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Luxand
Alexandria, United States
B
11-50 Employees
2005
Key takeaway
Luxand specializes in artificial intelligence and biometric identification technologies, offering a comprehensive suite of tools for automatic face recognition and facial feature detection. Their products are utilized globally across various sectors, including security, banking, and entertainment, with recent enhancements for user authentication and security through their FaceSDK.
Reference
Core business
Luxand - Face Recognition, Face Detection and Facial Feature Detection Technologies
Sensible Vision Inc.
Cape Coral, United States
B
11-50 Employees
2005
Key takeaway
SensibleVision provides advanced face authentication solutions, utilizing both 3D and 2D technologies for fast and accurate identification in various challenging environments. Their innovative approach includes features like in-motion recognition and anti-spoofing, making it suitable for government, enterprise, and end-user applications.
Reference
Product
Technology — SensibleVision
AritaWeb Inc.
Irvine, United States
B
1-10 Employees
2015
Key takeaway
AritaWeb specializes in artificial intelligence solutions, including face recognition, utilizing advanced AI algorithms and deep learning to enhance accuracy and effectiveness in various environments. Their commitment to innovation aims to address transformational challenges in business and improve customer experiences through intelligent technologies.
Reference
Product
Face Recognition – Products – Software – Ai Solutions
AritaWeb's AI algorithms leverage deep learning and focus on analyzing and understanding broad visual aspects to analyze and tackle real-world situations
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Trueface
Santa Monica, United States
B
11-50 Employees
2014
Key takeaway
Trueface specializes in advanced face recognition technology, capable of performing quick 1 to 1 template comparisons in under 200 nanoseconds. Their solutions leverage machine learning and artificial intelligence to enhance security and intelligence across various environments.
Reference
Core business
Trueface | About Us
Trueface is the leading computer vision company that creates actionable data from existing camera feeds.
Paravision
San Francisco, United States
B
11-50 Employees
2013
Key takeaway
Paravision specializes in advanced facial recognition technology, offering AI software that ensures high accuracy and ethical development. Their solutions are designed for diverse applications, enhancing security and user experiences through trusted Vision AI.
Reference
Product
Computer Vision and Facial Recognition Software - Paravision
Paravision’s facial recognition enables comprehensive security and frictionless experiences across a wide range of face recognition applications.
ARA
Clearwater, United States
B
101-250 Employees
1991
Key takeaway
Adaptive Recognition specializes in developing intelligent software and imaging devices, with a strong focus on image analytics and OCR. Their advanced technology is integral to sectors like vehicle access and ID security, making it relevant for applications in face recognition.
Reference
Product
Adaptive Recognition | Image Capturing and Analytics
AI-based software and hardware components fo traffic and transport monitoring, access control, security, and other systems.
Mati
San Francisco, United States
B
101-250 Employees
2017
Key takeaway
MetaMap offers facial recognition software that allows biometrically verified users to authenticate using a selfie. This feature can be easily integrated into businesses' systems through their SDK or API, enhancing verification processes for onboarding and compliance.
Reference
Product
Face Recognition Software for Authentication - MetaMap
Allow biometrically verified users to authenticate with a selfie of their face. Easily integrate MetaMap's facial recognition software through our SDK or API.
Rank One Computing
Denver, United States
B
11-50 Employees
2015
Key takeaway
ROC specializes in face recognition technology, leveraging deep-learning AI to enhance security and efficiency. As a leading provider in multimodal biometrics and computer vision, ROC emphasizes ethically driven innovations that contribute to safety and convenience.
Reference
Core business
Rank One Computing: Face Recognition, Artificial Intelligence, Computer Vision
Face Recognition, Artificial Intelligence, and Computer Vision should be used to make the world safer, more secure and more convenient
Pro Vision Lab
Irvine, United States
B
11-50 Employees
-
Key takeaway
The company specializes in automated visual security applications and deep learning facial recognition, offering tailored solutions to meet specific business needs. Their expertise in real-time image processing, including facial recognition, positions them as a key player in recognition technologies.
Reference
Service
Expertise - Pro Vision Lab
We are an IT company with a team of computer vision experts and we've been focused on realtime image processing: object detection, facial recognition, ALPR recognition, loitering and automated video content analysis. We help companies that are looking for the best technical solutions in recognition technologies
Blue Line Technology
Fenton, United States
B
1-10 Employees
2013
Key takeaway
The company's "Glance Access" application, FirstLine, utilizes advanced facial recognition technology to proactively identify and validate authorized individuals, enhancing security and compliance with various regulations. This system effectively addresses the challenges posed by individuals with hidden faces or malicious intent.
Reference
Product
First Line Facial Recognition – FLFRS – Blue Line Technology
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
Faceplugin FaceRecognition SDK
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Face recognition for ID verification
software development, ecommerce, banking industry
FacePlugin is a leading provider of advanced identity verification solutions, leveraging cutting-edge technology in face recognition, liveness detection, and ID document recognition. Our comprehensive suite of software development kits (SDKs) empowers businesses across industries to seamlessly integrate robust identity verification capabilities into their applications and platforms. With our face recognition SDK, organizations can accurately and securely verify individuals' identities through facial biometrics, ensuring a high level of authentication and fraud prevention. Our liveness detection SDK adds an extra layer of security by verifying that the person presenting themselves is indeed live and not a static image or video. Additionally, our age and gender recognition SDK provides valuable demographic insights for personalized customer experiences and targeted marketing campaigns. At FacePlugin, we are committed to delivering reliable, scalable, and user-friendly solutions that meet the evolving needs of our clients in the digital age. Whether for financial services, e-commerce, healthcare, or any other sector requiring robust identity verification, our technology offers peace of mind and compliance assurance.
Use case
Face recognition for ID verification
software development, ecommerce, banking industry
FacePlugin is a leading provider of advanced identity verification solutions, leveraging cutting-edge technology in face recognition, liveness detection, and ID document recognition. Our comprehensive suite of software development kits (SDKs) empowers businesses across industries to seamlessly integrate robust identity verification capabilities into their applications and platforms. With our face recognition SDK, organizations can accurately and securely verify individuals' identities through facial biometrics, ensuring a high level of authentication and fraud prevention. Our liveness detection SDK adds an extra layer of security by verifying that the person presenting themselves is indeed live and not a static image or video. Additionally, our age and gender recognition SDK provides valuable demographic insights for personalized customer experiences and targeted marketing campaigns. At FacePlugin, we are committed to delivering reliable, scalable, and user-friendly solutions that meet the evolving needs of our clients in the digital age. Whether for financial services, e-commerce, healthcare, or any other sector requiring robust identity verification, our technology offers peace of mind and compliance assurance.
When exploring the face recognition industry in the United States, several key considerations are important. First, regulatory frameworks play a significant role, as various states have implemented laws governing data privacy and biometric data usage. For example, the California Consumer Privacy Act (CCPA) and Illinois Biometric Information Privacy Act (BIPA) set strict guidelines that companies must adhere to. Additionally, ethical concerns around surveillance and potential biases in algorithms are critical challenges that companies face, impacting public perception and acceptance of technology. Opportunities exist in sectors such as security, healthcare, and retail, where face recognition can enhance user experience and operational efficiency. The competitive landscape is marked by both established tech giants and innovative startups, creating a dynamic environment for advancements in technology. Moreover, as the global market for face recognition continues to expand, companies must remain aware of international regulations and standards, which may differ significantly from those in the U.S. Environmental concerns also arise, particularly regarding the energy consumption of data centers and the sustainability of hardware used for face recognition systems. Understanding these factors is essential for anyone looking to engage with the face recognition industry in the United States.
Some interesting numbers and facts about your company results for Face Recognition
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1071 |
| Amount of suitable service providers | 640 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2017 |
Some interesting questions that has been asked about the results you have just received for Face Recognition
What are related technologies to Face Recognition?
Based on our calculations related technologies to Face Recognition are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Face Recognition?
The most represented industries which are working in Face Recognition are IT, Software and Services, Other, Human Resources, Defense, Healthcare
How does ensun find these Face Recognition 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.
