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Chengdu City, China
51-100 Employees
We are the source supplier of face recognition solutions. We provide stable, reliable and cost-effective face recognition equipment for many years. We supply stable, reliable and cost-effective face recognition related security products for a long time. The company’s main products include face recognition device, smart security devices, CCTV products, temperature instrument, etc., which are widely used in communities, schools, hospitals, factories, construction sites, office buildings, hotels, public transport terminals and other public places. In 2020, the sales volume of related products of the company will exceed 15 million US dollars. Products are also exported to the United States, the Middle East, Japan, South Korea, Southeast Asia, with FCC, CE and other certificitons. Welcome customers to choose our products, Tommi technology will serve you wholeheartedly. Relying on a strong technical R&D team, we provide customers with complete platform and systematic solutions.
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Tommi P77C face recognition device
... Tommi P75 face recognition access control attendance ...
London, United Kingdom
1-10 Employees
2021
We are also happy to help you integrate Punch-inwith your existing HR system via event-driven integrations. Punch-in is a great tool for managing shifts and time off. Also, we are always here to help if you need it! Having adopted Punch-In has helped us make sure we are compliant and has increased our cost tracking capabilities as well as financial predictability. Punch-in documentation pages will guide you through the setup and usage of your environment. You can opt to use Punch-in as a central HR system for your company. We offer contract management, time off, payroll and more. We offer granular control over shifts programming, which will help organize your employees' time and make sure their shifts are as balanced as possible and follow at best all of their contractual constraints.
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Face recognition clocking and attendance tool
... Face recognition based clocking and time management solution tailored for small and medium businesses. If you need and easy to implement solution, on a budget, with no lockups, then talk to us today! ...
Chennai, India
11-50 Employees
2017
FaceTagr is a leading provider of advanced security solutions with a global presence. At FaceTagr, we understand that every client has unique needs when it comes to deploying security solutions. Netran meaning "Eye" is a specialized, highly secure real-time face recognition system for the armed forces, featuring multi-camera support and local processing. Deployed with the Indian Army, Netran delivers unparalleled security and accuracy in critical operations. KnightAI offers advanced surveillance and security solutions, featuring real-time face and object recognition on CCTV for intrusion alerts, perimeter watch, and blacklist identification. FaceTyck offers portable, real-time face recognition on Android devices, performing on-the-edge processing without internet connectivity. TailGuard delivers advanced anti-tailgating solutions, leveraging face recognition through CCTV. From our headquarters in Chennai, India, we offer customized security solutions to clients around the world through our partners.
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Trusted Face Recognition
... FaceTagr is a top ranking NIST benchmarked trusted face recognition engine. FaceTagr is deployed globally by organizations for Security, Access Control and Distributed Workforce Verification. ...
San Jose, Philippines
11-50 Employees
2019
Our core capability in Edge-AI and Machine Vision solve the problem of running computationally intensive deep learning (AI) without the need for expensive GPUs or the Cloud. Our cloud and on-premises services are certified to be ISO 27001 and SOC 2 compliant, we give our customers peace of mind. We are externally GDPR certified and PDPA compliant. Our suite of face-processing products work by using deep learning-based technology to detect, recognize and compare facial images.Unlike other Face Recognition solutions, Seventh Sense also offers Liveness/Face Anti-Spoofing capability from a single photograph greatly enhancing user experience. Seventh Sense' expertise enables the optimization of complex AI algorithms for low-cost, low-compute, low-power, edge hardware devices.Unlike traditional approaches to AI, Seventh Sense's core hardware optimization, techniques allow the execution of even the most complex AI algorithms on devices without GPUs.
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World-class competencyin Face Recognition (FR)
... With its world-class Face Recognition technology. ...
Oxford, United Kingdom
11-50 Employees
2022
ClientScan captures a video stream from a standard video camera and performs real-time face detection. ClientScan captures a video stream from a standard video camera and performs real-time face detection. ClientScan uses Convolution Neural Networks to perform accurate and high speed matching - even for very large datasets of > 10,000 images.
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ClientScan - Next Generation Face Recognition System
... Face Recognition System. Identify. Validate. Safeguard. ...
Sydney, Australia
11-50 Employees
2019
Xailient’s computer vision AI for Edge devices enables innovators to bring their visions to life. Xailient’s software products run on exceptionally low power and make embedded Edge Computer Vision accurate, real-time, and cost-effective, solving the most difficult problems in the Enterprise CV lifecycle. Xailient solves the hardest problems in bringing AI to Edge devices. In February 2020, Xailient launched their MVP and used it to work with two customers as pilot projects, one in retail automation, and the other in agriculture monitoring technology. This is how Xailient arrived at the exciting new chapter of OrchestraitTM. Xailient’s software products empower companies to bring AI computer vision products to market faster and with less investment to compete in the emerging IoT world. Xailient announced the world’s most power-efficient Face Recognition AI, which runs on the IMX500, the world’s first intelligent vision sensor with Edge AI processing capability from Sony. Xailient’s Face Recognition enables high-speed Edge AI processing with low-power consumption using Sony’s IMX500 – a chip so small it can fit on the tip of your finger.
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Face Recognition
... Xailient’s Face Recognition technology allows you to recognize a person's face, so you’ll be able to see who’s visiting. ...
New Delhi, India
51-100 Employees
1989
FaceChk as the name suggests is an intelligence system that can read and identify Face & retina. FaceChk is an organization working towards a contactless (or touchless) system. Facechk’s unique face recognition technology leverages deep learning & AI incorporating several custom algorithms to provide high accuracy and portability across a variety of inexpensive devices such as low-cost cameras, smartphones & NPU (Neural Processing Unit) devices. Facechk a brand under EI Networks Pvt Ltd. We are proudly making indigenous products in the space of AI & Deep Learning. FaceChk is here to help the organization adopt this change, we created a facial recognition biometrics system that is used for attendance and access control. FaceChk is a face recognition software application for automated attendance marking. FaceChk is a powerful high-performance and scalable software and can be deployed effortlessly and effectively.
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FACE RECOGNITION SOLUTIONS
... Biometric Face Recognition System - FaceChk ...
Basingstoke and Deane, United Kingdom
11-50 Employees
2020
EntroStore by Remsdaq offers online access control solutions, including software, door controllers, keypads, card readers, biometric and facial recognition devices. Additionally, we provide an access control system with CPNI/NPSA approval. Internationally, we operate through an approved network of business partners who supply and support our products locally. We would like to express our sincere appreciation for your service to us as one of our most reliable regular suppliers. Remsdaq have provided the highest quality products with even better customer service and are quick to resolve any issues that arise.
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Hikvision DS-K1T671TM-3XF Ultra Face Recognition Terminal
... Hikvision Ultra Face Recognition Terminal | DS-K1T671TM-3XF | EntroStore – Remsdaq Entrostore building access control ...
Perm, Russia
11-50 Employees
2008
Eocortex is an innovation company on the market of IP video surveillance, exporting to 85 countries around the world. Eocortex is an innovation company founded in 2008. Eocortex is a developer of the hardware and software solutions for IP video surveillance systems. Eocortex develops software products for IP video surveillance systems. Since 2012, the Eocortex-based systems can be operated via any browser. In the same year, Eocortex was included in the trio of the fastest-growing enterprises according to the TekhUspekh national ranking of fast-evolving high-technology companies. The Cross-Camera Tracking by Eocortex was awarded the All-Over-IP 2016 award. Now Eocortex software is used in 50 countries of the world.
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Face Recognition Complete
... Eocortex Face Recognition Software used to search for a face in the stream of people of any density, as well as to determine people´s gender and age. Supports unlimited database. ...
Kowloon, China
1-10 Employees
2016
We are devoted to develop a strong WAMA ecosystem in which all participants are synchronized in footsteps and are moving ahead in the correct direction. WAMA is a young company but the management team is not new in the field. We have strong expertise in product development, channel relationship management and brand building. WAMA possesses a well experienced R&D team who works closely with leading technology providers in the field. We always deliver professional and cost-effective video surveillance solutions by employing state-of-the-art technologies much quicker than others in the marketplace. We strive to deliver prompt and accurate responses in a highly efficient and cost-effective manner. With the acute shortage of caregivers in hospitals and elderly centres, there is a high risk of elderly people with dementia leaving the facilities unattended, causing harm and danger to them. WAMA offers a new smart anti-wandering solution using state-of-the-art face recognition technology.
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Featured
WAMA Technology Ltd | Video Surveillance | Face Recognition | Artificial Intelligence | Access Control
... WAMA is a technology company that develops smart security solutions including A.I. video surveillance, face recognition, access control, etc ...
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 Face Recognition
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 608 |
| Amount of suitable service providers | 328 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1989 |
| Youngest suiting company | 2022 |
Face recognition is a sophisticated biometric technology that processes and identifies human faces from images or video streams, leveraging advanced algorithms and machine learning techniques. This technology analyzes the unique features and geometry of a face, such as the distance between the eyes, the shape of the cheekbones, and the contour of the lips, to create a digital facial signature. This signature is then compared against a database of known faces to find a match or to add a new entry if the face is unrecognized. The impact of face recognition within various industries is profound, offering enhanced security measures by enabling secure, keyless access to devices and facilities, and streamlining identity verification processes. In law enforcement, it aids in identifying suspects by matching facial data against criminal databases. In the retail sector, it personalizes customer experiences by recognizing returning customers and tailoring services to their preferences. Additionally, its integration into social media platforms for photo tagging and in public safety systems for finding missing persons demonstrates its versatility. However, the technology also raises significant privacy and ethical concerns, prompting discussions about consent, data protection, and the accuracy of face recognition systems across different demographics. Despite these challenges, face recognition continues to evolve, promising even more innovative applications across diverse fields.
1. Enhanced Security
Face recognition technology provides a level of security that is difficult to breach compared to traditional methods like passwords or keycards. By using unique facial features to verify identity, it significantly reduces the risk of unauthorized access.
2. Convenience
This technology streamlines the verification process, offering a seamless experience for users. There's no need to remember passwords or carry physical tokens; access can be granted through a quick facial scan, enhancing user convenience and efficiency.
3. Non-contact Process
In today’s health-conscious world, face recognition offers a significant advantage by being a non-contact method of identification. This reduces the spread of germs and viruses, making it a safer option for both personal and public spaces.
4. Speed and Accuracy
Face recognition systems can quickly process and verify identities with high accuracy. This efficiency is crucial in scenarios where time is of the essence, such as during emergency evacuations or in high-traffic areas.
While evaluating the different suppliers make sure to check the following criteria:
1. Accuracy and Reliability
Ensure the supplier's technology consistently produces accurate results in various lighting conditions and angles, minimizing false positives and negatives.
2. Speed of Recognition
The system should be able to quickly process and recognize faces in real-time, ensuring a seamless user experience.
3. Scalability
Check if the solution can easily scale to accommodate a growing number of users or an expanding database of faces.
4. Data Security
The supplier must adhere to stringent data protection and privacy regulations, ensuring user data is encrypted and securely stored.
5. Integration Capabilities
The technology should be compatible with existing systems and easily integrate with various platforms and devices.
6. Customization Options
Look for suppliers that offer customizable solutions to meet specific requirements and use cases.
7. Support and Maintenance
Assess the level of technical support and maintenance services provided to address any issues promptly.
Face recognition technology has revolutionized security measures in the corporate sector, allowing businesses to enhance the safety of their premises. By integrating this technology into security systems, companies can ensure that only authorized personnel gain access to sensitive areas, significantly reducing the risk of unauthorized access and potential security breaches. In the retail industry, face recognition is employed to offer personalized shopping experiences. Retailers use this technology to identify returning customers, analyze their shopping habits, and provide tailored recommendations or promotions. This not only improves customer satisfaction but also increases sales by making shopping more engaging and personalized. The banking and finance sector utilizes face recognition to streamline customer identification processes. This technology enables banks to offer secure and convenient services, such as account access and transaction authorization, by verifying customers' identities using their facial features. This reduces fraud and enhances the customer experience by making banking transactions quicker and more secure. Event management companies leverage face recognition for efficient attendee management. By using this technology to verify and track attendees, organizers can automate entry processes, enhance security by preventing unauthorized access, and gather valuable data on attendee engagement and behavior, leading to better event planning and execution.
Face recognition technology has advanced significantly, achieving a Technology Readiness Level (TRL) of 9, which indicates that it is fully mature and has been successfully deployed in operational environments. This high TRL is attributed to the convergence of several technical advancements. Firstly, improvements in machine learning algorithms, especially deep learning, have greatly enhanced the accuracy and speed of face recognition systems, enabling them to identify individuals with high precision even in varied lighting and angles. Secondly, the vast amounts of data available for training these systems have bolstered their reliability and robustness, allowing for continuous improvement in recognition capabilities. Additionally, advancements in hardware, such as high-resolution cameras and powerful computing resources, have supported the complex computational demands of face recognition technologies. The integration of these technologies into consumer electronics and security systems worldwide further underscores their operational maturity. The culmination of these technical progresses has facilitated the widespread adoption of face recognition in a variety of applications, from smartphone security to airport customs checks, signifying its attainment of the highest TRL.
In the short term, face recognition technology is poised to become more integrated into everyday devices and applications, enhancing security and user experience. Developments are focused on improving accuracy in diverse conditions, such as varying lighting and angles, by employing more sophisticated algorithms and machine learning models. This phase also emphasizes enhancing privacy safeguards to address growing concerns over data protection. Mid-term advancements in face recognition are expected to delve into seamless integration with augmented reality (AR) and virtual reality (VR), offering innovative interfaces for digital interaction. This period will likely witness the technology's expansion beyond security, venturing into personalized advertising, healthcare for patient identification, and even in educational settings for attendance and engagement tracking. Efforts to minimize biases in face recognition algorithms will also be a significant focus, aiming for equitable technology accessible to all demographics. Looking at the long term, we anticipate groundbreaking strides towards emotion and intent recognition, enabling devices to interpret user moods and intentions for a more intuitive user experience. Such capabilities could revolutionize customer service, mental health monitoring, and even law enforcement. Additionally, the integration of quantum computing could vastly increase processing speeds and accuracy, making face recognition technology near-instantaneous and more reliable than ever. This era will likely redefine human-computer interaction, marking a new chapter in digital identity verification and personalized technology interaction.
