Face Recognition — Most Effective Technology for Human Identification
Several biometric technologies are being used for human identification based on different physical characteristics, such as face recognition, iris recognition, DNA matching, and voice recognition.
However, face recognition is said to be the most prominent biometric safety mechanism for authentication and verifying people as per their facial features.
Face Recognition System — New Trend of Human Identification Technology
Face recognition refers to a system that utilizes multiple algorithms for confirming a person’s identity through their videos or photos.
A face recognition device operates on artificial intelligence (AI)-based face recognition model that is trained by providing mixed categories of various faces based on age, gender, ethnicity, and so on to recognize different faces.
Due to the growing demands for advanced technologies such as AI, human identification technology is under continuous pressure to improve the efficiency of their workflows without lowering quality.
Face recognition systems are one of the most promising technologies to enhance conventional human identification technology. Moreover, due to the continuous development of such advanced technologies, the global human identification market is also growing.
According to the BIS Research report, the global human identification market is expected to touch $6,435.6 million by 2032 from a market value of $1,385.8 million in 2021. The market is supposed to grow at a CAGR of 14.77% during the forecast period 2022–2032.
Use of Face Recognition System in Human Identification
Some of the common uses of face recognition include:
- Law enforcement
Face recognition technology helps in reducing the crime rate and improving the security of multiple places such as hospitals and airports. Law enforcement agents worldwide store images of arrestees for future criminal investigations.
The images of the suspects can be captured on tablets, smartphones, and other related devices for comparison against database images. Moreover, they can also be used to help in finding missing victims and persons.
- Airports
Many airports around the world use face recognition technology to lower waiting times and provide better security. Additionally, many individuals have biometric access, which can be used for automatic recognition.
In 2020, the Ronald Reagan Washington National Airport in Washington D.C installed a checkpoint where passengers got the option to enter their passports into the scanning machines.
The machines used facial recognition technology to match the passengers’ ID images to their faces. This helped reduce the excess crowd in the airport and helped in automating airport-related tasks.
- Patient information
Patient health documents and other details are kept confidential and must be accessed by authorized people only. Face recognition technology can be used in the healthcare sector to detect pain or recognize certain hereditary diseases.
One example is the Face2Gene phenotyping app used by clinicians to scan rare hereditary conditions such as Cornelia de Lange syndrome.
Human identification technology is constantly getting advanced and becoming better with time due to technologies such as face recognition.
According to Nitish Kumar, Principal Analyst, BIS Research, “North America is the leading contributor in the global human identification market. It contributed approximately 53.23% to the global human identification market in 2021. The market in this region is anticipated to grow at a CAGR of 15.07% during the forecast period 2022–2032 and might continue dominating the market in 2032.”
Conclusion
Human identification technology is mainly used in disaster victims’ identification, forensics, anthropology, and paternity testing. Conventional human identification technologies were not as effective as advanced human identification technologies such as face recognition. Today, face recognition is being used for various purposes, such as maintaining record of patients’ information and criminal investigations.
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