The recently popular face-changing APP has attracted a lot of people. Prepare a personal photo of your face, and you can use this APP to replace the faces of stars in movie and TV series clips with your own face. This function is very novel and fun, and it also allows many people to experience the feeling of acting in a film and television drama.

I also followed the trend and tried this face-changing APP. The final effect was really good and it was really fun. But the process of using it makes me not only have some doubts, but even its safety.

First of all, logging in requires a mobile phone number to obtain a dynamic verification code. After selecting a personal photo, there will be a portrait verification. The user needs to perform three instructions in front of the camera, such as blinking, turning the head, opening the mouth, and lowering the head. The system can only proceed to the next step after the system determines that the photo you uploaded is you. The purpose is to prevent someone from maliciously using other people's photos to change faces.

This wave of operations not only reminds me of Alipay’s face payment, but I think there are many similarities between them. This APP directly collects the user's facial information. If this facial information is obtained by some people with ulterior motives, wouldn't it be possible to swipe other people's Alipay money with a little processing?

The emergence of face-changing APP has definitely brought a severe test to face-swiping payment. Our current face-swiping payment is usually achieved by recognizing human facial features. There have been reports that someone used a 3D head model to crack facial recognition payments. This news has caused many people to worry. This also illustrates the point that some people may use the facial features collected by the face-changing APP to crack facial recognition payment.

Payment by facial recognition has brought us a lot of convenience. When paying, just extend your face and you’re done. However, this technology needs to be more complete and safer. This requires developers to continuously improve the complexity of face recognition so that other technologies cannot crack it.