Facial Recognition
A biometric surveillance technology that Flock explicitly refuses to develop or implement to protect civil liberties.
First Mentioned
8/19/2026, 6:36:10 AM
Last Updated
8/19/2026, 6:41:29 AM
Research Retrieved
8/19/2026, 6:41:29 AM
Summary
Facial recognition is a technology that matches human faces from images or videos against a database, functioning as a biometric system by measuring facial features. Its development began in the 1960s, and it has since seen increased use in smartphones, robotics, and various other technologies. While its accuracy is lower than other biometrics like iris or fingerprint recognition, its contactless nature contributes to its widespread adoption. Facial recognition systems are utilized globally by governments and private companies for purposes such as user authentication, video surveillance, law enforcement, and employment decisions. However, the technology has faced significant controversy due to concerns about privacy violations, inaccurate identifications, and the potential for racial and gender profiling. The emergence of deepfakes has also raised security concerns. These issues have led to bans in several U.S. cities and prompted companies like Meta Platforms to shut down its Facebook facial recognition system in 2021, deleting over a billion users' face-scan data. IBM also ceased offering facial recognition technology due to similar concerns. In contrast, Flock Safety, a company providing security cameras and automated license plate readers, deliberately avoids facial recognition and limits AI to prevent predictive policing, yet still faced backlash and customer churn, with activists coordinating vandalism and public criticism. Flock Safety is implementing measures like audit logs and transparency portals to build accountability and mitigate the risk of police misuse. The debate surrounding these technologies highlights the tension between privacy and safety, with discussions on data retention policies and the need for opt-in/opt-out models.
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Wikipedia
View on WikipediaFacial recognition system
A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. Development on similar systems began in the 1960s as a form of computer application. Since their inception, facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics. Because computerized facial recognition involves the measurement of a human's physiological characteristics, facial recognition systems are categorized as biometrics. 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. Facial recognition systems are employed throughout the world today by governments and private companies. Their effectiveness varies, and some systems have previously been scrapped because of their ineffectiveness. The use of facial recognition systems has also raised controversy, with claims that the systems violate citizens' privacy, commonly make incorrect identifications, encourage gender norms and racial profiling, and do not protect important biometric data. The appearance of synthetic media such as deepfakes has also raised concerns about its security. These claims have led to the ban of facial recognition systems in several cities in the United States. Growing societal concerns led social networking company Meta Platforms to shut down its Facebook facial recognition system in 2021, deleting the face-scan data of more than one billion users. The change represented one of the largest shifts in facial recognition usage in the technology's history. IBM also stopped offering facial recognition technology due to similar concerns.
Web Search Results
- How Does Facial Recognition Work?
Photo: David Becker/Getty Images ## Table of Contents Report by James Andrew Lewis and William Crumpler Published June 10, 2021 ### Available Downloads Download the Full Report 2091kb #### Executive Summary 1. What Is Facial Recognition? Facial recognition is a way of using software to determine the similarity between two face images in order to evaluate a claim. The technology is used for a variety of purposes, from signing a user into their phone to searching for a particular person in a database of photos. [...] 3. How Does Facial Recognition Work? Facial recognition uses computer-generated filters to transform face images into numerical expressions that can be compared to determine their similarity. These filters are usually generated by using deep “learning,” which uses artificial neural networks to process data. 4. How Accurate Is Facial Recognition? Facial recognition is improving rapidly, but while algorithms can achieve very high performance in controlled settings, many systems have lower performance when deployed in the real world. Summarizing the accuracy of a facial recognition system is difficult, however, as there is no single measure that provides a complete picture of performance. [...] 8. What Does This Mean? Facial recognition is usually discussed only in the context of its most dystopic applications, but it is a multifaceted tool that can be applied to a range of different problems. Facial recognition is used to aid human decisionmaking rather than replace it. Human oversight helps to mitigate the risk of errors. Operators need to understand how system performance can be affected by deployment conditions in order to put in place the right safeguards to manage trade-offs between accuracy and risk. A better understanding of the issues covered in this report will help ensure this technology can be deployed safely in ways that let us capture its benefits while managing risks.
- What Is Facial Recognition? | Microsoft Azure
## Global # What is facial recognition? ## Facial recognition defined Facial recognition is a biometric technology that identifies or verifies a person by analyzing facial features using AI-powered algorithms and image processing. It works by comparing a captured image to stored facial data to confirm identity quickly and accurately. ## Key takeaways ## How it works ### How does facial recognition technology work? Facial recognition is a form of biometric authentication that verifies identity by analyzing a person’s facial features. Powered by AI and machine learning, it captures a facial image and compares it against stored data to confirm identity. Unlike fingerprint scanning or iris scanning, face recognition relies on visual features rather than physical contact.
- Facial Recognition Technology | Homeland Security
AEL Category: 13. Terrorism Incident Prevention Equipment AEL Title: Software, Facial Recognition AEL Number: 13IT-00-FACE SAVER Project: Facial Recognition Technologies Facial recognition technology is a contemporary security solution that automatically identifies and verifies the identity of an individual from a digital image or video frame. This technology can be compared to other biometric technologies, and used for a number of activities. Please contact NUSTL@hq.dhs.gov regarding access to the following additional documents: Application Note and Survey of Policy Implementation Issues on Facial Recognition Technology. Find this project in the FEMA Authorized Equipment List and InterAgency Board Interactive Standardized Equipment List.
- Spotlight - Facial Recognition Technology
Follow AJL on TwitterFollow AJL on InstagramFollow AJL on Facebook # What is facial recognition technology? “Facial recognition” refers to a group of technologies that perform tasks on human faces. It relies on artificial intelligence (AI) to learn the patterns of a human face. The AI system uses a machine learning model to learn from a dataset of human faces. These datasets can be compiled using data scraped from social media platforms and millions of other websitesand can include anywhere from a few thousand to billions of images. [...] Facial recognition can be used by the government and the private sector in a variety of ways. The process begins with capturing a facial image. Your face can be captured almost anywhere — including by cameras in public and private places (office buildings, street lamps, traffic lights, gas stations, restaurants). Our faces are the most visible part of our bodies. Unlike fingerprints or DNA testing, facial recognition does not require any physical contact to identify someone. Is there a face? # First: Face Detection The most basic task is detecting the presence of your face in an image or video. Simply detecting that a face is present, however, does not say anything about that face without some additional steps.
- What is Facial Recognition & How does it work?
Facial recognition is a category of biometric security. Other forms of biometric software include voice recognition, fingerprint recognition, and eye retina or iris recognition. The technology is mostly used for security and law enforcement, though there is increasing interest in other areas of use. ### How does facial recognition work? Many people are familiar with face recognition technology through the FaceID used to unlock iPhones (however, this is only one application of face recognition). Typically, facial recognition does not rely on a massive database of photos to determine an individual’s identity — it simply identifies and recognizes one person as the sole owner of the device, while limiting access to others. [...] Asia & Pacific AustraliaIndiaIndonesia (Bahasa)Malaysia - EnglishMalaysia - Bahasa MelayuNew ZealandViệt Namไทย (Thailand)한국 (Korea)中国 (China)香港特別行政區 (Hong Kong SAR)台灣 (Taiwan)日本語 (Japan) For all other countries Global Website Complete protection for your smartphone, payments, and personal data with Kaspersky Try it for free # What is Facial Recognition – Definition and Explanation What is Facial Recognition – Definition and Explanation ### What is facial recognition? Facial recognition is a way of identifying or confirming an individual’s identity using their face. Facial recognition systems can be used to identify people in photos, videos, or in real-time. [...] Beyond unlocking phones, facial recognition works by matching the faces of people walking past special cameras, to images of people on a watch list. The watch lists can contain pictures of anyone, including people who are not suspected of any wrongdoing, and the images can come from anywhere — even from our social media accounts. Facial technology systems can vary, but in general, they tend to operate as follows: #### Step 1: Face detection The camera detects and locates the image of a face, either alone or in a crowd. The image may show the person looking straight ahead or in profile. #### Step 2: Face analysis
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