-
Notifications
You must be signed in to change notification settings - Fork 1
Home
denys.kramar edited this page Jun 25, 2025
·
5 revisions
PerchEye is a cross-platform face recognition SDK that provides fast and accurate face detection, enrollment, and verification capabilities for mobile applications.
- Face Detection - Detect faces in images with high accuracy
- Face Enrollment - Create unique face templates for user registration
- Face Verification - Authenticate users by comparing faces against enrolled templates
- Cross-Platform - Support for Android, iOS, Flutter, and React Native
- Offline Processing - All operations work locally without internet connection
- High Performance - Optimized for mobile devices
| Platform | Status | Version |
|---|---|---|
| Android | ✅ | API 21+ |
| iOS | ✅ | iOS 11.0+ |
| Flutter | ✅ | 2.0+ |
| React Native | ✅ | 0.60+ |
Choose your platform to get started:
- Android Integration - Setup and integration guide for Android apps
- iOS Integration - Setup and integration guide for iOS apps
- Initialize the SDK in your application
- Enroll a user's face to create a unique template
- Verify identity by comparing new images against enrolled templates
Image → Face Detection → Enrollment/Verification → Result
- Similarity Threshold: 0.8+ recommended for most applications
- Face Quality: Clear, well-lit, frontal face images work best
- Single Face: Only one face per image is supported
- Security: Face templates are stored as hashes, not actual images
If you encounter issues or have questions:
- Check the platform-specific integration guides
- Review the troubleshooting sections
- Open an issue on GitHub
- Contact support team
Latest Version: 1.0.3-4
License: Commercial License
PerchEye is a cross-platform face recognition SDK that provides fast and accurate face detection, enrollment, and verification capabilities for mobile applications.
- Face Detection - Detect faces in images with high accuracy
- Face Enrollment - Create unique face templates for user registration
- Face Verification - Authenticate users by comparing faces against enrolled templates
- Cross-Platform - Support for Android, iOS, Flutter, and React Native
- Offline Processing - All operations work locally without internet connection
- High Performance - Optimized for mobile devices
| Platform | Status | Version |
|---|---|---|
| Android | ✅ | API 21+ |
| iOS | ✅ | iOS 11.0+ |
| Flutter | ✅ | 2.0+ |
| React Native | ✅ | 0.60+ |
Choose your platform to get started:
- [Android Integration](Android-Integration) - Setup and integration guide for Android apps
- [iOS Integration](iOS-Integration) - Setup and integration guide for iOS apps
- Initialize the SDK in your application
- Enroll a user's face to create a unique template
- Verify identity by comparing new images against enrolled templates
Image → Face Detection → Enrollment/Verification → Result
- Similarity Threshold: 0.8+ recommended for most applications
- Face Quality: Clear, well-lit, frontal face images work best
- Single Face: Only one face per image is supported
- Security: Face templates are stored as hashes, not actual images
- [GitHub Repository](https://github.com/Onix-Systems/PerchEye-SDK-Multiplatform)
- [Documentation](https://onix-systems.github.io/PerchEye-SDK-Multiplatform/)
- [Download SDK](https://github.com/Onix-Systems/PerchEye-SDK-Multiplatform)
If you encounter issues or have questions:
- Check the platform-specific integration guides
- Review the troubleshooting sections
- Open an issue on GitHub
- Contact support team
Latest Version: 1.0.3-4
License: Commercial License