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Biometrics – A Vital Part Of The Physical Access Control Toolbox

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The use of biometrics for physical access control is not new. Since the early 1970s, biometrics has been used to secure some of our most high-security buildings. Before the introduction of biometrics on smartphones, it was probably the first thing that came into a person’s mind when asked about the use of biometrics. It seems that every Mission Impossible film has a scene where Ethan Hunt spoofs a biometric access system to get at top secret material (mask detection anyone) In one famous scene in “Mission: Impossible Rogue Nation”, we even see an attack on a gait recognition system (not by Ethan Hunt but by Benji Dunn).

Fast-forward to 2026 and biometric technology in physical access control is everywhere and not just confined to protect access to high-security buildings and rooms. I can order a fingerprint-enabled door lock or padlock for under $50 from Amazon. The availability of easy-to-install and reliable biometric-enabled access control solutions across all sectors is revolutionizing the way in which we access buildings. Added to the availability of affordable biometric access control hardware is easy-to-use software that can manage enrolment, access control, and visitor management. Visitors to offices no longer have to queue at reception for their visitor badge or sticker but can enrol at home or enroute and simply walk through the gate or turnstile.  In some cases, you don’t even need a gate or a turnstile. Taking a leaf out of border control, biometric corridors for access control can remove the need for expensive gates or turnstiles.

In our recently published market analyst and forecast report covering the market for biometric physical access control we determine that biometrics for physical access control is increasingly a vital part of the physical access control systems (PACS) toolbox. Suppliers and adopters are increasingly adding biometric technology to their PACS to improve security and convenience.

Goode Intelligence’s investigation of biometric physical access control has discovered a number of major trends driving the adoption of biometrics in this market that include:

  1. Biometrics as strong second factor. Predominantly augmented card-based physical access control systems. The combination of access control card and a biometric enhances security and convenience and helps prevent access cards being used by non-authorised users (stolen or lent).
  2. Tighter integration with other physical security applications including surveillance and safety especially when face is the modality used. Modern face biometric PACS can detect and prevent tailgating as the camera can be monitoring this activity.
  3. Smartcard integration (fingerprint sensor integrated into biometric card).
  4. Face becoming the dominant biometric modality replacing fingerprint biometrics.
  5. The emergence of palm biometrics as a significant modality for biometric physical access control.
  6. Merger of physical and logical access control either using a biometric smartcard or with biometric-only.
  7. Biometric corridors replacing physical gates. An opportunity using technology proven in border control to replace the need, and cost, of installing and maintaining physical gates and turnstiles.
  8. Biometrics becoming the dominant PACS technology in emerging markets in particular APAC and LATAM. In these markets, face is predominant biometric modality.

The future for biometric physical access control is positive and as such Goode Intelligence is forecasting that by 2031 the market will be generating over $16.31 billion in revenue making it a significant market for biometric technologies.

The 215-page report is the most detailed and comprehensive guide to the market for biometric physical access control published to date exploring the adoption of biometric technology for physical access control in major sectors including office, residential, government, healthcare, education, transportation, and technology.

It investigates the current global adoption with market analysis including key drivers and barriers for adoption, regulation and technology standards, interviews with leading stakeholders, technology analysis with review of key biometric technologies and profiles of companies supplying biometric systems for physical access control.

Biometric modalities covered include fingerprint, face, retina, iris, palm, and finger-vein.

It includes regional and global market forecasts for users (segmented by sector and biometric modalities), devices, and revenue for the six-year period from 2026 to 2031.

This report is now available to purchase. For more information visit the report page: https://www.goodeintelligence.com/report/biometric-physical-access-control-market-technology-analysis-forecasts-2026-2031/

Deepfakes: The Growing Threat to Identity Verification and Authentication

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This article has been written by deepfake detection startup, Duck Duck Goose to accompany their involvement as a partner in a live session; “The threat of deepfakes to biometrics and how to counteract them” at the Goode Intelligence Biometric Summit 2023 on 23rd March. Register here to attend.

Deepfakes: The Growing Threat to Identity Verification and Authentication

Deepfakes are hyper-realistic fake images, videos, and audio becoming increasingly prevalent. The technology behind deepfakes is based on artificial neural networks that can analyze and imitate faces, voices, and other media aspects, putting the digital world to the test. This allows someone to, for instance, generate images and videos of people that do not exist. It can even use someone else’s face to make them say or move a certain way. Even more worrying is that having just one image of the target is enough to create these sorts of deepfakes, causing concern over the potential for identity fraud. 

Recently, deepfake software and websites have become increasingly accessible to all users, allowing anyone to create a deepfake without any technical expertise easily. This growing use of deepfake technology poses a significant threat to digital identity verification and facial biometric authentication, which is increasingly being used to verify and authenticate individuals in secure locations or online accounts. Facial biometrics is a technology increasingly used to identify and authenticate people, for example, when accessing secure buildings or online accounts. However, deepfakes make this no longer safe by tricking the technology used for identification and authentication purposes. Therefore, it is crucial to develop improved digital identity verification and authentication strategies to address this growing threat. In this article, we will discuss three examples of how deepfakes can be misused for identity fraud.

Deepfakes for live meetings

Deepfake software can be used by criminals to replace themselves as another person or even a non-existent person during a live meeting. They can use deepfake videos to pretend to be someone else and gain access to secure systems or information. In addition, they can replace the face on their ID document with the same deepfake running in real-time, allowing them to commit fraud with financial transactions, for example.

Fooling and bypassing liveness checks

Liveness checks are used to recognize whether the face being scanned is from a live person or not. With the emergence of deepfakes, there are ways to get around this check. For example, criminals can inject the deepfake into a virtual phone environment. Or they can play with a smartphone’s camera stream, making it appear as though the phone’s camera is actively recording a live face while a pre-recorded or live video is injected into the phone.

Deepfake morphs and physical documents

Deepfakes also make it easier to create better morphs in a scalable way that can be used to log into secure systems. Facial authentication systems and face match technology could fail in this case and treat the morph as a live face. Criminals can even use these morphs to create physical documents, enabling them to commit identity document fraud, a serious issue that is difficult to detect. In the world of digital identity, the current state of technology offers techniques to detect selfie fraud attempts, such as reply attacks or mask attacks, and remove them. However, these techniques are still not accurate enough and can make mistakes when it comes to detecting specific deepfakes.

To protect the digital world from misleading deepfakes, it is important to further develop the technology behind deepfake detection and adopt a multi-level security approach. This can help detect and prevent deepfake attacks before they cause damage. While deepfake technology can be used for positive purposes, it is important to be aware of its potential dangers and take steps to mitigate them.

Moderator Announcement – Chris Burt – Biometric Update

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We are delighted to announce that Chris Burt, Managing Editor, Biometric Update, is moderating a very topical session on “The threat of deepfakes to biometrics and how to counteract them” with speakers from Duck Duck Goose and Ingenium Biometrics.

BiometricUpdate.com is the leading news property that publishes shareable breaking news, analysis, and research about the global biometrics market.

Registration for the event, taking place virtually on Thursday 23 March 2023, is available here.

 

 

Speaker Announcement – Mark Evenblij, Duck Duck Goose

By | Biometric Summit 2023 | No Comments

We are delighted to announce that Mark Evenblij from Duck Duck Goose AI will be speaking on the threat of Deepfakes to biometrics and how to counteract them at Biometric Summit 2023 on 23 March 2023.

With a strong background in engineering and a clear vision, Mark co-founded the startup DuckDuckGoose. At DuckDuckGoose, he is co-responsible for developing explainable AI solutions to detect synthetic media. Mark is passionate about deepfakes and has become an experienced expert in deepfake generation by making fake images and videos for experimental purposes.

This virtual event is free to register here.