The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
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.
Highlighted product
Product
Computer Vision for Technology Companies - viso.ai
Real-world computer vision solutions for tech companies, including object detection, recognition and tracking applications.
MCovision
France
A
1-10 Employees
-
Key takeaway
MCovision is a specialized Data Science consulting company that focuses on Computer Vision applications. They offer customized Machine and Deep Learning algorithms to enhance projects, ensuring qualitative and accurate data science solutions tailored for various industries.
Highlighted product
Core business
MCovision | Consulting & Expertise in Computer Vision
Mcovision is a Data Science consulting company specialized in Computer Vision
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.
Highlighted product
Core business
About us | CVision AI
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
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.
Highlighted product
Product
Computer Vision | QEF
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.
Highlighted product
Core business
Visaltium
Your Computer Vision Partner.
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.
Highlighted product
Product
Computer Vision - visionAI
Computer Vision allows a computer to read its surroundings and identify things, similar to how human vision perceives things.
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.
Highlighted product
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.
K | Lens
Saarbrücken, Germany
A
1-10 Employees
2016
Key takeaway
K|Lens specializes in customizable machine vision solutions, particularly highlighting their AI-powered Multiview technology that enhances optical inspection for inline quality control. Their expertise in sensor technology and image processing allows manufacturers to significantly improve efficiency and accuracy in production.
Highlighted product
Service
The Machine Vision Experts - K|Lens
K|Lens provides customizable machine vision solutions, including AI-powered Multiview, for robust, fast and traceable optical inspection. Upgrade your quality control today!
The Disrupt Labs
Karachi Division, Pakistan
E
11-50 Employees
2020
Key takeaway
The Disrupt Labs specializes in computer vision solutions that enhance visual inspection and quality control for manufacturing, warehouses, and outdoor sites. Their Visual AI Inspection systems utilize advanced AI to monitor production, detect defects in real-time, and improve overall safety and efficiency.
Highlighted product
Core business
TheDisruptLabs
Industry-tailored computer vision solutions augment human vision by extracting actionable insights, reducing man-hours, improving quality, and increasing efficiency.
OneVision+
Milan, Italy
B
11-50 Employees
-
Key takeaway
OneVision leverages advanced Apple processors and innovative sensors, developed in collaboration with the Computer Vision Department of the Milan Polytechnic, to enhance retail monitoring and optimize store layouts. Their focus on computer vision technology positions them as a key player in transforming how businesses manage and analyze their environments.
Highlighted product
Core business
OneVision+ | Computer Vision For CRM
Technologies which have been searched by others and may be interesting for you:
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.
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.
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.
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.
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.
Some interesting numbers and facts about your company results for Computer Vision
Country with most fitting companies | United States |
Amount of fitting manufacturers | 5889 |
Amount of suitable service providers | 4702 |
Average amount of employees | 11-50 |
Oldest suiting company | 1993 |
Youngest suiting company | 2021 |
20%
40%
60%
80%
Some interesting questions that has been asked about the results you have just received for Computer Vision
What are related technologies to Computer Vision?
Based on our calculations related technologies to Computer Vision are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Computer Vision?
Start-Ups who are working in Computer Vision are ml4vision, The Disrupt Labs
Which industries are mostly working on Computer Vision?
The most represented industries which are working in Computer Vision are IT, Software and Services, Other, Medical, Marketing Services, Media and Entertainment
How does ensun find these Computer Vision Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.