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France
1-10 Employees
MCovision is a Data Science consulting company specialized in Computer Vision applications. Based on a strategic roadmap designed and validated by our experts, we implement for your project, customized Machine and Deep Learning algorithms. Beyond passion, we daily work at Mcovision to make qualitative and accurate Data Science, that should be understandable for our customers.
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Consulting & Expertise in Computer Vision
... Mcovision is a Data Science consulting company specialized in Computer Vision ...
New York, United States
11-50 Employees
2011
A non-profit organization that fosters and supports research in all aspects of computer vision. ICCV 2023: October 2nd – 6th, Paris, France. WACV 2024: January 3rd – 7th, Waikoloa Village, Hawaii. CVPR 2024: June 17th – 21st, Seattle, Washington. Three motions were considered at the June 2023 PAMI-TC meeting held at CVPR.
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Computer Vision Awards – The Computer Vision Foundation
... Computer Vision Awards – The Computer Vision ...
Medford, United States
1-10 Employees
2016
Our products and services add value at all points in the video analytics pipeline, from acquisition to annotation to AI-based automation. How can we deploy the algorithms we develop so our customers can use them easily? While we continue to improve these products, our focus remains on our customers and their unique needs, helping them get the most out of practical applications of computer vision. Whether you have questions about our products, or have a lot of video and are unsure about how to analyze it, we've got your back. CVision AI develops innovative video analytics products that harness the power of computer vision and artificial intelligence. Founded in 2016, our business is focused on helping our customers benefit from the latest advances in computer vision technology.
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Computer Vision Algorithms
... Computer Vision Algorithms | CVision ...
Poland
51-100 Employees
2012
We provide solution-oriented development teams delivering deep expertise and quality management throughout your software project: from idea shaping to system maintenance. Exposit has helped various companies such as Apollon, GAP, Polygran, Disys, Refunite, MedVision guide their ideas to market.
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Computer Vision Development Services
... Looking for professional computer vision software development services or advanced computer vision video analytics tools? Check out our cutting-edge vision computer monitoring software for enhanced surveillance and data-driven insights. ...
Menlo Park, United States
1-10 Employees
2013
Sension builds on the state of the art in face tracking to locate up to 100 landmarks in a user’s face. Sension machine learns what it means to be engaged across the internal shape parameters of the face, giving us super accurate user engagement scores and analytical insights into the content users are interacting with in real-time. While Sension’s computer vision technology has made significant strides in improving user engagement across various industries, it has also garnered interest in the online betting and gambling sector. By integrating Sension’s facial expression and gaze-tracking technology, online betting and gambling platforms can create a more secure environment for users. The integration of Sension’s technology not only enhances security measures but also allows for a more personalized user experience, catering to the individual preferences and betting habits of each user. Sension, as part of GAIA, will continue to develop our education engagement technology solutions with all our current and new customers. Combining our state-of-the-art pupil tracking with 3D pose information extracted from our face tracker results in gaze tracking, allowing us to determine what quadrant of a screen a user is looking at. In the Netherlands, the CRUKS omzeilen or bypassing the CRUKS register is a growing concern for operators seeking to maintain a safe and secure gaming environment for their users.
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Sension: CRUKS Computer Vision Technology
... Sension: CRUKS Computer Vision ...
Schaffhausen, Switzerland
11-50 Employees
2017
Viso Suite is an end-to-end platform that provides a way to skip writing code from scratch and avoid the hassle of integrating cross-platform AI models, hardware, and software. We developed visual programming to make building highly custom applications easy and intuitive, helping overcome the pain of manually writing and maintaining code in repositories. Today, Viso is the fastest-growing computer vision infrastructure startup. We are backed by Accel, one of the world’s largest VC investors that has invested in legendary companies worldwide, including Facebook, Slack, and Dropbox. Our AI application platform Viso Suite helps global companies, Fortune 500, and state-owned organizations to deliver all the AI vision applications they need today and in the time to come. We are fortunate to partner with some of the world’s best technology companies, including PwC, A2A, Samsung, Intel, HP Enterprise, DXC Technology, Amazon AWS, and NVIDIA. The AI tech company viso.ai AG is headquartered in Switzerland. With Viso Suite, we can build our computer vision applications and put them to use within 2 weeks.
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Build Computer Vision applications 10x faster
... Use low-code programming to build and maintain Computer Vision Applications. Use building-blocks and templates to build AI vision systems. ...
New York, United States
1-10 Employees
2019
At inferdo, we pride ourselves in our ability to offer state-of-the-art, pre-trained deep learning models, but also our ability to efficiently serve them at scale. Simply provide an image URL to our API and we'll handle the rest.
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inferdo - Computer Vision API
... -trained Computer Vision API models to moderate content, classify image, detect text, detect objects, and more. ...
Montfoort, Netherlands
11-50 Employees
1993
We ontwikkelen voortdurend de meest geavanceerde technologie, zodat we constant gemotiveerd en alert blijven en grenzen verleggen. QEF ontwikkelt hyperintelligente camera controle systemen voor computer vision applicaties. QEF ontwikkelt geavanceerde sorteerlijnen voor onder andere de mailing industrie en bibliotheken. QEF ontwikkelt zeer innovatieve computer vision systemen voor de foodsector. QEF ontwikkelt maatwerk elektronica oplossingen: van idee tot high volume assemblage van een compleet eindproduct. QEF electronics ontwikkelde voor E&P Hydraulics innovatieve oplossingen voor hun professionele levelsystemen voor campers als voor de caravans. De IntelliModule is een camera systeem en een versterking van de CE-gecertificeerd IntelliMatch. Ook in de lockersystemen van Ubilock zit hoogwaardige elektronica van QEF verwerkt.
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Computer Vision
... Computer Vision | ...
United Kingdom
1-10 Employees
We are technical specialists in human face analysis - including detection, tracking, landmarking, identification and description. Working with organizations of all sizes, we are excited by new technologies, and enjoy engaging with innovators and being challenged by projects. Following the correspondence associated with your enquiry, we will only contact you if we believe we can offer something with specific relevance to you or your business.
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Computer Vision
... .com – Computer Vision Consultancy and Development ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Computer Vision
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1652 |
| Amount of suitable service providers | 1187 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1993 |
| Youngest suiting company | 2019 |
Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs, and take actions or make recommendations based on that information. Fundamentally, it attempts to replicate the complexity of human vision by acquiring, processing, analyzing, and understanding visual data. Through advanced algorithms and data processing techniques, computer vision systems can identify patterns, shapes, and objects, translating visuals into decision-making insights. This technology is pivotal across various sectors, including autonomous vehicles, where it powers real-time navigation and obstacle avoidance; in healthcare, it facilitates diagnostic accuracy through medical image analysis; in retail, it enhances customer experiences with virtual try-ons and inventory management through automated visual inspections. The impact of computer vision is profound, radically transforming operational efficiencies, safety protocols, and user experiences by providing systems the ability to interpret and understand the visual world. Its continuous evolution is further propelled by advancements in machine learning and neural networks, expanding its capabilities and applications. As computer vision systems become more sophisticated, their role in automating tasks, enhancing decision-making, and fostering innovations across industries becomes increasingly significant, marking a revolutionary shift in how machines interact with the visual world.
1. Accuracy and Speed
Computer vision systems process and analyze images and videos much faster than human beings, significantly reducing the time required for image analysis tasks. This high-speed processing combined with the ability to learn and improve over time ensures unparalleled accuracy in tasks like defect detection in manufacturing or facial recognition in security systems.
2. Consistency
Unlike human observers, who may experience fatigue or inconsistency, computer vision offers the advantage of consistent performance over extended periods. This consistency is particularly beneficial in quality control processes in manufacturing where precision and uniformity are critical.
3. Cost Efficiency
Implementing computer vision can lead to substantial cost savings for businesses. By automating tasks that traditionally require manual labor, companies can reduce workforce expenses and minimize human error, thereby decreasing waste and increasing productivity.
4. Enhanced Capabilities
Computer vision systems can operate in environments that are challenging or hazardous for humans. They can process images in a wide range of conditions, including low light or through obstacles, thereby extending the capabilities of surveillance and inspection systems beyond human limitations.
While evaluating the different suppliers make sure to check the following criteria:
1. Experience and Expertise
Ensure the supplier has a strong background in computer vision technology, with a portfolio of successful projects.
2. Technology Stack
Review the technologies and frameworks they use. It's crucial they utilize the latest, most efficient computer vision algorithms and tools.
3. Customization Capabilities
The supplier should be able to tailor their solutions to fit your specific needs and requirements.
4. Scalability
Consider whether their solutions can scale according to your project's growing needs.
5. Support and Maintenance
Check for the availability of robust support and maintenance services to address any potential issues swiftly.
6. Cost Effectiveness
Assess their pricing structure to ensure it aligns with your budget without compromising on the quality of the solution.
7. Privacy and Security
Make sure they adhere to high standards of data protection and privacy laws, a critical aspect for computer vision applications.
Computer vision technology is transforming how businesses operate by automating processes, enhancing accuracy, and providing insights that were previously unattainable. In the manufacturing sector, computer vision is pivotal for quality control. Cameras and AI algorithms analyze products on the assembly line in real-time, identifying defects or anomalies that deviate from the standard. This application significantly reduces error rates and improves product consistency. In the retail industry, computer vision facilitates inventory management through automated stock monitoring. By scanning shelves using image recognition, the system can accurately track product availability, predict stockouts, and even guide restocking processes. This capability streamlines operations and optimizes supply chain efficiency. The healthcare field benefits from computer vision in diagnostic procedures. AI-driven image analysis supports radiologists by providing preliminary assessments of X-rays, MRIs, and CT scans, highlighting areas of concern. This technology not only speeds up diagnosis but also enhances accuracy, assisting in the early detection of diseases. Lastly, in the agricultural sector, computer vision aids in crop monitoring and management. By analyzing drone or satellite images, farmers can assess crop health, estimate yields, and detect pest infestations. This information enables more precise farming techniques, improving yield and sustainability. Each of these use cases demonstrates the versatility and transformative potential of computer vision across different B2B contexts, highlighting its role in driving efficiency, accuracy, and innovation.
Computer vision technology has advanced significantly over the past decade, reaching a Technology Readiness Level (TRL) of 9 in many applications, a testament to its maturity and widespread operational use. This high TRL is justified by the technology's extensive integration into various sectors, including automotive for autonomous driving, healthcare for diagnostic imaging, retail for customer behavior analysis, and security for surveillance systems. The progression to TRL 9 is underpinned by technical advancements such as deep learning algorithms, which have drastically improved the accuracy and reliability of image recognition and analysis. These algorithms leverage vast datasets to train models, enabling them to distinguish and classify objects with remarkable precision. Furthermore, improvements in GPU technology have accelerated processing times, allowing for real-time analysis and decision-making. The convergence of these technical enhancements has facilitated the deployment of computer vision systems in operational environments, demonstrating their capability to perform consistently under expected conditions. Despite reaching a high TRL, ongoing research aims to address challenges like occlusion and varying lighting conditions, indicating that the field continues to evolve, driven by technical innovation.
In the Short-Term, advancements in computer vision are expected to focus on enhancing machine learning algorithms for better accuracy and speed in image recognition. This will likely include improvements in real-time analytics, enabling applications such as autonomous vehicles and interactive retail experiences to process visual data more efficiently. The integration of computer vision with IoT devices will enhance smart home and city functionalities, making daily operations more seamless. The Mid-Term phase will witness the expansion of computer vision technologies into more sophisticated healthcare diagnostics, where AI-driven image analysis will play a crucial role in identifying and diagnosing diseases with higher precision. Augmented reality (AR) applications will also see significant enhancements, offering more immersive and interactive experiences in education, gaming, and professional training. Furthermore, we can anticipate the development of more advanced facial recognition systems, improving security measures across various sectors. Looking into the Long-Term, computer vision is set to revolutionize the interface between humans and machines, leading to the advent of highly intuitive AI assistants capable of interpreting complex visual cues such as emotions and gestures. This era will also likely see the maturation of ethical frameworks and regulations around privacy and data security in computer vision applications. Additionally, breakthroughs in quantum computing could unlock unprecedented computational power, drastically improving the capabilities of computer vision systems in processing and understanding visual data on a global scale.
