Changelog Livennes

2.5 

 

 General optimization of the capture and validation flow to improve stability across consecutive sessions. 

 Performance adjustments to reduce latency when returning results to the host. 

 Initial improvements in evidence reduction (Base64) to decrease payload size. 

 

 2.6.0 

 

 Camera pipeline optimization for smoother performance on mid-range devices. 

 Evidence compression adjustments to reduce transfer size and improve delivery times. 

 UX improvements with clearer feedback during alignment and capture. 

 

 2.7.0 

 

 Facial tracking optimization for better face stability within the frame. 

 Performance improvements in frame processing to reduce sustained CPU/GPU load. 

 Flow logic adjustments to improve consistency between capture, analysis, and results. 

 

 2.8.0 

 

 Optimization of evidence return to the host through more efficient Base64 generation and encoding. 

 Further reduction of image/evidence size while maintaining reference quality. 

 Visual experience improvements for greater consistency across resolutions and devices. 

 

 2.9.0 

 

 Optimization of camera startup and shutdown, as well as flow recovery during retries. 

 Memory usage improvements to prevent performance degradation after multiple runs. 

 User feedback adjustments to reduce friction and increase process clarity. 

 

 3.0.0 

 

 Major SDK evolution focused on performance and lifecycle stability of the component. 

 Analysis pipeline optimization for smoother execution and more consistent response times. 

 Improvements in resource handling (camera and memory) for longer sessions. 

 

 3.0.3 

 

 Optimization of camera session startup and transition into analysis to reduce startup times. 

 Efficiency adjustments to reduce CPU/GPU spikes during initialization. 

 

 3.0.8 

 

 Improvements in evidence compression and serialization: lighter Base64 and faster delivery to the host. 

 Flow optimization to reduce latency between capture and final result. 

 

 3.1.0 

 

 Logic adjustments for greater consistency in the validation flow. 

 Memory usage optimization in repeated sessions to improve stability. 

 

 3.1.5 

 

 UX improvements with clearer and more consistent feedback during the capture process. 

 Performance optimization on resource-constrained devices to maintain smoothness. 

 

 3.2.0 

 

 Optimization of the retry system without full reinitialization to improve flow continuity. 

 Evidence compression adjustments to reduce payload size while maintaining adequate quality. 

 

 3.2.6 

 

 Optimization of frame processing to reduce sustained CPU/GPU load. 

 Camera pipeline stability improvements for uninterrupted analysis. 

 

 3.3.0 

 

 Increased robustness of facial analysis under lighting variations and moderate movement. 

 Optimization of evidence generation and encoding for faster return to the host. 

 Performance adjustments to maintain more stable FPS during the session. 

 

 3.3.7 

 

 Optimization of camera module initialization time and analysis preparation. 

 Internal adjustments for a more stable experience during prolonged runs. 

 

 3.4.0 

 

 Facial tracking optimization for greater consistency of the face throughout the session. 

 Performance improvements in evidence compression (Base64) to reduce transfer size and timing. 

 Visual experience adjustments for consistency across different resolutions and devices. 

 

 3.4.6 

 

 Optimization of memory usage and resource release at the end of the flow to maintain stability. 

 UI/Render performance improvements through reduced style load and smoother transitions. 

 

 3.5.0.1 

 

 Integration of the new Liveness engine with advanced face detection and emotion/gesture analysis. 

 Optimization of the capture and validation flow. 

 Design and user experience improvements (UI/UX). 

 Reduced latency in the camera pipeline. 

 Greater robustness against flow manipulation. 

 

 3.5.2.0 

 

 Improved facial detection system for gesture recognition. 

 Specific optimization for devices with Snapdragon 8 Elite. 

 Strengthened anti-spoofing signals. 

 Greater efficiency in resource consumption during active sessions. 

 

 3.5.2.1 

 

 Optimization of component initialization and instantiation. 

 Localization and language consistency improvements. 

 Additional performance adjustments. 

 Refinement of control logic and result delivery.