  • Indexing
  • Motion Estimation
  • Visual Serving
  • 3d Scene Modeling and
  • Image Restoration.

Computer Vision Company – Market Size

According to Markets and Markets, the computer vision market is expected to grow from USD 10.9 billion in 2019 to USD 17.4 billion by 2024-growing at a CAGR of 7.8% during the forecast period

Computer Vision – Top 5 Tools

  • OpenCV is an open-source computer vision and machine learning software library, and it makes it easy for businesses to utilize and modify the code.
  • 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.
  • It is written natively in C++ and has a templated interface that works seamlessly with STL containers.




  • TensorFlow is an end-to-end open-source platform for machine learning.
  • It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
  • TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs.



  • MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyse data, develop algorithms, and create models.
  • It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.
  • It performs large-scale computations and parallelizes simulations using multicore desktops, GPUs, clusters, and clouds.



  • Keras is an API designed for human beings, not machines and it follows best practices for reducing cognitive load.
  • It offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
  • It is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It is not only possible; it is easy.



  • SimpleCV is an open-source framework for building computer vision applications.
  • It provides access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, colour spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy.
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