Product code | Solution description | Integration method | Supported regions |
Captures and detects the user's face and interactive actions in real time using the camera. It uses the Qwen-VL large model for in-depth detection of forgery threats to determine if the user is a real person. |
| China (Hong Kong), Singapore, Indonesia (Jakarta) | |
Captures and detects the user's face and interactive actions in real time using the camera to verify if the user is a real person. It supports comparison with a stored face to verify if it is the same person or searching a stored face database to check for duplicates. It also supports automatic registration to a specified face database upon successful verification. |
| China (Hong Kong), Singapore, Indonesia (Jakarta) | |
Captures and detects the user's face and interactive actions in real time using the camera to determine if they are a real person. |
| China (Hong Kong) | |
Analyzes a user's facial image to determine if they are a real person. | Server-only (API) | China (Hong Kong) | |
Detects if the current user is a real person. It supports comparison with a previously stored face to verify if it is the same person. This is suitable for secondary authentication scenarios. |
| China (Hong Kong) | |
Collects device features and reports them to the server for analysis to determine device threats. |
| China (Hong Kong) | |
Collects device features used for face scanning and uses the Tongyi text-based large model for in-depth analysis to detect device threats. |
| China (Hong Kong), Singapore, Indonesia (Jakarta), US (Silicon Valley), Germany (Frankfurt) | |
Recognizes and calculates the similarity between two face images to determine if they belong to the same person. | Server-only (API) | China (Hong Kong), Indonesia (Jakarta) | |
Passes a face image and uses an algorithm to detect if there is a deepfake threat. | Server-only (API) | Singapore |