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The 21 most popular Computer Vision Companies and Startups in 2022

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Artificial Intelligence is revolutionizing the tech world right now. From recommendation systems, and self-driving cars to medical image recognition and smart cities: AI is everywhere, it powers the most innovative companies and products, and its presence in our lives is rapidly growing.

AI-powered vision is driven by Computer Vision companies across the world that enable Deep Learning and Machine Learning to “make computers see”.

While AI vision is rapidly growing in popularity, it’s not just big tech enterprises working with cutting-edge AI technology. Instead, many Computer Vision startups and smaller companies have significantly impacted democratizing AI and bringing its applications to the masses.

In the following, this article will feature 21 AI leaders of today.

Real-world computer vision in smart cities
Real-world computer vision in smart cities. – Built on Viso Suite

The most popular Computer Vision Companies in 2022

  • Company #1: SenseTime
  • Company #2: MegVii
  • Company #3: viso.ai
  • Company #4: NAUTO
  • Company #5: Verkada
  • Company #6: Tractable
  • Company #7: Airobotics
  • Company #8: Hawk-Eye Innovations
  • Company #9: Trigo
  • Company #10: Movidius
  • Company #11: Standard Cognition
  • Company #12: Orbital Insight
  • Company #13: Regna
  • Company #14: AnyClip
  • Company #15: Bossa Nova Robotics
  • Company #16: Descartes Labs
  • Company #17: Zebra Medical Imaging
  • Company #18: Neuromation
  • Company #19: Shield AI
  • Company #20: EyeSight
  • Company #21: Onfido

 

1. SenseTime

A multinational company operating out of China, SenseTime aims to positively impact human society with AI tools. Most of what they do is academic, and their contribution to AI research is monumental. One of SenseTime’s achievements is devising an AI system that detects objects better than the human eye. Their other research interests are already empowering several industries in the automotive, education, finance, and healthcare sectors.

2. MegVii

MegVii is an abbreviation for mega-vision. It is the computer vision company behind Face++, China’s first face recognition platform, and Brain++, a deep learning framework designed to train third-party algorithms.

MegVii’s computer vision helped them beat companies like Google, Microsoft, and Facebook in the International Conference on Computer Vision’s image recognition tests. As a result, they were the champions in 2017 and 2018.

 

Object Detection example with a pre-trained model
Real-world object detection using the state-of-the-art model YOLOv7 with Viso Suite

3. viso.ai

Viso.ai offers Viso Suite, a no-code computer vision platform for businesses to create, deploy and maintain Computer Vision applications end-to-end. Viso.ai is also powering the viso blog, a leading computer vision and deep learning blog, which you are currently reading.

Viso Suite offers visual programming to intuitively build Computer Vision applications with pre-built modules in a low-code/no-code editor. The platform connects industry-leading computer vision with the power of no-code/low-code development, all in one unified platform for the entire life-cycle of computer vision solutions. It offers a cloud workspace for businesses to build, deploy, monitor, and share complete AI vision applications. The best open-source tools, databases, and cloud infrastructure are integrated out-of-the-box and delivered as a fully managed service.

 

PPE Detection in construction - built with Viso Suite
Custom application for PPE Detection in construction – built with Viso Suite

There are different Viso Suite editions that provide full software infrastructure for computer vision, with unlimited users, computer vision applications and camera streams included.

When you build AI vision with Viso Suite, you get to choose from different service packages that suit your needs, from on-demand assistance to full engineering support and Computer-Vision-as-a-Service.

 

Viso Suite – Integrated Platform to power and deliver Computer Vision systems with Low-Code and Edge AI

4. NAUTO

NAUTO’s goal is to make driving safer for everyone by using computer vision. Their state-of-the-art AI assesses risk in real-time by determining driver alertness, vehicle movement, and other contextual data. This data gives the driver extra time to react and steer away or stop before something untoward happens.

Over 400 brands use NAUTO’s AI-powered fleet safety platform, and collectively, the system has processed over a billion miles of driver footage.

 

5. Verkada

Verkada’s vision is to make video surveillance robust by eliminating the vulnerabilities that come with traditional approaches. Instead of using basic equipment that can easily be compromised with an IP attack, Verkada utilizes AI to securely process video footage and identify people or detect movement within.

The computer vision company provides its analytics prowess as a service to clients and pushes the boundaries of computer vision at the same time.

 

6. Tractable

Tractable’s AI platform scans photographs and videos of disaster scenes to make an estimate of the amount of financial damage involved. This helps first responders better understand what they are up against and speeds up claims processes for affected people.

 

tractable.ai computer vision company
The computer vision company Tractable provides AI photo-based damage assessment – Source

7. Airobotics

Airobotics takes AI to the sky by making cutting-edge unmanned drones for aerial surveillance. The team behind the company is skilled not only in AI and computer vision but also in electronics and aerospace hardware design. This merging of minds enables the company to provide an end-to-end automated solution for aerial data collection and processing on their platform to extract actionable insights for industrial clients.

 

8. Hawk-Eye Innovations

Hawk-Eye merges sports with computer science by using AI vision to analyze decisions made by players. Their system is capable of processing data obtained in real-time from the players along with the movement of the ball or even cars. Insights derived from this data power a range of products and services geared towards revolutionizing sports by determining the fairness of matches and better broadcasting.

 

Example of computer vision in sports - with Viso Suite
Example of computer vision in sports – with Viso Suite

 

9. Trigo

Trigo enables grocery stores to be smarter by using artificial intelligence, machine learning, and AI-equipped hardware. From entry to exit, Trigo’s AI system facilitates an unmanned but seamless experience for customers. Shoppers in stores wired with Trigo don’t have to wait in checkout lines. Instead, they can directly scan the products using their phone to pay and walk out when they are done. As of 2021, Trigo has partnered with Google Cloud to accelerate growth and expand its offerings.

 

10. Movidius

California-based company Movidius builds chips that are specifically designed for computer vision. They have made products such as Myriad X, which features a dedicated Neural Compute Engine for Edge AI workloads.

The Movidius AI accelerator is available as a USB device for the Edge named Neural Compute Stick 2. In 2018 the company was acquired by Intel, and it now functions as an Intel subsidiary, and all its chips bear the Intel Movidius moniker.

 

Intel NCS2 Intel Movidius Neural Compute Stick
Intel Neural Compute Stick from Intel Movidius

11. Standard Cognition

Similar to Trigo, Standard Cognition uses image recognition AI to facilitate a checkout-free shopping experience for retail store customers. Their technology does not require any remodification to the store, and all of their deployments happen within store premises to preserve customer privacy. In addition to providing a seamless shopping experience, their AI system provides real-time insights about product performance and inventory changes to store owners.

To learn more about this field of application, I recommend checking out our article about the top 10 applications of Computer Vision in Retail.

 

Example of movement analysis and deep learning heat maps with Viso Suite
Example of retail customer movement analysis and deep learning heat maps with Viso Suite

12. Orbital Insight

As the name suggests, Orbital Insight specializes in applying computer vision to geo-analytics. The company uses satellites, drones, balloons, UAV footage, and geolocation data from mobile phones to analyze human activities and provide businesses and governments with key behavioral insights.

Orbital Insight has worked with several large firms, including the World Bank and the US Department of Defence, to improve their geo-spatial data and help them better understand global supply chains, geopolitical events, and address security concerns.

Check out our blog article to explore AI vision applications in aviation.

 

13. Regna

Regna uses AI to manufacture form-fitting high-performance athletic suits that are perfectly tailored to the bodies of individuals. They use an “Avatar to Pattern” technology to extract precise measurements from full-body photos and use it to make their custom-printed and expertly crafted apparel.

 

14. AnyClip

AnyClip harnesses computer vision to turn videos into actionable assets by extracting data from the images and motions happening within. Actions and patterns detected within the images are then used as context for business use. This data is then processed on their fully automated AI-powered platform to glean marketing, merchandising, distribution, and analytical insights that businesses can use. Additionally, the extracted data is cataloged in an easily searchable way and can be repurposed later.

 

15. Bossa Nova Robotics

An offshoot of Carnegie Mellon University’s robotics institute, Bossa Nova Robotics, is on a mission to document every product in every retail store worldwide using state-of-the-art AI so that customers are never turned away if they can’t find something. Additionally, they provide real-time inventory updates to store owners so that nothing goes out of stock without someone knowing. Presently, their systems are operational in over 1000 stores across Europe and the US.

 

16. Descartes Labs

Similar to Orbital Insight, Descartes Labs collects geospatial data but uses it to promote sustainable mining and agriculture. Agencies use their AI-driven insights to understand where and when such 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.

 

Descartes Labs using computer vision to explore the earth
Descartes Labs using computer vision to explore the earth – Source

17. Zebra Medical Imaging

Zebra-Med enables radiologists to make faster and more accurate diagnoses using the power of AI. The company processes millions of images and clinical records to train cutting-edge algorithms that can accurately detect bodily anomalies.

The algorithms of Zebra-Med help radiologists to prioritize patients, implement preventive measures, and optimize their workflow to safely and cost-efficiently perform diagnoses and administer treatments.

Explore our industry guide to learn about deep learning and computer vision in healthcare

 

18. Neuromation

Neuromation uses AI for a variety of applications. Some of their core competencies include:

  • Powering facial recognition systems and home security with computer vision
  • Object classification for inventory management in stores.
  • AI-based medical imaging for cancer detection and MRI
  • Optimizing supply chain management and manufacturing using AI-powered robots and data-driven analytics.

Additionally, Neuromation also operates an AI marketplace to buy and use trained models for various workflows.

 

19. Shield AI

Shield AI makes use of AI techniques to power a range of military use-cases. Primarily, they use powerful AI software and Edge-level AI systems to power unmanned vehicles and assist pilots in areas with no GPS or other communication.

Moreover, Shield AI uses artificial intelligence to enable military personnel to execute tactically difficult maneuvers. As a company, Shield AI’s motto is to keep armed personnel and civilians safe from external threats.

If you are interested in computer vision for smart missile guidance, check out our blog article about aviation use cases.

 

20. EyeSight

Cipia, formerly known as EyeSight Technologies, offers AI-based in-cabin services for people behind the steering wheel to enhance their driving experience and ensure safety. They have three flagship products:

  • DriverSense: A monitoring system to keep track of the driver’s state and their surroundings.
  • CabinSense: A monitoring system that checks the interior conditions of the vehicle in real-time.
  • Cipia FS-10: An aftermarket video telematics system intended for deployment in fleets.

 

21. Onfido

Onfido aims to create a new standard for how people are verified, both online and offline. They use AI to determine the authenticity of government-issued IDs to stop identity theft and fraud while also upholding individual privacy.

The customer portfolio of Onfido includes companies such as Revolut, bunq, and Bitstamp. These companies use Onfido’s service to securely onboard customers.

 

What’s Next?

So, there you have it – 21 startups and companies that are revolutionizing how AI impacts our daily lives. Each of these companies is pushing the boundaries of computer vision to help computers make better sense of everyday life and the world around us.

If you want to learn more about the AI vision solutions that those and other companies build, we recommend you to check out the most popular computer vision applications.

Read more about computer vision and deep learning:

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