Photo ID Matching

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.

Ability & Potentials

Less than 10 seconds.
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.
Rules & Restrictions
Send data via Base64 or an image URL or an image file.
Image size should not exceed 8 MB.
Also, the images should not be larger than 5000 pixels and smaller than 50 pixels.
Use Cases
Attendance systems
Dating websites
Digital banking
Visitor identification
Expedited service
Access management
Public safety
Fraud prevention
Know your customer

Try Photo ID Matching Free

PresentID | FaceverificationDemo
Upload the first face
PresentID | FaceverificationDemo
Upload the second face 
json output
ResultIndex = 0: It means 2 faces belong to the same person with probability of 100%.
ResultIndex = 1: It means 2 faces belong to the same person with probability of 80% to 100%.
ResultIndex = 2: It means 2 faces belong to the different people with probability of 80% to 100%.
ResultIndex = 3: It means 2 faces belong to the different people with probability of 100%.

Try Photo ID Matching in PresentID - RapidAPI

Are you a developer? For all the APIs just subscribe it in free plan and integrate it into your app easily.

Photo ID Matching
01 Photo ID Matching
PresentID Photo ID matching API evaluates whether two faces belong to the same person or not.
PresentID | Loading