Abstract
This disclosure details a vision-centric multimodal system for mitigating false-positive face detections on portable computing devices. The system distinguishes physical human users from 2D media displays—including high-resolution photographs and digital screens—by cross-referencing a primary computer vision module with lightweight acoustic source localization and Wi-Fi channel state analysis. By evaluating the spatiotemporal synchronization among visual facial features, auditory signals, and wireless ambient micro-movements, the system identifies and suppresses non-physical facial entities in real-time. Crucially, this multi-modal pipeline operates locally on low-power edge hardware without invoking the primary application processor or relying on neural network acceleration, thereby maximizing energy efficiency and ensuring user privacy.
Creative Commons License
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Recommended Citation
INC, HP, "Vision-Centric Multimodal System for False-Positive Mitigation via Lightweight Wireless-Acoustic Verification", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11114