Customer Certification
Number authentication, certificate identification, live detection, real name authentication
Enterprise Communication
Domestic SMS, international SMS, video SMS, WhatsApp
Number Insight
Number status, on the network status, secondary number, number transfer network
Live Detection
Static live body testing, dynamic live body testing, portrait verification, portrait comparison, to help enterprises better KYC, and provide overseas versions of live body testing, portrait comparison
Product Characteristics
Flexible Combination Of Multiple Solutions
Supports both online and offline modes, with a flexible combination of API and SDK, covering multiple scenarios such as APP, H5, and mini programs, and integrating multiple training methods such as metric learning, transfer learning, and multitasking learning to optimize the model.
Responsive
Face recognition has the characteristics of high concurrency, high throughput, and low latency. Even for millions of face searches, it can still be processed in just a few hundred milliseconds, meeting your real-time usage needs.
Stable and efficient performance
Customize resource threshold alarms and provide timely feedback to operation and maintenance personnel to help you quickly respond to issues during MySQL database operation, balance resource usage, and ensure 99.9% SLA.
Product Introduction
APP Live Detection
Complete dazzling eye detection through facial lighting scheme, cooperate with actions such as blinking, opening mouth, shaking head, turning head left and right, nodding up and down, randomly grab multiple images for live body detection, and customize effective actions and verification sequence
H5 in vivo detection
Real time detection or recording of video uploads through a camera, support for dazzling live objects/randomly taking actions according to instructions/reading random numbers, ensuring the immediacy of the video, rather than pre recording, and cloud based live analysis to enhance resistance to attacks
Online Image Live Detection API
Based on the flaws of the portrait in the image (such as moire patterns, imaging abnormalities, etc.), determine whether the target is alive, effectively preventing cheating attacks such as screen re filming, and supporting single or multiple judgment logic
Offline RGB live detection
The offline version of online image liveness detection, which collects flaws in human portraits (such as moire marks, imaging abnormalities, etc.) to determine whether the target object is alive, can be used offline in a netless environment
Offline near-infrared live detection
Utilizing the principle of near-infrared imaging to achieve live body detection at night or without natural light conditions, maintaining high robustness in situations where the screen cannot be imaged or the material reflectivity is different
Offline 3D structured light live detection
Based on the principle of 3D structured light imaging, a depth image is constructed by reflecting light from the face surface to determine whether the target is a living object, which can effectively defend against attacks such as images, videos, screens, molds, etc
Application Scenario
Financial Remote Account Opening
Hotel Self-service Check-in
Face Brushing Gate Access
Financial Remote Account Opening
For high-risk financial services such as investment and wealth management, insurance claims, and securities trading, in order to resist attacks in the form of secondary remakes, deduction of images, printouts, video frames, and high imitation molds, users are required to take actions according to instructions, complete live detection, ensure the authenticity of user identities, and meet the security requirements of remote account opening real name authentication. A financial risk control system is built in segmented scenarios
