facial recognition

12 Top Computer Vision Companies

Some people believe that AI violates personal privacy, makes humans lazy, and does not create room for creativity but the fact still remains that AI is revolutionizing our society and is bringing many improvements.

One of the technologies of AI is computer vision. Computer vision is a field of artificial intelligence (AI) that empowers computers and other machines to decipher meaningful information from digital images, videos, and other visual inputs and take appropriate actions or make recommendations based on that information.

Checkout: What is Artificial Intelligence? A Deep Introduction

Computer vision makes use of cameras as its eyes for sight and correctly identifies objects, humans, animals, and other any other thing in the environment and take the needed actions.

This AI technology is made possible with machine learning that subjects the computer to different images using algorithms like linear regression and logistic regression rather than retinas, optic nerves, and visual cortex.

That is, the computer must have been fed with lots (thousands or millions) of labeled data over and over until it discerns distinctions and ultimately recognizes images. For example, to train a computer to recognize automobile tires, it needs to be fed vast quantities of tire images and tire-related items to learn the differences and recognize a tire, especially one with no defects.

The experimentation and development of computer vision began in 1959 (over 60 years) with some neurophysiologists. In 1982, a neuroscientist known as David Marr introduced algorithms for machines to detect edges, corners, curves, and similar basic shapes. 

Also Checkout: Top 5 Machine Learning Companies 2023

Since then, the early foundations for many of the computer vision algorithms that exist today, including extraction of edges from images, labeling of lines, non-polyhedral and polyhedral modeling, representation of objects as interconnections of smaller structures, optical flow, and motion estimation were developed.

The following are the examples or applications of computer vision, that are areas the computer vision has influenced:

  1.  Autonomous or self-driving vehicles: Computer vision helps cars to understand their surrounding with cameras as the eyes for sight. Car manufacturers like Tesla, BMW, Volvo, and Audi use multiple cameras, lidar, radar, and ultrasonic sensors to acquire images from the environment to enable their self-driving cars to detect objects, humans, signs, and traffic signals and navigate safely.
  2. Google Translate: This application helps to read signs in a foreign language with the help of a phone camera over the words. Google Translate app tells you what it means in your preferred language immediately. This is achieved by using optical character recognition to see the image and augmented reality to overlay an accurate translation.
  3. Facial recognition: Computer vision has improved security in our society, especially in the aspect of face recognition. Matching images of people’s faces to their identities, security personnel uses it to identify criminals. It is also used in payment portals, security checkpoints at the airport, phones for security, and social media. 
  4.  Healthcare: In health tech computer vision uses algorithms to detect and analyze symptoms in  X-rays, MRI, mammography, cancers in images, and other scans.
  5. Agriculture: At CES 2019, John Deere featured a semi-autonomous combine harvester that uses artificial intelligence and computer vision to analyze grain quality as it gets harvested and to find the optimal route through the crops. There’s also great potential for computer vision to identify weeds so that herbicides can be sprayed directly on them instead of on the crops. This will reduce the contamination of our crops during fumigation.

Here are 12 Top computer vision companies that are making significant contributions in the field of computer vision:


SenseTime is a multinational artificial intelligence company that is focused on Deep Learning and Computer Vision. It aims to empower businesses with innovative AI technologies. They are well known for breakthroughs in AI research, including designing an AI system whose detection skills outplay those of a human eye.

SenseTime is a member of The Global Artificial Intelligence Academic Alliance and has established joint research labs and most of what they do is academic.

Their research empowers industries in the automotive, education, finance, and healthcare sectors.

The company was established in October 2014 by Tang Xiaoou and Xu Li and is headquartered in Hong Kong, China. It has offices in Indonesia, Japan, South Korea, Macau, Malaysia, Saudi Arabia, Singapore, Taiwan, UAE, and the Philippines.


Mega-vision or MegVii is a computer vision company that designed a deep learning framework to train third-party algorithms. MegVii championed in 2017 and 2018 International Conference on Computer Vision’s image recognition tests,  after beating the likes of Google, Microsoft, and Facebook with the help of their computer vision.

In 2011, the company was founded by Yin Qi, Tang Wenbin, and Yang Mu and it is headquartered in Bejing, China.


Absolutdata has achieved a lot in revenue management, AI, and Analytics solutions. By merging the right set of business data, AI, and ML models they bring out the right set of intel recommendations for the businesses to increase their revenue significantly.

They created the NAVIK AI platform to process, analyze, monitor, and recommend business-oriented insights to drive their clients’ revenue.

It is regarded as one of the top computer vision consulting firms in the business world with clients like Kia Motors, Adidas, Autodesk, and many more.


 Founded in 1968, Intel has a strong portfolio of computer vision products in the categories of general-purpose computing and accelerators. They are pioneers in open-source vision and AI software.

With reference applications and sample code, orchestration, validation from the cloud service provider, and an extensive set of tutorials,  Intel has the complete toolkit required to accelerate computer vision for organizations.

In addition, intel is also associated with Accenture for video analytics, FIFA World Cup Security enhancement, life sciences field, and many more.


Viso.AI offers a no-code computer vision platform called Viso Suite that enables businesses to create, deploy and maintain Computer Vision applications end-to-end. This unified platform aims at democratizing AI technology and enabling it for all at any place. 

The company also has a leading computer vision and deep learning blog for businesses. It offers a cloud workspace for businesses to create, deploy, monitor, and share complete AI vision applications.


DataToBiz, headquartered in India, has focused on Data Engineering & AI Solutions but its core strength lies in Computer Vision.

With multiple industry expertise such in Telecom, Medical, Transportation, Retail Analytics, Education, HR, Securities, and various other industries. They have been serving distinct clients across the globe in different industries.

Facial Recognition is a flagship of DataToBiz. From face recognition to identification, detection of emotion, spoofing protection to liveness detection, they do take care of it in its entirety.  They do try to acquire, process, understand and analyze multiple images and video data to extract valuable insights for business.


Descartes Labs uses computer vision to explore the earth. They are focused on Agriculture and Mining. They collect geo-spatial data but use it to promote sustainable mining and agriculture.

Some agencies use their AI-driven insights to know and understand where and when activities would be carbon-neutral and have minimal impact.

Additionally, their expertise is also used for defense intelligence and supply-chain forecasting across the globe.


Ceva Inc. is focused on licensing of Intellectual Properties. The company has grown into a recognized licensor of wireless connectivity and smart sensing technologies and integrated IPs.

The company delivers its DSP cores, platforms, and AI processors. Their platforms further support 5G baseband processing in mobile and infrastructure, next-gen imaging, and computer vision for any device.

 The company is founded on 22nd November 1999 with its headquarters at Mountain View, California, USA.


Location in La Jolla, California is CureMetrix. This is one company that is focused solely on medical technologies, they are very famous when it comes to health tech.  

CureMetrix is contributing to the quality improvement of radiology. The company focuses on developing futureproof medical imaging technology for healthcare providers and patients alike.

In the field of disease early and timely detection and cancer survival, they have done a phenomenal job in technology advancement.

Using computer vision, CureMetrix has developed breast health solutions for the healthcare sector to improve mammography exam results and send a notification code to the radiologist’s mammography worklist.


Itrex group is a well-known name in the field of AI and the overall technology consulting domain. Located in Santa Monica, California, they have been associated with clients across the globe for AI, IoT, Cloud, Data Services, and many more.

They provide accurate solutions for the recognition and interpretation of visual information from biometric authentication, live video analysis, and CCTV monitoring.

The company’s solutions have been used by Universal Electronics, Walmart Warner Bros, and many other prominent companies.


Softeq specializes in serving Computer vision technology for image retrieval and object detection on a silver platter for its clients.

They provide computer vision solutions with extensively high performance for 3 fields — Object tracking, Object recognition, and Content Analysis.

Their professional services include digital filtering and noise separation for image accuracy, gesture and movement recognition, and others.


Algolux is a company that provides a desktop tool that uses machine learning to automatically enhance imaging and vision systems by combining large real-world computer vision training data sets with standards-based metrics and chart-driven indicators.

They produce a full-stack solution that improves imaging and perception in harsh conditions like low-light and adverse weather.


The AI revolution has changed the world and its footprints are felt in all the industries across the globe.

It has changed the way companies operate their traditional business resulting in an immense productivity boost and I believe that computer vision technology hasn’t grown to its full potential yet.

The computer vision market is expected to reach 144.46 billion USD by 2028 (at 45.64% of CAGR) and we are still a long way from a 144.46 billion market size.

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