Liveness Detection
Add action-based liveness checks to your face verification flow. Ask for blinks or head turns and check the response.
Identity & verification · Full source code
Face Recognition Engine
Detect, track and re-identify faces in video. Start with a working C++ engine and adapt the matching to your application.
$325 USD · Digital source package
Checkout and downloads via Payhip. Applicable taxes calculated at checkout. Commercial license; no support or custom integration included.
ImplementationC++ / OpenCV
Browser demoWebAssembly
DeliveryDigital download
▶ Watch the recorded demonstration
Video loads only when you choose to play it.
What the engine does
- Detect faces and assign IDs to tracked viewers.
- Extract and compare facial features.
- Re-identify a returning face after it leaves the camera view.
- Inspect the matching logic and adapt it to your own workflow.
Where it fits
For developers building face matching or recognition features into a larger application, with control over the source code and how camera data is processed.
What to validate before you buy
Recognition is probabilistic and is not a liveness check. Validate false matches, missed matches, thresholds and camera conditions for your use case. Combine with a suitable liveness or anti-spoofing component where needed.
Inside the download
- Complete C++ engine source
- Pretrained networks and required assets
- Code documentation
- Emscripten build instructions
- Precompiled OpenCV WebAssembly module
- Guide to building OpenCV for WebAssembly
Inspect the public code reference to understand the implementation before purchasing.
Integration essentials
Check your build environment.
- Required skills
- C++ programming, OpenCV integration and basic understanding of neural networks.
- Browser build
- Emscripten compiles the engine to WebAssembly. Follow the included instructions and use the supplied OpenCV module.
- Other platforms
- Desktop, server, mobile and edge builds require the appropriate OpenCV dependency and build configuration. Porting and platform-specific optimization are your responsibility.
- Performance
- Depends on camera resolution, face count, models, hardware and browser. Evaluate representative conditions; the browser demo is not a benchmark for every device.
License & handover
Clear terms from the start.
You may study and modify the code, integrate it into your own product that adds substantial value, and sell that product under the software license.
The supplied source must remain private. You may not resell the software as a standalone library, SDK or toolkit. Third-party components retain their own licenses.
Installation, integration, consulting, guaranteed fixes and ongoing maintenance are not included. Updates are discretionary. Review the support policy before checkout.
Digital sales are final except where required by law. Read the purchase FAQ.
Related engines
Explore adjacent capabilities.
Each engine is a separate purchase. Combining them requires integration.
Face Anti-Spoofing
Evaluate a neural-network approach to detecting photo and screen presentation attacks in a face verification workflow.
Audience Measurement
Measure viewing time and gaze-based attention around a display, with facial expression estimates. Build the results into your own analytics.