Billboards that incorporate face recognition technology – such as London’s Piccadilly Circus – means brands can trigger tailored advertisements. As reviewed earlier, edge-based facial recognition is more secure than cloud-based options that require individuals’ pictures and videos to face recognition app be sent through the internet to a cloud server, a process inherently vulnerable to attacks and leakage. Edge-based computing avoids most risks as the only data captured and stored takes the form of encrypted face templates, and the entire process can run without any cloud connection.

However, we are seeing increasingly innovative uses for facial recognition in areas such as cryptocurrency exchanges, smart retail, restaurant experiences, and smart robotic assistants. With its high reliability, the i.MX8M Plus family focuses on machine learning and vision, advanced multimedia, and industrial IoT. NXP’s Plus models add a powerful NPU to the SoC to significantly enhance AI algorithms’ performance.


Although it never made it to market, ZTE’s Project CSX was an intriguing prospect, as it boasted some interesting biometric security and software technologies. The iris scanning technology was likely based on the company’s earlier Eyeprint ID, developed by EyeVerify, which featured in the company’s older Grand S3, Blade S6, and original Axon smartphone. Samsung was the first to pack advanced facial recognition technologies into a top-tier flagship with iris scanning technology inside the ill-fated Galaxy Note 7. The technology stuck around inside the Galaxy S8 and new Note 8, which forms part of Samsung’s security suite alongside a broader face recognition system and fingerprint options. IPhone X for now has the most secure and reliable face recognition technology.

Unlike the basic IR technology mentioned previously, 3D scanning is designed to map out a user’s entire face in a highly secure manner. It doesn’t just rely on the phone’s familiar front-facing camera, there are actually lots of sensors crammed onto that strip at the top. Samsung’s iris scanning technology works by identifying the patterns in your irises using an infrared scanner. IEEE Spectrum is the flagship publication of the IEEE — the world’s largest professional organization devoted to engineering and applied sciences. Our articles, podcasts, and infographics inform our readers about developments in technology, engineering, and science. During 55 hours of deployment the system flagged up 2,900 potential matches of which 2,755 were false positives.

Threats Posed By Face Recognition

The tech could help smart home gadgets get smarter, sending you notifications based on who it sees and offering more convenient access to friends and family. Mobile apps for face recognition provide users with the ability to keep themselves safe from unwanted intruders. Mobile phones used to be easily accessed; however, it is tough to break into a phone which employs face recognition technology. The Cyberspace Administration of China said facial recognition technology can only be used to process facial information when there is a specific purpose and sufficient necessity, and with strict protective measures.

Mobile face recognition technology

App Lock is one of the best facial recognition apps that ensures that users are only able to access their personal information, financial accounts, and social media apps. Apple’s iPhone X series and Samsung’s Galaxy Note 8 and 9 are the most popular devices with facial recognition right now. As other companies follow suit, it’s estimated that over one billion smartphones will use digital 3D face scanning in the next two years.

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FBI allows state and local agencies “lights out” access to this database, which means no human at the federal level checks up on the individual searches. In turn, states allow FBI access to their own criminal face recognition databases. Apple’s Face ID has spurred an increased interest in facial recognition technology in the mobile sector, with selfie-based authentication rapidly catching up to the ubiquity of fingerprint authentication. In the United States of America several U.S. states have passed laws to protect the privacy of biometric data.

  • This app lets the user learn from their surroundings by scanning the objects, places, or anything they would want to learn about.
  • It leverages the Face SDK feature publicly with privacy concerns and scrutiny for multiple face detection APIs.
  • The Face in Video Evaluation Program assessed the capability of facial recognition algorithms to correctly identify or ignore persons appearing in video sequences.
  • Real-time face detection in video footage became possible in 2001 with the Viola–Jones object detection framework for faces.
  • The idea was criticized as likely to target those unfairly deemed a threat and potentially even political activists.

Facial recognition uses several different forms of technology to gather information about your face, such as infrared, which, after scanning, will take an infrared photo of your face. These include your distance from the camera and how far certain features on your face are from each other, such as the distance between your ears. Aware, Inc., a leading provider of biometric software and services, offers a compelling assessment of the enterprise security landscape in the era of the data breach in this white paper.

How does this facial mapping app work?

Although the accuracy of facial recognition systems as a biometric technology is lower than iris recognition, fingerprint image acquisition, palm recognition or voice recognition, it is widely adopted due to its contactless process. Facial recognition systems have been deployed in advanced human–computer interaction, video surveillance, law enforcement, passenger screening, decisions on employment and housing and automatic indexing of images. In December 2017, Facebook rolled out a new feature that notifies a user when someone uploads a photo that includes what Facebook thinks is their face, even if they are not tagged. Facebook has attempted to frame the new functionality in a positive light, amidst prior backlashes. Facebook’s head of privacy, Rob Sherman, addressed this new feature as one that gives people more control over their photos online. The most recent case was dismissed in January 2016 because the court lacked jurisdiction.

Mobile face recognition technology

The most precise facial recognition engines are characterized by a low false non-match rate and an extremely low false match rate . A false non-match is the failure to match two facial templates from the same person, whereas a false match is when one person’s face is matched with someone else’s. Liveness detection, often referred to as anti-spoofing technology, is used for biometric fraud protection against a range of techniques that have been used to impersonate authorized people and gain access illegally. Unlike Samsung’s infrared technology, Eyeprint ID used the phone’s high-resolution front camera to scan the user’s eye, identifying blood vessel patterns that are unique to each individual. While that’s a great way save costs, it’s more prone to being fooled than modern infrared implementations. 2D IR facial recognition isn’t hugely common, but it is a less expensive alternative to high-end 3D face unlock technologies.


IPhone and iPad Pro and the TrueDepth camera system have been thoroughly tested and meet international safety standards. The TrueDepth camera system is safe to use under normal usage conditions. The system will not cause any harm to eyes or skin, due to its low output. It’s important to know that the laser system might be disabled for safety reasons if the device is damaged or malfunctions.

Mobile face recognition technology

The FBI can access over 400-million non-criminal photos from state DMVs and the State Department, and 16 U.S. states allow FACE access to driver’s license and ID photos. Blippar, founded in 2011, is a leading technology content company specialising in Augmented Reality , with the vision to make AR accessible for all. Face2Gene is a healthcare app developed by FDNA, an American artificial intelligence company. In the US, this article by BBC News points out that a restaurant in Los Angeles tested facial recognition payments. Meanwhile, in Denmark, Nets implemented a pilot program where 1,000 people in Copenhagen could buy food in their employer’s canteen.

Best Face Recognition App in 2022

Facial recognition software is particularly bad at recognizing African Americans and other ethnic minorities, women, and young people, often misidentifying or failing to identify them, disparately impacting certain groups. Blippar uses Deep Learning computer vision, a form of artificial technology. Using a smartphone camera, it recognises relevant images and real-world objects. Through Augmented Reality, it displays digitally designed content as an overlay that you can enjoy and interact with.