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Top Computer Vision Companies

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39 companies for Computer Vision

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viso.ai's Logo

viso.ai

Schaffhausen, Switzerland

A

11-50 Employees

2017

Key takeaway

Viso Suite is a leading platform in computer vision, enabling the rapid development of applications like object detection and recognition without the need for extensive coding. Their innovative visual programming approach allows businesses, including Fortune 500 companies, to deploy computer vision solutions efficiently, often within two weeks.

Reference

Product

Computer Vision for Technology Companies - viso.ai

Real-world computer vision solutions for tech companies, including object detection, recognition and tracking applications.

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Computer Vision Foundation's Logo

Computer Vision Foundation

New York, United States

B

11-50 Employees

2011

Key takeaway

The Computer Vision Foundation is a non-profit organization dedicated to promoting and supporting research in all areas of computer vision.

Reference

Core business

Information – The Computer Vision Foundation

CVision AI's Logo

CVision AI

Medford, United States

B

1-10 Employees

2016

Key takeaway

CVision AI specializes in innovative video analytics products that leverage computer vision and artificial intelligence, addressing customer needs throughout the video analytics pipeline. Their commitment to enhancing practical applications of computer vision ensures that clients can effectively utilize advanced algorithms for video analysis.

Reference

Core business

About us | CVision AI

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Q.E.F. Electronic Innovations B.V.'s Logo

Q.E.F. Electronic Innovations B.V.

Montfoort, Netherlands

A

11-50 Employees

1993

Key takeaway

QEF is dedicated to developing advanced technology, including hyperintelligent camera control systems specifically designed for computer vision applications. Their innovative computer vision systems cater to various industries, such as food and mailing.

Reference

Product

Computer Vision | QEF

Visaltium's Logo

Visaltium

Barcelona, Spain

A

1-10 Employees

-

Key takeaway

Visaltium is a pioneer in computer vision solutions and services, utilizing the latest technologies to transform industries through tailored applications of Artificial Intelligence and Deep Learning. Their expert team ensures that products not only meet current client needs but also prepare them for future innovations in the field.

Reference

Core business

Visaltium

Your Computer Vision Partner.

Vision AI Suite's Logo

Vision AI Suite

Johannesburg, South Africa

C

51-100 Employees

2017

Key takeaway

The company utilizes computer vision technology through its visionTrack system, which enhances manufacturing processes by integrating with existing CCTV systems to identify, track, and analyze activities on production lines. This advanced image recognition and object detection capability automates production, improves quality control, and provides valuable insights for more efficient operations.

Reference

Product

Computer Vision - visionAI

Computer Vision allows a computer to read its surroundings and identify things, similar to how human vision perceives things.

DeepRay's Logo

DeepRay

Athens, Greece

B

1-10 Employees

2020

Key takeaway

DeepRay specializes in computer vision, utilizing deep learning models for various applications, including car damage auditing, vessel detection via satellite, and road network extraction from satellite images.

Reference

Service

DeepRay::Services::Computer Vision

Softarex Technologies, Inc.'s Logo

Softarex Technologies, Inc.

Alexandria, United States

B

101-250 Employees

2000

Key takeaway

Softarex Technologies Inc. specializes in computer vision engineering services that empower businesses to enhance their operational efficiency and decision-making capabilities. Their innovative solutions, which integrate computer vision and artificial intelligence, have significantly improved kitchen operations for major fast-food chains and are being utilized across various industries, including healthcare and manufacturing.

Reference

Service

Services: Computer Vision Engineering - Softarex

Softarex Technologies Inc. offers computer vision engineering services to enable your business to actually "see" and "think".

ml4vision's Logo

ml4vision

Leuven, Belgium

A

1-10 Employees

2021

Key takeaway

The company specializes in developing computer vision solutions, offering a range from proof-of-concept to fully operational applications, emphasizing their commitment to applying the latest technologies and optimizing the machine learning pipeline for various industries.

Reference

Core business

ml4vision - Computer vision for the real world

We develop computer vision solutions, ranging from proof-of-concept to full-fledged production-ready applications.

Red Buffer's Logo

Red Buffer

Dover, United States

B

51-100 Employees

2013

Key takeaway

Red Buffer specializes in developing advanced systems that enhance efficiency in data processing, including applications in computer vision. With over 7 years of experience in machine learning, the company is well-equipped to transform AI visions into practical solutions.

Reference

Service

Computer Vision – Red Buffer


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Products and services for Computer Vision

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Product: Computer Vision Software

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Computer Vision Software

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Things to know about Computer Vision

What is Computer Vision?

Computer vision refers to the field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world. It combines techniques from image processing, machine learning, and deep learning to analyze and understand images and videos. This technology is widely used in various applications, including facial recognition, autonomous vehicles, and medical imaging, allowing machines to extract meaningful information from visual inputs. Advancements in computer vision are driven by the development of sophisticated algorithms and increased computational power. These developments enable systems to recognize patterns, track objects, and even understand scenes in real-time, enhancing their ability to interact with the environment effectively. As a result, computer vision providers play a crucial role in delivering innovative solutions across industries, improving efficiency and accuracy in tasks previously reliant on human visual interpretation.


How does Computer Vision work?

Computer vision operates by enabling machines to interpret and understand visual information from the world. This technology primarily relies on algorithms and models that process images or video frames, extracting meaningful data. The first step involves capturing visual input through cameras or sensors. Once the data is acquired, it undergoes preprocessing to enhance the quality and remove noise. Next, advanced techniques like machine learning and deep learning are employed to analyze patterns, recognize objects, and identify features. By leveraging vast datasets, computer vision systems continually improve their accuracy, allowing applications in various fields such as healthcare, automotive, and security.


What are the applications of Computer Vision?

1. Autonomous Vehicles
Computer vision plays a crucial role in self-driving technology. It enables vehicles to interpret their surroundings, recognizing objects such as pedestrians, traffic signs, and other vehicles. This capability is essential for safe navigation and decision-making in real-time.

2. Healthcare Diagnostics
In medical imaging, computer vision assists in analyzing images from MRIs, CT scans, and X-rays. It helps in detecting anomalies, monitoring disease progression, and enhancing diagnostic accuracy, which ultimately improves patient outcomes.

3. Retail Analytics
Retailers utilize computer vision for inventory management and customer behavior analysis. By monitoring foot traffic and analyzing shopping patterns, businesses can optimize store layouts and improve customer engagement strategies.

4. Facial Recognition
This technology is widely used for security and user authentication. Computer vision algorithms analyze facial features to identify individuals, ensuring secure access to devices and facilities while enhancing surveillance systems.

5. Agriculture Monitoring
Farmers adopt computer vision for precision agriculture. It allows them to assess crop health, monitor growth, and detect pest infestations through drone imagery and ground-based sensors, leading to better yield management.


What are the challenges in Computer Vision?

Challenges in computer vision arise from various factors that impact its effectiveness and accuracy. One significant issue is data quality. Training models require large datasets that are diverse and accurately annotated. Poor quality or biased data can lead to inaccurate predictions and reduce the model's reliability. Another challenge is real-time processing. Many applications need instant analysis of images or video streams, which demands high computational power and optimized algorithms. Furthermore, environmental variability can affect performance, as changes in lighting, angle, or obstructions can hinder object recognition and scene understanding. These challenges necessitate ongoing research and development to improve the robustness and applicability of computer vision technologies.


How is Computer Vision improving industries?

Computer vision technology is significantly enhancing various industries by enabling machines to interpret and process visual data. In healthcare, for instance, it aids in diagnostics by analyzing medical images, leading to faster and more accurate disease detection. Retail businesses are utilizing computer vision for inventory management and customer behavior analysis, optimizing their operations and improving the shopping experience. Furthermore, in manufacturing, this technology is employed for quality control, ensuring products meet specified standards through real-time visual inspections. The automotive sector benefits from computer vision in developing autonomous vehicles, allowing cars to perceive their surroundings and make informed decisions. Overall, computer vision is driving efficiency and innovation across multiple sectors, transforming how businesses operate.


Insights about the Computer Vision results above

Some interesting numbers and facts about your company results for Computer Vision

Country with most fitting companiesUnited States
Amount of fitting manufacturers7586
Amount of suitable service providers5705
Average amount of employees11-50
Oldest suiting company1993
Youngest suiting company2021

Geographic distribution of results





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Frequently asked questions (FAQ) about Computer Vision Companies

Some interesting questions that has been asked about the results you have just received for Computer Vision

Based on our calculations related technologies to Computer Vision are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Computer Vision are ml4vision

The most represented industries which are working in Computer Vision are IT, Software and Services, Other, Medical, Marketing Services, Electronics and Electrical engineering

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Computer Vision results by various countries

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