Face recognition technology is a subset of biometric authentication that uses facial features to identify a person. It enables the system to verify the identity of a person based on their facial features, and it is used in various fields, such as security, retail, banking, and so on. Face recognition can be done manually or automatically. Manual face recognition is done by a human who compares two faces to see if they are the same person. On the other hand, automatic face recognition is done by a computer program or machine that compares facial features using algorithms and artificial intelligence (AI).
Businesses can use it to improve security at their facilities and protect their employees and customers from unauthorized access. They can also use it to identify potential threats and criminals. On the other hand, individuals can use it to protect their privacy by setting up secure login credentials for websites and apps. In any case, if you, as a developer, need to enhance security measures, we recommend using an API for detecting faces. This kind of tool allows you to compare two faces to determine whether they belong to the same person or not, and it requires no effort on your part.
Which Is The Best API For Detecting Faces Available In 2023?
Although there are many APIs for detecting faces available online, not all of them provide the best features or are the safest to use. That’s why we advise you to choose the Face Comparison Validator API from Zyla API Hub. This one is known for being secure and reliable.
Face Comparison Validator API allows you to compare two faces and determine whether they belong to the same person or not. This tool makes use of artificial intelligence which allows it to analyze and compare features such as the nose, eyes, mouth, and more. Since it returns a result, Face Comparison Validator API also provides a confidence score that indicates how similar the two faces are.
However, if you are a developer, you must know these benefits:
–Face Comparison Validator API accepts two inputs: the URL of the first image to compare and the URL of the second image to compare against the first image (either as a new URL or as part of the first image URL). The output will be an object containing three keys: similarity percentage, which will range from 0.01 to 0.99; angleDelta, which will range from 0 to 0.01; and offsetDelta, which will also range from 0 to 0.01.
– This API is simple to use because it provides an interface that supports a variety of programming languages, including JSON, PYTHON, C#, MYSQL, and others. Furthermore, its support crew is always accessible to assist you with any issues you may experience.
-It is also incredibly dependable and secure because it is regularly updated to guarantee that the information presented is accurate and up to date.
How To Start To Test With For This API For Detecting Faces?
Just follow these steps:
However, if you want to see how Face Comparison Validator API works? Look at this test: in this case, after uploading two pictures you want to analyze, you will get the results that indicate the face does not belong to the same person:
{
"statusCode": 200,
"statusMessage": "OK",
"hasError": false,
"data": {
"resultIndex": 3,
"resultMessage": "The two faces belong to the different people.",
"similarPercent": 0.48363414338826516
},
"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": 382,
"y": 35
},
"rightTop": {
"isEmpty": false,
"x": 202,
"y": 60
},
"rightBottom": {
"isEmpty": false,
"x": 227,
"y": 240
},
"leftBottom": {
"isEmpty": false,
"x": 407,
"y": 215
}
}
]
}