US 12,659,418 B2 · System and method for multi-modal detection of covert cognitive entrainment signals in digital media

Abstract

A multi-modal system for real-time detection of covert cognitive entrainment signals in digital media is disclosed. The system includes an Audio Analysis Engine that processes audio streams through signal acquisition, pre-processing, frequency domain analysis, feature extraction, and threat scoring to detect binaural beats and isochronic tones. A Visual Analysis Engine processes video frames via platform-compliant acquisition, performing luminance FFT and regional flicker detection to identify photic driving stimuli. An Electromagnetic Analysis Engine monitors EM signatures. A Multi-Modal Threat Consolidation Engine synchronizes timestamps and frequency data across all engines, applying a synchronization weighting factor when audio and visual frequency signatures match within 0.5 Hz. This cross-modal correlation dramatically increases threat scores for coordinated attacks. The system classifies detected signals into five threat levels (None, Low, Medium, High, Critical) based on frequency difference, channel coherence, signal duration, and synchronization factor, providing actionable protection while operating within platform security constraints.

Claims10

Dependent claims

A computing device for detecting covert cognitive entrainment signals in digital media, comprising:

a media input interface configured to receive a digital media stream;
a processor and a memory storing instructions that, when executed by the processor, instantiate an Audio Analysis Engine configured to isolate and analyze an audio component of the digital media stream for binaural beats and targeted frequency differentials;
the memory further storing instructions that, when executed by the processor, instantiate a Visual Analysis Engine configured to isolate and analyze a visual component of the digital media stream for Regional Flicker and photic driving stimuli;
the memory further storing instructions that, when executed by the processor, instantiate an EM Analysis Engine configured to detect electromagnetic signatures;
and the memory further storing instructions that, when executed by the processor, instantiate a Multi-Modal Threat Consolidation Engine configured to combine individual threat scores from the Audio Analysis Engine, the Visual Analysis Engine, and the EM Analysis Engine, and calculate a consolidated threat score based on the combined threat scores.

2 more elements

Dependencies are inferred from the claim text.

System and method for multi-modal detection of covert cognitive entrainment signals in digital media

Life of this patent

System and method for multi-modal detection of covert cognitive entrainment signals in digital media

Life of this patent

Abstract

Claims10