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The Use Of A Face Comparison Validator API For Employee Time And Attendance Tracking

Face comparison technology is also useful for employee time and attendance tracking because it can accurately track employees’ work hours. This can be especially helpful in industries where employees may be tempted to falsify their time sheets or claim overtime hours that they did not work. This technology has recently gained popularity because it enables companies to identify employees who are not attending work by comparing their faces with those stored in the database. Additionally, it helps them track their employees’ attendance and ensure that they are present at work when they are supposed to be.

Adding this system by an identity verification API, especially for the HR department, will help keep track of the whereabouts of their employees, and the identification any potential problems that may arise with the attendance of their employees. For instance, if an employee is frequently absent from work or if they are not present during working hours. Thus, if you are a developer, you need to pay attention to the best tool in this matter.

What Is The Best Identity Verification API Available Today?

The Use Of A Face Comparison Validator API For Employee Time And Attendance Tracking

Fortunately, there is an API available today that can be used by any business looking to incorporate this kind of functionality into their applications or systems. This is an identity verification API, which enables you to compare faces in two images using cutting-edge machine learning algorithms.

However, despite the plethora of APIs available online, not all of them are secure or reliable enough for use in your business. Therefore, we advise using the Face Comparison Validator API, which has recently become popular among businesses.

About Face Comparison Validator API

The Use Of A Face Comparison Validator API For Employee Time And Attendance Tracking

Face Comparison Validator API is a trustworthy face comparison tool that is available on Zyla API Hub. It uses cutting-edge technology to quickly compare two faces and determine whether they belong to the same person. This way, businesses can quickly verify whether an employee has been at work during working hours and if there are any duplicate accounts. Also, this API employs artificial intelligence to compare faces with accuracy and precision, and as a result, it will provide you with accurate results in just a few seconds. If you are a developer, you must know other benefits of this API

-The ability to organize the data in a way that will save you time and effort while supporting you in reaching your goals is one of the additional advantages of using this application.

-This useful and adaptable tool, one of the most well-liked APIs available today, allows you to swiftly personalize your systems.

-HTML, PHP, and JSON are just a few of the many computer languages that are easily adaptable to the Face Comparison Validator API.

How To Get Started With Face Comparison Validator API

Just follow these steps:

The Use Of A Face Comparison Validator API For Employee Time And Attendance Tracking

Would you like to see how this API works? Take a look at this test: by choosing “Test Endpoint” after entering the “Compare Image With Image URL” option and uploading two test images in JPG format, you may see the outcomes. In this case, the two faces belong to the same person:

{
"statusCode": 200,
"statusMessage": "OK",
"hasError": false,
"data": {
"resultIndex": 0,
"resultMessage": "The two faces belong to the same person. ",
"similarPercent": 0.9042724605108994
},
"imageSpecs": [
{
"leftTop": {
"isEmpty": false,
"x": 718,
"y": 195
},
"rightTop": {
"isEmpty": false,
"x": 356,
"y": 176
},
"rightBottom": {
"isEmpty": false,
"x": 337,
"y": 538
},
"leftBottom": {
"isEmpty": false,
"x": 699,
"y": 557
}
},
{
"leftTop": {
"isEmpty": false,
"x": 859,
"y": 160
},
"rightTop": {
"isEmpty": false,
"x": 511,
"y": 111
},
"rightBottom": {
"isEmpty": false,
"x": 462,
"y": 459
},
"leftBottom": {
"isEmpty": false,
"x": 810,
"y": 508
}
}
]
}
Published inAPIAppsApps, technologyTechnology
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