MiniAiLive - Face Liveness Detection
MiniAiLive - Face Liveness Detection: The Face Liveness Detection SDK from MiniAiLive is a security solution that distinguishes between a live person and a synthetic or non-live representation. This...
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What is MiniAiLive - Face Liveness Detection?
MiniAiLive - Face Liveness Detection is a cross-platform biometric verification SDK that ensures only live, real individuals access systems by preventing spoofing attempts using face masks, photos, or deepfake videos. The tool uses advanced 3D Passive Face Liveness Detection technology that creates a three-dimensional map of a user's face rather than relying on flat 2D images, providing superior security against imposter attempts.
MiniAiLive - Face Liveness Detection pricing
Pricing model: Free
MiniAiLive offers custom plans quoted on demand with no free trial available. The pricing model includes paid options starting from free, but specific plan details and costs are not publicly listed. Customers must contact the company via WhatsApp (+19162702374), email ([email protected]), live chat, Telegram, or Skype to get trial licenses and custom pricing quotes. The SDK is offered as an on-premise, royalty-free, lifetime solution.
MiniAiLive - Face Liveness Detection pros
- 100% spoofing-prevention rate for 3D printed and resin facial masks
- Less than 1-second response time, fastest liveness detection worldwide
- Passive mode requires no active user participation, just a selfie
- Works completely offline and locally on client side
- Cross-platform SDKs for iOS, Android, Windows, and Linux
- ISO 30107 compliance tested by 70+ partners
- Deepfake detection with cutting-edge AI techniques
- Age estimation feature with +/-3 years accuracy
- Works in low light, bright sun, and poor camera settings
- Real-time live feedback minimizes errors and reduces retries
- Prevents attacks from paper masks, silicone masks, wax figures
- Blocks high-resolution videos and pre-recorded deepfake videos
- Customizable and extensible to client-specific needs
- Lightweight SDK easy to roll out across platforms
- Server-side and client-side processing options available
- No additional verification steps needed, instant face recognition
- Protects fintech, healthcare, schools, and public services
MiniAiLive - Face Liveness Detection cons
- No free trial currently available
- Custom plans quoted on demand, no transparent pricing
- Active mode has higher accuracy but requires user head turning
- Passive mode has improved UX but lower accuracy than active
- Requires front-facing camera on mobile devices
- No web-based free demo for testing before purchase
- Contact required for trial license, not self-service
- May not suit organizations needing immediate low-cost deployment
Frequently asked questions about MiniAiLive - Face Liveness Detection
What is Face Liveness Detection?
Face Liveness Detection is the process of ensuring that a system is accessed by a live/real individual only. It prevents spoofing attempts where someone tries to access the system using a face mask, photo, or deepfake video. The technology distinguishes between a live person and a synthetic or non-live representation.
What is 3D Passive Liveness Detection?
3D Passive Liveness Detection is an advanced form of biometric authentication that creates a three-dimensional map of your face rather than using 2D flat images. Passive detection does not require any active participation from the user; instead, it analyzes the user's face using various techniques to detect signs of life while working in the background.
What is the difference between active and passive liveness detection?
Active mode requires users to turn their head during the session, guaranteeing highly accurate liveness detection. Passive liveness check simply involves taking a selfie, offering improved user experience but with lower accuracy than active detection. Both modes can be performed on the same backend without modifications.
What spoofing methods does MiniAiLive detect?
MiniAiLive's Face Liveness Detection provides protection against several spoofing methods including printed photos, digital photos, digital videos, 3D masks, paper masks, silicone masks, wax figures, high-resolution videos, pre-recorded videos, and deepfake videos that bypass the camera.
What platforms does the SDK support?
The MiniAiLive Face Liveness Detection SDK is cross-platform and compatible with iOS and Android mobile platforms, as well as Windows and Linux systems. Complete API integration is available for mobile, web, and desktop client-side capture with processing on client or server side.
Does MiniAiLive offer a free trial?
MiniAiLive does not currently offer a free trial. However, customers can contact the company to get a trial license through WhatsApp (+19162702374), email ([email protected]), live chat, Telegram, or Skype for evaluation purposes.
What is the response time for liveness detection?
MiniAiLive empowers the fastest liveness detection system in the world with less than 1-second response time. The system instantly recognizes a face within one second, eliminating the need for additional verification steps.
Is MiniAiLive compliant with industry standards?
Yes, MiniAiLive is ISO 30107 compliant, having been tested by 70+ partners and by development and security teams for hundreds of apps and numerous State and Federal Governments, ensuring best-in-class precision for digital identity verification.
Can MiniAiLive estimate age?
Yes, the liveness verification module can provide an estimated age of the person with approximately +/-3 years accuracy by leveraging advanced AI algorithms, in addition to enhancing security against spoofing attacks, deepfakes, and fraud.
Which industries use MiniAiLive Face Liveness Detection?
The financial sector (banks for customer onboarding, account verification, secure transactions), healthcare (patient records, telemedicine sessions, insurance claims), governments (digital identity systems), and e-commerce are the largest adopters. It also protects fintech, schools, and public services while helping meet KYC and AML regulatory compliance.