Facial Recognition With An API: The Future Is Already Here

Facial recognition technology has been making waves in various fields, including security, marketing, and law enforcement. In recent years, it has gained popularity in the workplace, where it is used to enforce face validation checkpoints. A facial recognition API is a powerful tool that can enhance security measures, streamline employee attendance and time tracking, and improve overall workplace productivity. In this article, we’ll discuss the benefits of using a face recognition API for the purpose of enforcing a face validation checkpoint at the workplace.

If you are looking to develop an app that validates people’s faces for security purposes at a company, we have the solution for you below!

What Are The Benefits Of Facial Validation?

Two of the main benefits of a facial recognition API are its applications in security and efficiency since face recognition technology enables employers to validate the identity of their employees with high accuracy, reducing the risk of unauthorized access to the workplace. The use of a face validation checkpoint ensures that only authorized personnel gain access to the building or restricted areas within the workplace. In addition, a face recognition API can be used to identify and flag any suspicious individuals, alerting security personnel in real time.

A facial recognition API can also improve workplace efficiency by streamlining employee attendance and time tracking. Traditional methods of attendance tracking, such as manual sign-ins or ID card swipes, can be time-consuming and prone to errors. By contrast, a face recognition API can accurately and quickly identify employees as they enter and exit the workplace, eliminating the need for manual input and reducing the risk of errors.

Finally, a facial recognition API can help ensure compliance with various regulations and laws. Many industries, such as healthcare and finance, have strict regulations around access to sensitive information and restricted areas. A face validation checkpoint can help ensure that only authorized personnel gain access to these areas, reducing the risk of non-compliance and potential fines.

For these reasons and many more, we recommend Zyla’s Face Comparison Validator API, as it’s a very solid option in today’s market to satisfy these needs for the best price, and its great ease of integration.

How Does This API Work?

With Face Comparison Validator API, you can check if the same person appears in 2 different pictures. Through the use of an AI it’ll allow you to compare and determine if those 2 pictures are, indeed, from the same person.  The API will need you to pass the URL of both images, and you will receive an intuitive output:

• resultMessage: this object will say either “the two faces belong to different people” (in case of face mismatching) or “the two faces belong to the same person” (in case of face matching)
• similarPercent: which retrieves the percentage of similarity of the two faces. 

This is the output for a case where the images coincide:

{
  "statusCode": 200,
  "statusMessage": "OK",
  "hasError": false,
  "data": {
    "resultIndex": 0,
    "resultMessage": "The two faces belong to the same person. ",
    "similarPercent": 0.8396031185367567
  }