Face Recognition Access Control System
Chanelle Glugla
Face recognition access control refers to technology that allows a person to use their face to unlock doors. A building can use face recognition hardware and software, in order to control access to certain parts of the building. This is an alternative to using a key, key card, or key fob to control and restrict access to buildings.
Many face recognition systems use your Iris for recognizing the person. Every person has a complete unique Iris structure. Specialized cameras can take a high resolution scan of the Iris and compare it to a database of registered iris scans. This approach is accurate but has major drawbacks:
Our company, Swiftlane, is a face recognition access control provider based out of San Francisco. Swiftlane provides touchless entry systems for commercial and apartment buildings. Swiftlane was founded to create a safer and more convenient form of access control to buildings.
Swiftlane is designed from the ground up to be a simple to use modern system. An admin can learn how to manage users in ten min through Swiftlane training videos or by playing around with the dashboard.
Suprema is a biometrics access control manufacturer, that makes face and fingerprint access control systems. Suprema products are popular in various industries like factories, data centers, research institutes, and regular offices.
ZKteco is a Chinese biometrics access control provider, based out of Dongguan, China. ZKTeco specializes in biometrics access control and security systems. ZKteco provides access control via many methods, like face, vein, iris, and even palm prints.
How is face recognition more secure than key cards?
Key cards can be cloned with a cheap cloner, and are easily lost or stolen. Also, key cards cannot verify who is carrying the card. Swiftlane Face Recognition verifies the person that is trying to gain access, and also ensures that only authorized users are allowed access.
What does Swiftlane do with my face data?
Your data is stored securely on our servers with strong restrictions to access it. We never sell data and ensure all data is sent via encrypted communication and securely stored with the highest privacy and security.
Can someone try to use a photo of me to gain access to the building?
Most face recognition readers include anti-spoofing technology. E.g. With Swiftlane, the SwiftReaders check the 2D and 3D depth data of a face, as well as several other factors. The Swiftlane deep learning algorithms check against this data and prevents people from getting in by holding a photo of a person.
When it comes to access control, organizations are looking for airtight security solutions that provide a streamlined experience for a high volume of users. With its facial recognition access control devices, the VisionPass range by IDEMIA offers near-motion secure identity verification with minimum behavioural adaptation in all light conditions.
With its facial recognition access control range, IDEMIA paired its latest advances in Artificial Intelligence and facial recognition algorithms with a state-of-the-art optical set combining 3D, visible and infra-red cameras to meet the expectations of the most demanding clients.
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This technology captures and analyzes facial data to grant or deny access to secured areas. It eliminates the need for traditional access methods like keys or cards, enhancing security, convenience, and efficiency.
Face Recognition Access Control is gaining popularity in various settings, from businesses to residential properties, for its accuracy and ability to provide a seamless and secure access management solution.
Facial recognition employs a 2D or 3D scanner, such as a camera, to capture your facial image. It then utilizes advanced algorithms to analyze and identify the distinctive features that set your face apart.
To account for variations in camera angles or suboptimal image quality, facial recognition algorithms are adept at detecting these variations and making the necessary adjustments to create an accurate faceprint.
Initial investment costs can be significant, particularly for small businesses or residential users. These costs include purchasing high-quality cameras and sensors, software licensing, and installation expenses.
These advanced systems are designed to prevent such photo-based spoofing attempts effectively. They incorporate robust anti-spoofing measures, such as liveness detection and 3D facial mapping, which enable them to differentiate between a live face and a static image.
With a commitment to privacy, security, and innovation, Face Recognition Access Control paves the way for a safer and more efficient future, where access to our physical spaces is managed with unprecedented precision and convenience.
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From unlocking your smartphone or authenticating contactless payments, to speeding-up the identification process at airport border controls, to the most recent, burgeoning application of hands-free face recognition for door entry and access control; facial recognition is one of the fastest growing biometric security technologies.
It's clear that secure, hands-free technology such as this is a vital part of future-proofing new buildings to help combat the spread of viruses and infection; whether it be prevention of COVID-19 or regular seasonal bugs, colds or flu.
Latest generation access control and door intercom systems are now increasingly adopting face recognition for highly secure authentication and keyless door entry.
To register, each individual to be added to the access system (eg. residents in an MDU/apartment building or multi-tenant office workers) requires an initial face scan or photograph of their face. The access control system uses AI algorithms to convert the image of the face into what is effectively a series of 'co-ordinates' - accurately pinpointing the distances between eyes, nose, mouth, ears, etc - to create a unique identifying string of numbers which is stored in the system's database.
The latest AI face recognition access control systems - such as the Akuvox range - also incorporate anti-spoofing 'liveness' detection, using an additional built-in camera to detect 3-dimensional facial awareness and movement.
Facial recognition is one of a number of touch-free authentication methods being adopted for both access control and door intercom systems, as part of contactless pathway parameters in latest-generation building design.
The Coronavirus pandemic has resulted in a huge growth in the requirement and application of touch-free technologies and products in workplace and multi-tenant environments to reduce the frequency of contact between individuals, thereby helping to reduce the risk of virus transmission.
Therefore, authentication methods which allow users to identify themselves without physically touching devices (technologies such as RFID, NFC, Bluetooth - and now face recognition, of course) are becoming the preferred options for door intercom and access control systems.
The accuracy and security of face recognition access controls systems is highly dependent upon the number of facial features which the system can identify/measure. Therefore, it is recommended that a system which requires users to briefly remove their mask at the point of authentication provides a more secure option.
With the wearing of face masks currently mandatory in many buildings, a number of systems are now being developed to include 'mask detection'. Rather than altering the algorithm to measure fewer facial features (less secure), mask detection will advise the user that their identity cannot be detected; 'Please remove your mask for authentication'.
If you would like to discuss your next access control system or would like more information on our full range of security products, please call our team today on T. 0115 9770075 or email us now.
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