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History of Face Recognition & Facial recognition software

  • Author:HFSecurity
  • Release on:2020-12-25

A Brief History of Face Recognition

Until recently, face recognition technology was still widely regarded as a kind of science fiction. But in the past ten years, this groundbreaking technology has not only become feasible, but has become widespread. In fact, it is difficult to read technology news these days without seeing knowledge about facial recognition.

Several industries benefit from this technology. Law enforcement agencies are using facial recognition to ensure community safety. Retailers are preventing crime and violence. Airports are improving the convenience and safety of travelers. Some well-known mobile phone solutions and manufacturers have also begun to use facial recognition technology. They have provided a new direction for consumers' biometric security.

In some people's eyes, facial recognition is not useless. But in fact, this technology has been in use for some time. This article will introduce the history of face recognition to clarify how this transformative technology came about and how it has evolved over time.

Below we will introduce you to some key events about facial recognition in history:

Manual measurement of BLEDSOE (1960s)

Many people would say that the father of facial recognition is Woodrow Wilson Bledsoe. Bledsoe worked in the 1960s and developed a system that can classify face photos using a hand called a RAND tablet. This device allows people to input levels on a grid with a stylus that emits electromagnetic pulses And vertical coordinates. The system can be used to manually record the coordinate positions of various facial features (including eyes, nose, hairline and mouth).

These indicators can then be inserted into the database. Then, when a new photo of an individual is provided to the system, it can retrieve the image most similar to that individual from the database. At that time, unfortunately, face recognition was severely limited by modern technology and computer processing capabilities. However, this is an important first step in proving that facial recognition is a viable biometric technology.

Increased accuracy of 21 face markers (1970s)

At this point in the 1970s, the security of manual facial recognition systems was increased. This change was co-created by Goldstein, Harmon and Lesk.. They used 21 specific subjective markers, including lip thickness and hair color, to automatically recognize faces. Like Bledsoe's system, the actual biometric data must still be calculated manually.

Characteristic surface (late 1980s-early 1990s)

In 1988, Sirovich and Kirby began to apply linear algebra to facial recognition problems. The so-called "eigenface" approach starts by looking for low-dimensional representations of facial images. Sirovich and Kriby were able to prove that the feature analysis of a facial image collection can form a set of basic features. They were also able to show that to correctly encode standardized face images, the required values ​​must be less than one hundred.

In 1991, the Eigenface method was used to expand how to detect faces in an image. The explorers are Turk and Pentland. This led to the first appearance of automatic facial recognition. Their method is limited by technical and environmental factors, but this is a major breakthrough in proving the feasibility of automatic facial recognition.

HFSecurity Face Recognition Device

Program (1993-2000S)

Since the 1990s, the US Defense Advanced Research Projects Agency (DARPA) and the National Institute of Standards and Technology have adopted the facial recognition technology program as a technology to encourage the commercial facial recognition market, and are ready to start.. The project involves creating a database of facial images. The database was updated in 2003 to include a high-resolution 24-bit color image version. The test set includes 2,413 still images representing 856 people. It is hoped that a large database of test images for facial recognition can inspire innovation, which may lead to more powerful facial recognition technology.

Super Bowl XXXV (2002)

In the 2002 Super Bowl game, law enforcement officers used facial recognition technology in a major test of technology. The official report stated that several "little offenders" were found, but overall, the test was considered a failure. False positives and strong opposition from critics prove that face recognition is not yet ready. One of the biggest technical limitations at the time was that face recognition did not work well in a large number of people, and features were essential for using face recognition for event safety.

Facial recognition supplier test (2000S)

The National Institute of Standards and Technology (NIST) began the face recognition vendor test (FRVT) in the early 2000s. FRVT is based on FERET and aims to provide the government with an independent evaluation of commercially available facial recognition systems and prototype technologies. These assessments are designed to provide law enforcement agencies and the US government with the necessary information to determine the best way to deploy facial recognition technology.

Law Enforcement Forensics Database (2009)

In 2009, the Pinellas County Sherriff's Office created a forensic database that allows police officers to use the state Highway Safety and Vehicle Administration (DHSMV) photo archive. By 2011, about 170 representatives had been equipped with cameras that allowed them to take photos of suspects who could be cross-checked through the database. This led to more arrests and criminal investigations.

Social media (2010-present)

Beginning in 2010, Facebook began to implement facial recognition, which can help identify people whose facial expressions may be in the photos that Facebook users update every day. Although the feature immediately caused controversy in the news media and triggered a large number of privacy-related articles, the entire Facebook user did not seem to mind. There are more than 350 million photos uploaded and tagged using the facial recognition function every day, which has no obvious negative impact on the use or popularity of the website.

First installation of face recognition on an airplane (2011)

In 2011, the Panamanian government cooperated with the then U.S. Secretary of Homeland Security Janet Napolitano (Janet Napolitano) authorized a pilot program for the FaceFirst facial recognition platform to reduce Panama’s Tocumen Airport (known as drug smuggling and organized crime) Hub) illegal activities.

Soon after its implementation, the system led to the arrest of several Interpol suspects. Happy with the success of the first deployment, FaceFirst expanded to the North Station of the facility.

HFSecurity Face Recognition Device

OSAMA BIN LADEN IDENTIFIED (2011)

Facial recognition has been increasingly used by law enforcement officers and military professionals to obtain evidence. Generally, this is the most effective way to definitely identify a dead body. In fact, facial recognition was used to help confirm the identity of Osama bin Laden (Osama bin Laden) who was killed in a US raid.

Law enforcement agencies through mobile facial recognition (2014)

Since 2014, the FaceFirst mobile platform has been provided to their partner agencies by the Automatic Regional Judicial Information System (ARJIS). This platform can help and support the facial recognition operations of law enforcement officials.. ARJIS is a complex criminal justice enterprise network designed to facilitate information and data sharing between local, state and federal law enforcement agencies. It hopes to solve a key problem: instant identification of people who do not have an ID or do not want to be identified. Some organizations that have begun to use mobile facial recognition technology to identify suspects at the scene include the San Diego Police, DOJ, FBI, DEA, CBP, and Marshalls.

The "unavoidable" retail industry of facial recognition (2017)

Since the application of face recognition in the retail industry is faster than any other industry, experts have noticed this. In a recent webinar, "D&D Daily" publisher and editor Gus Downing (Gus Downing) stated that face recognition is "inevitable for retail adoption." Downing is considered one of the most important thought leaders in loss prevention. He is just an expert. He now sees a huge advantage for retailers using facial recognition systems.

IPHONE X (2017)

Apple released the iPhone X in 2017 with face recognition as one of its main new features. The facial recognition system in the mobile phone is used for device security. The new iPhone models sold out almost immediately, proving that consumers have now adopted facial recognition as the new gold standard for security.

Service nursing list (2017)

It is becoming easier for organizations to benefit from facial recognition technology. This year, FaceFirst launched WatchList as a service (WaaS) at the NRF Protect conference. The watch list contains managed databases of known criminals that pose a risk of security, theft or violent crime. The database works in conjunction with the FaceFirst biometric surveillance platform, which uses function matching technology to alert security of real-time threats.

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