Facial recognition technologies are becoming increasingly vital to automate processes and jobs in a wide range of industries. By using facial recognition, APIs can quickly and accurately verify a person’s identity, reducing the need for manual verification processes that can be time-consuming and error-prone.
The benefits of automation using facial verification APIs are numerous. For example, in the financial sector, automating identity verification can speed up the customer onboarding process, making it easier for new customers to open accounts or apply for loans. In healthcare, automating patient identity verification can help prevent medical identity theft and improve patient safety.
Automating identity verification with facial verification APIs can also enhance security, particularly in industries such as border control and access control. By using facial recognition technology, security personnel can quickly verify the identity of individuals, reducing the risk of unauthorized access.
Another key benefit of automation using facial verification APIs is increased productivity. By automating manual verification processes, businesses can free up staff time to focus on more value-added tasks, ultimately increasing overall productivity.
Overall, these are vital uses for a tool that can automate processes and jobs in various industries. The benefits of automation using this technology include increased accuracy, enhanced security, and improved productivity, making it an essential component of many organizations’ workflows.
What Are The First Steps To Use A Face Verification API?
The first steps to using a face verification API involve finding a provider that offers the service and signing up for an account. Once you have an account, you will need to follow the provider’s documentation to integrate the API into your system.
You will also need to provide a database of known images for the API to compare against. For this instance, we will be utilizing Face Comparison Validator API provided by ZylaLabs API Hub. We have tested this API and have found it to be the perfect choice for demonstrating an example of an API call when comparing two images.
In this example, The API requests two photographs from the URL, and the AI will handle the rest. The intuitive result will be as follows:
This item will show 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 provides the following response:
{
“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
}
}
]
}To start using it, you must first complete the following steps:
1- Go to Face Comparison Validator API and select “START FREE TRIAL” to get started with the API.
2- You will be issued your personal API key after registering with Zyla API Hub.
3- This endpoint will receive the image URL and provide the results of the comparison. You’ll be able to tell if the two photographs are of the same person.
4- Once you’ve found the required endpoint, execute the API request by clicking the “run” button and viewing the results on your screen. And that’s it, super easy, right?
With the API integrated and properly configured, you can then use it to automate identity verification processes in your workflows, super easy!
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