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Facial recognition: The next-gen future technology

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Mirror Review
Facial recognition: The next-gen future technology

History of facial recognition

The history of facial recognition is as old as some of our age. But for some of us, it is relatively new. The first time it was seen in some science fiction movie.

Woodrow Wilson Bledsoe is known as the father of facial recognition. In 1960, he developed a system that could classify photos of faces by hand. Later, in 1970, new additions were done to the system by Goldstein, Harmon, and Lesk. The research and developed of facial recognition system continued for years and years. At the beginning of 2010, Facebook also implemented the facial recognition system to identify the faces in the uploaded photos. In 2011, the first-ever major installation of face recognition was done by the government of Panama in partnership with the US secretary of Homeland security Janet Napolitano to reduce the illegal activities. In 2014, the automated regional justice information system (ARJIS) started supplying partner agencies with FaceFirst’s mobile platform that supported face recognition for law enforcement. Later, some agencies started using the platform to identify suspects. 3 years back in 2017, iPhone X launched its phone with facial recognition as the phone’s one of the primary function. The facial recognition was used to face lock and became a standard for all the upcoming mobile phones.

The facial recognition market is one of the fastest-growing technologies in the world. Currently, technology is its initial stage and is expected to hold a key position in the future. In recent times, there has been substantial growth in terrorist attacks on various government and private organizations. Therefore, the importance of this technology is not just limited to research purpose but is equally important for security purposes. With all the futuristic technologies such as cloud-based services and 3D based recognition systems, increases the value of the facial recognition system.

Three segments in facial recognition technology

Further, the facial recognition market is divided into three segments on the basis of its technology, component, and application.

Between all the three technology, 3D facial recognition technology is more accurate as compared to 2D facial recognition. 3D facial recognition also holds an important position in the facial market system as it is more accurate and advanced out of these three.

The component of facial recognition is further segregated into two hardware and software. Scanners, handheld devices, cameras, and other similar devices are included in the hardware.

Application of the facial recognition system doesn’t limit to one sector. ID management, intelligent signage, homeland security, business intelligence, a criminal investigation, photo indexing and sorting, phone, and automotive, VIP recognition, PC and banking login are some of the application where facial recognition system is available.

How it works

Facial recognition is a home name, as all the smart phones include this technology as its primary feature.  Most of us still wonder how it works. However, it involves three basic functions on which it works.

First, it detects the person’s faces in image and videos. Secondly, it captures the face and runs the face details with the existing data present. Lastly, it verifies the two faces with each other.

Pros

High level of security

Security is one of the important concerns for an organization. Organisation uses different technology to suffice its security needs. One of the common technologies is biometrics that is used on a daily basis. It ticks all the boxes as it is used for security check, for attendance, for unknown visitors. If the same is replaced by Facial recognition technology, it would not only cover all the merits of biometrics but also give you enhance security and safety.

High accuracy

The facial recognition is becoming more and more reliable. Newly updated software and technology are making facial recognition system more accurate than ever before. The cameras are so advanced that every small detailed is captured.

Cost efficiency 

Cost efficiency is one of the additional benefits you get with facial recognition technology. It reduces all the extra costs of a security guard and other security measures. Facial recognition system provides you the extra edge over the traditional security measure. Traditional security measure involves security guards which have its own limitations.

Less chance of error

There are fewer chances of machine error as compared to humans. Security is such an issue where slightest of mistake can lead to huge damage. Furthermore, humans are affected by various external factors as compared to the machine.

Cons

Unable to detect a change

There are times when the facial recognition system was unable to detect the face. The technology was unable to detect a person’s hair growth. Men with facial hair and when removed and people who have constant hairstyle changes were undetected by the technology. At times, people tend to put on some weight or lose by any chance. Such changes also remained untraced by facial recognition technology. Change in the facial color due to tan or shadow on the face made the system off from detecting the face. The only solution which seems possible at the time is taking a new photo with the changed attribute.

Storage of the data

After the system been installed, one of the vital questions arises is about the data storage of the photos and videos. The high-quality camera will record and capture videos and photos at high quality that will require a large amount of data storage. An organization needs to prepare them to be able to install such a system on the premises. Additional, computers will be required for faster processing of data.

Camera Angle

A correct camera angle is required to identify the face properly. Camera angle plays a vital role to identify the face. Setting up a camera in the right place is as important as using a high-quality camera.

Initial cost

Facial recognition system requires the installation of top quality cameras and advanced software to ensure correct face identification and speed.

Future of the facial recognition market

According to a research report published by MarketsandMarkets, during the forecast period, the global market is expected to grow from $3.2 billion in 2019 to $7 billion in 2024 at compound annual growth rate (CAGR) of 16.6%.

North America has a high number of early adopters of facial recognition technology and is considered as one of the advanced regions. During the forecast period, the presence of major market players is expected to contribute to the highest market share in terms of revenue. Large-scale funded programs and employee access monitoring in buildings are the major factors driving the revenue in the North American region.

NEC (Japan), Fulcrum Biometrics (US), Accenture (Ireland), Idemia (France), Fujitsu (Japan), Aware (US), Smilepass (UK), Leidos (US), BioID (Germany), M2SYS (US) and Phenexia (US) are some of the major vendors in the global facial recognition market

 

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