A face verification API can assist expedite identity verification operations in areas such as banking, healthcare, and security, minimizing the need for human verification techniques and saving significant time and money.
Facial recognition APIs are quickly becoming a popular tool for companies wanting to better their manufacturing and labor processes. These APIs examine face traits and certify a person’s identification using powerful computer vision techniques.
Banks, for example, may utilize face recognition technology throughout the onboarding process to swiftly and correctly verify the identification of new clients, allowing them to create accounts faster and with more precision.
Simultaneously, healthcare providers may utilize the technology to match patient information with a patient’s face, ensuring that the correct therapy is given to the correct patient.
Overall, face recognition APIs are a significant tool for organizations seeking to optimize production and work processes, eliminate human labor, and improve security and accuracy.
In What Situations Might A Face Verification API Come In Handy?
By automating the identity verification process, a face verification API may drastically speed up workflow procedures. Manual verification processes may be decreased or eliminated using facial recognition technology, saving precious time and resources.
Banks, for example, can utilize a face verification API during the client onboarding process to swiftly verify the identification of new customers, allowing them to create accounts faster and with more accuracy.
Similarly, a face verification API in the workplace may rapidly and securely validate employee identities, allowing them to access critical resources without delay.
This streamlined process may lead to higher production and efficiency, which will benefit both the company and its stakeholders in the long run.
What is The Face Verification API?
Face Comparison Validator API from ZylaLabs API Hub analyzes facial traits and confirms a person’s identification using powerful computer vision techniques. Capturing a picture or video of a person’s face, extracting facial traits, and comparing them to a database of known faces to determine matches is the method.
The API retrieves two images from the URL in this case, and the AI handles the rest. The obvious outcome will be as follows:
This item will indicate if “the two faces belong to different people” or “the two faces belong to the same person” (in the case of a face match), and will respond as follows:
{
“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
}
}
]
}
You must first complete the following steps before you can begin utilizing it:
1- Navigate to Face Comparison Validator API and click “START FREE TRIAL” to begin using the API.
2- After enrolling with Zyla API Hub, you will receive your API key.
3- This endpoint will accept the picture URL and provide the comparison results. You’ll know whether the two images are of the same individual.
4- After you’ve located the necessary endpoint, run the API call by clicking the “run” button and viewing the results on your screen. And that’s all there is to it, right?
Related Post: Understand The Power Of Face Verification With An API