Face Verification API

PresentID Face verification API(photo id matching) evaluates whether two faces belong to the same person or not.

PresentID Photo ID matching API evaluates whether two faces belong to the same person or not. Face verification ensures a one-to-one (1:1) match of a face image captured at the time of onboarding with an image captured from a trusted credential such as a driver’s license, or a passport.

We have created a very deep convolutional neural network to extract very high-level features from a face for each person. We have provided a large-scale image database of faces from many sources e.g. web crowdsourcing, our built-in house dataset. There is a lot of diversity of races in the database. Our model inference time is 115ms on Intel CPU corei7 6700k. Especially in our solution, we save some frames that come from client SDK that is selected based on our own algorithm. This feature makes our matching stronger. Moreover, we save a checksum from a video to check duplicated videos.

Our method has got promising results under large appearance variations e.g. pose, age gaps, skin, glass, makeup, and beard.


**Input:**
- Image URL link

**Output:**
- Result index
- Image specs
- Similar percent
- Result message

**Features:**
- Less than 1second.
- Accuracy is %99.76 on the LFW face verification dataset, a very popular benchmark.
- Support IOS, Android, Windows, and Mac devices.
- The smallest faces are detected (50px * 50px).
- Easy integration with your app.

**Use Cases:**
- Access Control
- Onboarding
- Fintech
- Car sharing & Taxi
- Online Brokers
- Health Care
- Dating Apps
- Customer Support

**Rules & Restrictions:**
- Send data via an image URL.
- Image size should not exceed 8 MB.
- Also, the images should not be larger than 5000 pixels and smaller than 50 pixels.

API Documentation

Endpoints


Face verification API(photo id matching) evaluates whether two faces belong to the same person or not.

*Image size should not exceed 8 MB*
*Also, the images should not be larger than 5000 pixels and smaller than 50 pixels*



                                                                            
POST https://zylalabs.com/api/4005/face+verification+api/4788/send+image+with+image+url
                                                                            
                                                                        

Send image with image URL - Endpoint Features

Object Description
linkFile1 [Required]
linkFile2 [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
	"statusCode": 200,
	"statusMessage": "OK",
	"hasError": false,
	"data": {
		"resultIndex": 3,
		"resultMessage": "The two faces belong to the different people.",
		"similarPercent": 0.5538576119399039
	},
	"imageSpecs": [
		{
			"leftTop": {
				"isEmpty": false,
				"x": 452,
				"y": 107
			},
			"rightTop": {
				"isEmpty": false,
				"x": 276,
				"y": 110
			},
			"rightBottom": {
				"isEmpty": false,
				"x": 279,
				"y": 286
			},
			"leftBottom": {
				"isEmpty": false,
				"x": 455,
				"y": 283
			}
		},
		{
			"leftTop": {
				"isEmpty": false,
				"x": 953,
				"y": 172
			},
			"rightTop": {
				"isEmpty": false,
				"x": 329,
				"y": 248
			},
			"rightBottom": {
				"isEmpty": false,
				"x": 405,
				"y": 872
			},
			"leftBottom": {
				"isEmpty": false,
				"x": 1029,
				"y": 796
			}
		}
	]
}
                                                                                                                                                                                                                    
                                                                                                    

Send image with image URL - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/4005/face+verification+api/4788/send+image+with+image+url?linkFile1=https://i.ds.at/PKrIXQ/rs:fill:750:0/plain/2022/11/08/Jordan-StraussInvisionAP.jpg&linkFile2=https://m.media-amazon.com/images/M/MV5BMTc3MzY3MjQ3OV5BMl5BanBnXkFtZTcwODI3NjQxMw@@._V1_.jpg' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Face Verification API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

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Face Verification API FAQs

The PresentID Face Verification API is designed to confirm whether two facial images belong to the same individual. This is particularly useful for identity verification processes, such as confirming the match between a person and their photo ID in security checks and registration processes.

To use the API, submit two images via a POST requestβ€”one of a person's face and another from a photo ID. The API compares several facial features and structures between the two images, using advanced algorithms to analyze and determine the likelihood that the faces are the same. It then provides a similarity score or a binary result indicating a match or non-match.

The API supports several popular image formats, including JPEG, PNG, and BMP. Ensure that both images are of high quality and that the faces are clearly visible without obstructions for optimal results.

Yes, the API has usage limitations that depend on the user's subscription plan. These may include restrictions on the image file size and the number of verification requests per day or month. Detailed limitations are available on our pricing page or within your user dashboard.

Users might face several common errors: 400 Bad Request: This error can occur if the images are too large, of poor quality, or in an incorrect format. Check to ensure your images meet the API specifications. 401 Unauthorized: Occurs if the API key is missing, invalid, or expired. Verify that your API key is correctly applied to your requests. 429 Too Many Requests: Indicates exceeding the API usage limits according to your subscription plan. Consider adjusting your usage or upgrading your plan.

The API returns a JSON response containing the verification result, including a similarity percentage, a result message indicating whether the faces match, and image specifications detailing the coordinates of detected faces.

Key fields in the response include `resultIndex`, `resultMessage`, `similarPercent`, and `imageSpecs`. These provide insights into the verification outcome and the characteristics of the analyzed images.

The response data is structured in a JSON format with a top-level object containing `statusCode`, `statusMessage`, `hasError`, and a `data` object that includes the verification results and image specifications.

The endpoint accepts a single parameter: an image URL. Users must ensure the image meets size and dimension restrictions (not exceeding 8 MB and between 50 to 5000 pixels).

Data accuracy is maintained through a deep convolutional neural network trained on a diverse dataset, including various races and conditions. The model's performance is validated against benchmarks like the LFW dataset, achieving 99.76% accuracy.

Typical use cases include identity verification for access control, onboarding processes, fintech applications, car sharing, healthcare, and customer support, where confirming a person's identity is crucial.

Users can utilize the returned data by interpreting the `similarPercent` to gauge the likelihood of a match and using the `resultMessage` to determine the verification outcome, which aids in decision-making processes.

Quality checks include ensuring images are within specified size limits and dimensions, as well as verifying that faces are clearly visible. The API's advanced algorithms also enhance matching accuracy under various conditions.

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