Static liveness, action liveness detection, portrait verification, portrait comparison, helping enterprises better perform KYC, and providing overseas versions of liveness detection and portrait comparison

Supports online and offline modes, flexible combination of API+SDK, covers multiple scenarios including APP, H5, and mini-programs, optimizes models with various training methods such as metric learning, transfer learning, and multi-task learning
Face recognition features high concurrency, high throughput, and low latency. Even for million-scale face searches, it only takes hundreds of milliseconds to process, meeting your real-time usage needs
Customizable resource threshold alerts, timely feedback to operations personnel, helps you quickly respond to MySQL database runtime issues, balances resource usage, with 99.9% SLA guarantee
Completes dazzling pupil liveness detection through facial lighting solutions,配合 blinking, mouth opening, head shaking, left/right turning, up/down nodding and other actions, randomly captures multiple images for liveness judgment, customizable effective actions and verification sequence
Real-time detection through camera or uploading recorded videos, supports dazzling pupil liveness/random actions according to instructions/reading random numbers, ensures video immediacy rather than pre-recording, cloud-based liveness analysis, enhances attack resistance capability
Based on flaws in portrait images (moire patterns, imaging deformations, etc.),判断 whether the target is live, effectively prevents cheating attacks such as screen secondary re-shooting, supports single or multiple image judgment logic
Offline version of online image liveness detection, collects flaws in portraits (moire patterns, imaging deformations, etc.) to判断 whether the target object is live, can be used offline in network-free environments
Utilizes near-infrared imaging principles to achieve liveness judgment at night or under conditions without natural light, maintains high robustness when screens cannot image, material reflectivity differs, etc.
Based on 3D structured light imaging principles, constructs depth images through facial surface reflected light,判断 whether the target is live, can strongly defend against attacks such as images, videos, screens, molds, etc.
Users make corresponding actions according to prompts, accurately判断 user authenticity, effectively identifies欺骗行为 such as photos, videos, masks, etc.


Compares user's facial photos and ID basic information with authoritative data, obtains matching results of ID number, name, and face, quickly completes user identity verification, ensures it is the本人 and the document is genuine

For high-risk financial businesses such as investment理财, insurance claims, securities trading, etc.,让 users follow instructions to perform actions, complete liveness detection, ensure user identity authenticity, meet security requirements for remote account opening实名认证

The hotel industry is actively transforming to intelligent operations. In self-check-in scenarios at the front desk, use liveness detection technology to ensure真人 operation, achieve accurate and efficient verification of guest identity in unsupervised scenarios, reduce hotel manual operation costs, efficiently resist cheating behavior

Supports liveness detection during face registration, creates secure and complete face database, prevents不法分子 from forging, stealing, or misusing others' identities.同时 meets offline RGB/near-infrared/3D structured light liveness detection in poor network environments, high-precision resistance to cheating behavior, ensures access security while achieving high-efficiency passage
Apply for the selected API and complete real-name authentication and related certifications
After recharge and purchase, integrate and use the API in your application or system
Focusing on technology and services, open source plugins, quick API/SDK access, with full market authentication, detection, SMS, and voice capabilities in just 5 minutes