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Chengdu Tommi Technology
Chengdu, China
D
51-100 Employees
-
Key takeaway
The company specializes in providing stable and cost-effective face recognition solutions, including dedicated face recognition devices and related security products. Their offerings are widely used in various public places and have garnered significant sales, highlighting their expertise in this technology.
Highlighted product
Product
Face recognition modules – TOMMI
RecFaces
Stupino, Russia
C
- Employees
2014
Key takeaway
RecFaces specializes in facial recognition technology, offering a range of biometric products designed for reliable identity verification. Their solutions, implemented across various regions, include ready-made integrations with systems like video surveillance and access control, making it easy for businesses to enhance security and streamline operations.
Highlighted product
Core business
Biometric identification, development of biometric systems — RecFaces
RecFaces: development of multimodal biometric identification solutions adapted to the specifics, relevant and future needs of banks, transport facilities, medical facilities and other industries.
Betaface
Munich, Germany
A
1-10 Employees
-
Key takeaway
Betaface offers a comprehensive facial recognition suite that includes advanced features such as face detection, identification, verification, and biometric measurements. Their algorithms are designed to deliver accurate results even in low-quality images and videos, making it a robust solution for various face analysis tasks.
Highlighted product
Product
Products | Betaface
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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.
Highlighted product
Core business
Luxand - Face Recognition, Face Detection and Facial Feature Detection Technologies
CamfyVision Innovations
Bengaluru, India
D
11-50 Employees
2017
Key takeaway
CamfyVision Innovations is a prominent facial recognition company that offers a range of AI-driven video analytics solutions, highlighting their expertise in developing customizable and high-performance products tailored to various sectors.
Highlighted product
Service
Facial Recognition Solution - Products
FaceID Biometrics
Bolton, United Kingdom
A
1-10 Employees
-
Key takeaway
The company, Hanvon, is dedicated to advancing its FaceGO technology, a pioneering facial recognition system with over 100,000 installations globally. They collaborate with innovative software companies to enhance and develop new applications for face recognition across various sectors.
Highlighted product
Core business
Face ID Biometrics | Face Recognition Solutions
Corsight AI
Tel-Aviv, Israel
B
11-50 Employees
2019
Key takeaway
Corsight AI is a leader in facial recognition technology, offering solutions that prioritize speed, accuracy, and privacy. Their advanced systems are designed to perform effectively in challenging conditions, making them a trusted choice for organizations seeking to enhance security while protecting personal privacy.
Highlighted product
Core business
Face Recognition, Facial Recognition System - Corsight
Corsight - The World's leading facial recognition company. Offers cutting-edge facial recognition system to enhance security and productivity. With real-time identification, you'll get remarkable precision in any situation. Request a free demo now!
Biometrics Identity Verification Face Recognition ID/Passport Recognition - FaceOnLive
Canada
A
1-10 Employees
2021
Key takeaway
FaceOnLive specializes in touchless biometric authentication and ID verification, featuring advanced facial recognition and liveness detection technologies. Their algorithms are highly ranked, ensuring robust security solutions that can seamlessly integrate with existing systems.
Highlighted product
Core business
Biometrics Authentication & ID Verification - FaceOnLive
FaceOnLive is an Touchless Biometrics Authentication, ID verification solution provider offering robust security solutions with advanced facial recognition
Biometric Vision Facial Recognition API
-
1-10 Employees
2019
Key takeaway
The company offers a leading facial recognition system that ensures security and privacy, making it an effective tool for identity verification and secure access. Their next-gen algorithms and developer-friendly API facilitate easy integration, enhancing the performance of facial recognition applications.
Highlighted product
Core business
Facial Recognition Software Australia - Biometric Vision
Integrate with Biometric Vision's next generation AI-powered algorithm in minutes and supercharge your facial recognition apps.
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.
Highlighted product
Product
Technology — SensibleVision
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.
Face recognition is a technology that identifies or verifies a person’s identity using their facial features. It works by capturing an image of a face and comparing it to a database of known faces. The system analyzes key attributes, such as the distance between the eyes, the shape of the jawline, and other distinctive facial characteristics. This technology is widely used in security systems, social media, and mobile devices for unlocking screens. Its applications extend to various fields, including law enforcement, retail analytics, and access control, enhancing both security and user experience in numerous environments.
Face recognition technology operates using a series of complex algorithms to identify and verify individuals based on their facial features. Initially, the system captures an image or video of a face, then it detects facial landmarks such as the distance between the eyes, the shape of the jawline, and the contour of the cheeks. These features are converted into a mathematical representation, often referred to as a faceprint. Once the faceprint is generated, it is compared to a database of known faces using advanced machine learning techniques. The technology analyzes various metrics, such as similarity scores, to determine if there is a match. This process can occur in real-time, allowing for quick identification in various applications, including security, smartphones, and customer interactions. The accuracy of face recognition systems continues to improve with advancements in artificial intelligence and deep learning.
1. Enhanced Security
Face recognition technology significantly boosts security measures. It allows for quick identification of individuals in various environments, such as public spaces, airports, and corporate offices. This real-time recognition helps in preventing unauthorized access and enhances overall safety.
2. Improved User Experience
Utilizing face recognition can streamline user interactions. For instance, it enables seamless authentication in smartphones and payment systems, allowing users to access their devices or complete transactions with minimal effort. This convenience increases customer satisfaction and engagement.
3. Efficient Monitoring
Face recognition systems are effective for monitoring large crowds. They can identify persons of interest quickly, making them invaluable in public safety scenarios. This technology aids law enforcement in tracking down suspects and enhancing community safety.
4. Data-Driven Insights
The use of face recognition provides valuable data analytics. Organizations can gather insights about customer behavior, preferences, and demographics. This information can inform marketing strategies and improve service offerings, ultimately driving business growth.
Privacy concerns related to face recognition technology primarily stem from the potential for misuse and unauthorized surveillance. As this technology captures and analyzes facial features, it can lead to the tracking of individuals without their consent. This raises significant ethical questions about personal privacy and autonomy. Moreover, the collection and storage of biometric data can lead to data breaches, exposing sensitive information. Instances of bias in face recognition algorithms also heighten concerns, as these systems may misidentify individuals, particularly among marginalized groups. Thus, the implications of face recognition extend beyond mere technology, impacting societal norms and individual rights.
The accuracy of face recognition technology can vary significantly based on several factors, including the algorithm used, the quality of the images, and the conditions under which the recognition takes place. Modern systems can achieve high accuracy rates, often exceeding 95%, especially in controlled environments with good lighting and clear images. However, accuracy may decrease in less optimal conditions, such as low light or when faces are partially obscured. Moreover, advancements in artificial intelligence and machine learning continue to enhance the reliability of these systems. The integration of deep learning techniques has allowed for better facial feature extraction and matching, resulting in improved performance over older methods. Despite these advancements, challenges remain, particularly regarding demographic biases, which can affect accuracy across different age, gender, and ethnic groups.
Some interesting numbers and facts about your company results for Face Recognition
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 3967 |
| Amount of suitable service providers | 2552 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2005 |
| Youngest suiting company | 2021 |
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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
Who are Start-Ups in the field of Face Recognition?
Start-Ups who are working in Face Recognition are Biometrics Identity Verification Face Recognition ID/Passport Recognition - FaceOnLive
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, Electronics and Electrical engineering
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.
