It is an essential complement to biometric verification and authentication.
It has an easy-to-use operator interface, and the user can finish the whole detecting process within seconds.
Fully automated detecting process can offload human stuff from performing the checks.
Provide additional anti-fraud rule configuration options, enabling financial institutions to perform a comprehensive fraud check.
Lower fraud risks and enhance the efficiency of businesses.
Scan the ID card as an image to the system.
Extract the information from the ID card image via OCR technology.
Detect and determine whether the ID card image is forged or not by using AI technology.
Output the result and reject the forged ID card application.
Check the authenticity of the applicant's ID documents.
Process the verifying actions with AML/KYC regulations.
Verify customer's identity and prevent the potential fraud risks.
Make confirmation of the applicant's identity.
Our data scientists ensure a smoothly automated workflow to detect forgery by using the best performing models and ingesting the accurate and appropriate data constantly.
Enable to recognize the forgery patterns which are hard to observe by human eyes, such as B&W/Photocopy; photos were taken by webcam; images were applied with a filter; blurred or covered images, different face image position, card colour and corner chape.
Forgery detecting can achieve as high as 99% accuracy.
The system performs up to 10 images/s.
Support high concurrency and do not have scalability issue.
Start the conversation with our team. We're always happy to help.