Facial recognition, at its most basic level, entails recognizing or validating someone based on the qualities and features of their face. Algorithms identify vital points on the face, such as the form of one’s chin, and construct a template for that person in the most common type of facial recognition. It can be most accurate when users voluntarily submit their photographs to a limited database, such as a workplace network, for face access control. When a person approaches a facial scanner, their live image is captured and converted into a template, then it is compared to data in the database. When a face is matched, the user can perform an action, such as walking through the door or connecting to a network.
The face scanner is a cutting-edge recognition system that enables a highly flexible human verification process. Its application isn’t confined to security concerns; it also swiftly expands into the commercial realm, such as SaaS Enterprises.
As technology progresses, the face recognition feature is becoming more valuable in various areas, including businesses, hospitals, law enforcement, retail, hospitality, and marketing. Some of the instances where facial recognition has proven very useful includes:
Face recognition can be used to regulate access control to ensure that only authorized people have access to sensitive areas such as labs, boardrooms, bank vaults, and athlete locker rooms or training centers.
Despite all of the technology in hotel rooms and reservation systems, check-in is stuck in the 1960s. There are long lines. It can take a long time. With facial recognition set to play a big part in the hospitality business, allowing guests to skip lineups at the front desk and speed up the check-in process.
Face recognition has the potential to track kids’ attendance in addition to making schools safer. In the past, students could use their attendance slips to check another student who was missing class. Face recognition, on the other hand, can ensure that students do not miss class. To verify students’ identities, their faces can be scanned and their images matched against the school’s database.
Using facial recognition, retail establishments can keep track of customer profiles, recent visits, duration of visits, popular products purchased, checkout procedure, and more, just like an online retailer, and thus this aids not only in keeping track of the retail establishment’s workings for analysis, but also provides the consumer with an efficient shopping experience.
There are endless possibilities where facial recognition features open can eliminate problems and help for the better. This incredible feature has also been introduced on Quixy to help business users. Business users can make use of this feature in any use case it seems fit, like marking attendance, securing entry to restricted areas, fulfilling KYC requirements, visitor management, and any other.
To use this feature in Quixy, you need to follow the steps given below:
Step 1: Drag and drop the facial recognition widget in any app to either save the facial recognition data or look up already saved data, for example, visitor registration information.
Step 2: Once an app is published, it can be used on any mobile device. Using API integration, you can use the facial data captured through the widget to query any 3rd party service as well.
With the list of examples of facial recognition stated above, you can take a look at how various industries can use this feature for different purposes. Introducing a facial recognition feature on our platform reduces manual data entry work and opens the doors for further innovation around the feature and app building.
Quixy Ranked #1 No-Code Platform in G2's Fall 2021 Momentum Report