Do you want to know why large corporations can benefit from a face comparison API? In this article, we will go over it in further detail and discuss the benefits that these APIs bring.
The face recognition market was worth roughly $3.85 billion in 2017 and is expected to increase to $9.78 billion by 2023, at a CAGR of 16.81%. According to the report, Asia Pacific will be the fastest expanding area throughout the anticipated time.
Many large corporations, including IBM, Amazon, Google, Facebook, Microsoft, and Alibaba, have invested billions of dollars in research and development in this subject, and each has developed their own software, systems, and APIs.
Technology has the potential to be a powerful social progress instrument, but it also brings significant risks and obstacles. Facial recognition is an excellent example of how emerging technology has two sides. FRT is frequently used in smartphones and tablets as an alternative to a password or PIN. Furthermore, FRT is increasingly being used by authorities to identify criminal suspects, among other things.
So, facial recognition is the technique of recognizing or confirming a person’s identity based on their face. FRT captures, analyzes, and compares patterns based on a person’s face details. In other words, it searches for and detects human faces in photographs and videos; it translates a face’s analog information into a collection of digital data; and, finally, it tests to see whether two photos match.
This program is widely used nowadays due to its numerous features and applications. Furthermore, 53% of respondents in a comprehensive leadership survey agreed that “biometrics would play a critical role in the enabling of digital identities.” As a result, face recognition is becoming more diverse and valuable, making it a technology worth investigating and remembering for today’s and tomorrow’s challenges.
Face Comparison Validator API has numerous applications, as you may probably guess by now. They are used to improve security at work checkpoints, validate a user’s identification on social media, approve a purchase on an online platform, and let a student to take a virtual exam on an online university platform.
Face Comparison Validator
Using the Face Comparison API, you may determine whether a person appears the same in two photos. You may also use our artificial intelligence to compare the two photographs to verify whether they genuinely reflect the same person. As a result, you might use this API to enable user registration in banking apps or to provide a face verification checkpoint at work.
When you use this Face Comparison API, each response will be unique. One is the resultMessage, which will either announce “the two faces belong to distinct persons” or “the two faces belong to the same person” in the event of a face mismatch or match (in case of face matching). The other is similar Percent: This shows how similar the two faces are in percentage terms.
Railer
Railer is a face recognition tool that is available on both Apple and Android cellphones. Railer is used by educational institutions to track student attendance. Students who are absent are reported, and institutions can avoid errors by requiring regular attendance.
Because it is automated, the best feature of this program is how little manual labor is necessary. Railer‘s automated system, on the other hand, allows for a smooth operation. Manual labor can have flaws and problems. Railer‘s characteristics include: accurate face recognition; no use of “proxies”; and monitoring of both student and employee attendance.
Time Dynamo
Time Dynamo is used as an attendance system by businesses and institutions. To identify users, this program employs biometric technology. The program also allows users to record the times that employees check in and out, in addition to other information.
Employers can use the data stored in Time Dynamo to evaluate employees’ performance. This program only demands that data be entered on a regular basis. Time Dynamo has the following features: Attendance management; reports and analytics; leave requests and approvals.