Face Match API
Use Face Recognition Technology To Accurately Match Faces.
Your success metric is our only performance metric.
4
Applicantgrowth
99
Reduced fraud80
Cost reduction60
Less customerdrop-offs
growth
drop-offs
Onboard users globally, stay compliant locally.
Onboard only genuine customers with the face match API.
Verify customer identity in real-time within seconds.
Give a frictionless onboarding experience.
Elevate your verification process with face mask detection.
Go live in just 2-4 weeks!
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Our Success Stories
Seema Kumar
Country Leader, IBM India
It is answering the question, how do you build trust online.
It uses APIs on visual recognition to build digital trust.
Bala Srinivasa
Managing Director, Arkam Ventures
We were attracted to the founder’s clarity of thought
and their early proof points in building a proprietary platform that could become an industry.
Rajan Anandan
Managing Director, Sequoia Capital and Surge
Signzy is a standout example of tech-enabled disruption.
Ashith Kampani
Chairman, Cosmic Mandala15 Group
Signzy is redefining the limits of innovation in building trust online.
They are committed to delivering a secure and positive experience to their clients.
FAQs for Face Match API and Face Mask Detection
What is the Face Match API?
The Face Match API is a tool used to determine whether two images belong to the same person. By comparing the two images, it provides a ratio of similarity and a match percentage to help verify if the images are of the same individual.
How do I use the Face Match API?
You can use the API by uploading two images or providing URLs for the two images you want to compare. Optionally, you can set a threshold value between 0.05 and 0.95 to determine the minimum match percentage required for a result to be considered true.
What kind of results can I expect from the Face Match API?
The API returns the following:
- Verified: True or False, indicating whether the images match.
- Message: A description of whether the verification was successful or not.
- Match Percentage: The percentage of similarity between the two images.
What is the purpose of the optional threshold value?
The threshold value helps you set the sensitivity of the match. If the match percentage is greater than or equal to the threshold, the result will be True; otherwise, it will be False. This allows you to adjust the API’s precision based on your needs.
What is Face Mask Detection?
Face Mask Detection is a feature developed by Signzy to identify whether a user is wearing a mask or not during remote onboarding processes. It uses facial landmarks to detect mask usage and provides a confidence score to indicate the accuracy of the detection.
How does the Face Mask Detection process work?
- The end customer provides a selfie.
- The client sends the selfie image to Signzy.
- Signzy detects if the user is wearing a mask by analyzing facial landmarks.
- Signzy returns a response indicating whether a mask is detected, along with a confidence score.
What are the key features of the Face Mask Detection?
- Accuracy: More than 98%.
- Platform Agnostic: Works with RESTful API.
- Response Time: Less than 3 seconds.
- Data Security: Secure storage and purging policy.
- Image Formats: Supports JPG and PNG.
- Max Image Size: 7 MB.
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