information community file
In vivo detection
There are up to 10 offline live detection methods, including dazzle pupil/action/digital reading, to identify whether users in the business scene are "real people", effectively resist cheating behaviors such as photos, videos, 2D/3D molds, and ensure business security
Function introduction
Application scenarios
Characteristic advantages
Usage
Product pricing
Support and communication
Related recommendations
Function introduction
Application scenarios
Financial remote account opening
Hotel self-service check-in
Face brushing gate passing
Financial remote account opening
For high-risk financial businesses such as investment and wealth management, insurance claims, and securities trading, in order to reject attacks in the form of second remake, picture deduction, printout, video frame drawing, and high imitation mold, let users act according to instructions, complete live detection, ensure user identity authenticity, and meet the security requirements of remote account opening real name authentication, Build a financial risk control system in a segmentation scenario
Cooperation cases
 Taikang Insurance
 Duxiaoman Finance
Characteristic advantages
Flexible combination of multiple schemes
Support online and offline modes, API+SDK flexible combination, covering APP, H5, applet and other use scenarios
Adapt to mainstream hardware modules
Perfect compatibility with mainstream lens modules in the market, rapid development with low threshold
Stable and efficient performance
Low power consumption, low CPU utilization, balanced resource utilization, 99.9% SLA guarantee
Usage
Online call API
API interfaces such as live online pictures, live video, and random verification code are provided to meet the needs of online use of live detection functions, and can be quickly integrated into H5 pages such as public accounts, applets, and PC terminals
Mobile terminal offline collection SDK
Provide pupil dazzling/action matching/silent live detection, support H5 and APP scenarios
Device side offline identification SDK
The device side offline face recognition SDK provides three live detection functions of offline RGB/near-infrared/3D structured light, which are fast integrated and have high security and defense capabilities
Privatization deployment
Two privatization schemes are provided: all-in-one machine and software deployment package. After being deployed to the local server, it can achieve the same capabilities as the live detection cloud interface. It is suitable for the intranet environment with higher security level and supports distributed high concurrency business processing
Product pricing
Cloud API service
Offline SDK
Privatization deployment
H5 real-time live detection
Realized through H5 face real name authentication scheme
No need to record video
Up to 10QPS
Living Programme
Dazzle the pupil in vivo
Silent Living
Action Living Body
View details
Online Photo Live API
Free test amount
Up to 1000 times
Concurrency support
Up to 10QPS
Customer service response
7 * 24 hours
By Times
zero point one
From RMB/time
View details
Video live detection API
Free test amount
Up to 1000 times
Concurrency support
Up to 10QPS
Customer service response
7 * 24 hours
Price
zero point two
RMB/time
View details
Random check code API
Used with video live detection API
Free test amount
Up to 1000 times
Concurrency support
Up to 10QPS
Customer service response
7 * 24 hours
Price
zero point zero one
RMB/time
View details
Experience the ability of live detection immediately and free of charge
Public cloud API can enjoy up to 1000 free test resources
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Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique