This white paper presents high-level concepts underlying the Phocoustic™ physics-anchored anomaly-detection and cognitive-reasoning architecture. It does not disclose internal algorithms, thresholds, parameters, execution logic, or implementation details. All specific methods and data structures are defined exclusively within Phocoustic Inc.’s U.S. and international patent filings. Nothing on this page should be interpreted as revealing proprietary logic, limiting patent-claim scope, or providing enabling technical disclosure.
This white paper outlines the conceptual foundations of the Phocoustic™ semantic drift engine, a framework for interpreting change using physics-anchored principles rather than solely statistical or training-dependent models. The descriptions below summarize motivations, outcomes, and possible applications while avoiding any disclosure of patent-protected internal mechanisms.
The system is grounded in the idea that meaningful anomalies and early-stage instabilities often reveal themselves through structured, persistent change rather than isolated visual features. Phocoustic focuses on representing and contextualizing this change, enabling downstream modules—semantic, cognitive, or otherwise—to operate with physically qualified evidence.
Traditional computer-vision pipelines rely heavily on pattern recognition. While powerful, these approaches may struggle in environments where defects are rare, visually subtle, or highly variable. Even advanced neural networks can overlook early instability signals because such signals may not appear prominently in pixel intensity alone.
Phocoustic provides an alternative viewpoint. Rather than evaluating “what an object looks like,” Phocoustic focuses on “how an object behaves across time.” This shift allows the system to highlight physical irregularities that precede conventional defect signatures. Classical drift phenomena—small displacements, localized reflectance deviations, micro-stress indicators—may become visible long before any overt failure or defect appears.
Phocoustic's physics-anchored semantic drift extraction refers to a family of representations and filtering principles that emphasize persistent, structured, and physically plausible change. Phocoustic does not evaluate images in isolation. Instead, it seeks stable temporal patterns that may indicate emerging anomalies.
Phocoustic highlights change that aligns with known physical properties such as motion continuity, spatial coherence, surface reflectance patterns, and domain-specific expectations. Changes inconsistent with the environment—such as random noise—are conceptually deprioritized.
The specifics of the Phocoustic framework—including internal data structures, admissibility criteria, quantization flows, and cross-module interactions— are patent-protected and intentionally omitted from this summary.
Phocoustic serves as a foundational layer that prepares evidence for additional stages of interpretation. The Phocoustic system includes conceptual modules that perform:
Phocoustic’s role is not to label defects, diagnose causes, or determine meaning. Instead, it aims to provide a physically qualified representation of change that downstream reasoning layers can interpret within their own patent-defined frameworks.
Drift-centered evaluation enables several key advantages in industrial, scientific, and mobility settings:
Phocoustic platforms are designed to operate across diverse environments where physical change is meaningful. Example applications include:
These examples illustrate potential use cases rather than implementation details. The underlying methods remain protected by Phocoustic Inc.’s patent filings.
Phocoustic provides a stability-oriented foundation for a broader physics-anchored cognitive framework. Early reasoning and semantic-development components rely on evidence that reflects real physical coherence over time, rather than correlations derived solely from statistical pattern matching. Phocoustic contributes by preparing representations of change that are physically qualified and consistent with these requirements.
The cognitive framework itself is a classical computational system, not a biological model. In this framework, semantic activation occurs only when evidence satisfies multiple layers of consistency, persistence, and contextual validation. The internal mechanisms governing this cognitive gating and decision control are intentionally not described here and are defined exclusively within protected patent filings.
Phocoustic represents a conceptual shift from appearance-based inspection toward physics-anchored interpretation of change. By emphasizing coherent drift patterns, Phocoustic supports early anomaly detection, explainability, and downstream cognitive evaluation across industrial, scientific, and mobility applications.
All technical specifics—including algorithms, rules, and architectures— appear only in Phocoustic Inc.’s patent filings, and are not included in this public white paper.
This appendix is provided to clarify the intent, scope, and legal posture of the accompanying document. The material presented herein is offered solely as a conceptual, high-level architectural overview and is not intended to disclose, teach, enable, or limit any proprietary invention, method, system, or implementation owned by Phocoustic, Inc.
Nothing in this document is intended to constitute an enabling disclosure under 35 U.S.C. §112 or any analogous provision of international patent law. Specific algorithms, data structures, execution flows, parameterizations, thresholds, control logic, optimization strategies, feedback mechanisms, memory models, or decision criteria are intentionally omitted or abstracted. A person having ordinary skill in the art would not be able to implement the described systems or methods based solely on this document.
All technical implementations, claim-defining structures, execution sequences, and functional relationships are defined exclusively within Phocoustic, Inc.’s issued patents, pending patent applications, continuations, continuations-in-part, provisional applications, non-provisional applications, and international filings. In the event of any inconsistency between this document and any patent filing, the patent filing shall control.
Nothing in this document shall be construed as:
a disclaimer of claim scope,
a definition of claim terms,
an admission of prior art,
a limitation on equivalents,
or a characterization of essential or required elements.
Descriptions of components, modules, layers, or functions are illustrative and non-limiting, and are not intended to restrict the scope of any present or future claims.
The architectural descriptions provided are not exhaustive. Certain components, interactions, variants, embodiments, optional features, alternative implementations, and future developments are deliberately excluded. The absence of any feature or function from this document shall not be interpreted as an absence from the invention(s) themselves.
References to future capabilities, conceptual frameworks, cognitive models, governance structures, or developmental mechanisms are forward-looking and non-binding. Such references are provided to convey technical intent and research direction and do not represent completed systems, deployed products, or finalized implementations.
Nothing herein shall be construed as an admission that any described element, concept, or functionality is known, conventional, routine, or standard in the art. All described constructs are asserted to be proprietary to Phocoustic, Inc., except where explicitly stated otherwise.
Phocoustic, Inc. expressly reserves all rights, including but not limited to patent rights, trade secret rights, copyright rights, and rights under international treaties. No license, express or implied, is granted by this document.
This document is intended for informational and explanatory purposes only. It is not a technical specification, implementation guide, or design document. Any interpretation of the invention(s) described herein shall be governed solely by the claims of the applicable patent filings as issued or pending.
Phocoustic’s Physics-Anchored Semantic Drift Engine (PASDE) evaluates change (“drift”) as a measurable, physics-bounded signal rather than as a visual feature or an object to be classified. The system does not attempt to determine what is present in an image. Instead, it evaluates how change evolves over time and whether that evolution is consistent with physically plausible continuity. This approach emphasizes prediction-oriented assessment rather than reactive classification.
PASDE operates within a persistence-anchored framework that draws inspiration from both optical and acoustic signal analysis, enabling measurable, auditable system behavior in domains where precision, safety, and accountability are critical.
A first impression can be striking yet transient. By contrast, reliability emerges only when behavior persists over time, remains consistent under re-observation, and does not contradict prior evidence. PASDE evaluates change according to these principles, emphasizing persistence and lineage rather than instantaneous appearance.
A change is treated as meaningful only if it remains consistent across different viewpoints, illumination conditions, timing intervals, or sensing configurations. Changes that appear only under a single capture condition are treated as provisional and may be discounted.
Passing a single test is insufficient. PASDE evaluates change across multiple admissibility constraints. Artifacts may satisfy one condition but fail others, whereas physically grounded phenomena tend to remain coherent when evaluated across independent constraints.
Within the PASDE framework, change is evaluated using abstractions that emphasize continuity and persistence rather than independent frame-to-frame differences. This design reflects the observation that physically evolving processes tend to exhibit directionality and stability over time.
As change persists within the system’s admissibility framework, it becomes increasingly constrained by its own history. Future evaluations are informed by prior accepted change, and conclusions remain provisional unless supported by sustained, consistent evidence. Revision remains possible, but only when new observations provide sufficient compensating support.
This approach mirrors well-established scientific practice: conclusions remain open to revision, but revision is guided by evidence rather than isolated observations.
Physical change may exist independently of interpretation, but semantic relevance is defined only within a declared operational context. PASDE distinguishes between physically admissible change and semantically active change.
Project- or domain-specific semantic boundaries define when persistent drift is relevant. Change may be physically real yet remain semantically inactive if it falls outside declared scope. This prevents over-generalization and limits interpretation to contexts where meaning is justified.
In many technical domains, prediction benefits from representations that emphasize causality, persistence, and continuity rather than instantaneous appearance. Transverse representations are effective for localization, detection, and classification tasks but can be sensitive to viewpoint, illumination, and sampling effects.
Representations inspired by longitudinal signal behavior emphasize continuity and material response over time. In certain contexts, this emphasis supports earlier identification of emerging instability, as persistent change may alter system behavior before surface-level effects become visually apparent.
PASDE adopts this perspective at a representational level, without asserting equivalence to physical wave propagation. The system evaluates whether change behaves in a manner consistent with sustained physical evolution rather than transient variation.
Within PASDE, drift is treated as directional, accumulated change rather than simple difference. Transient noise and flicker tend to decorrelate over time, while coherent change remains stable across lineage. This distinction allows persistent change to be emphasized while incidental variation diminishes naturally.
Drift is not treated as a direct physical quantity. Instead, it serves as a representational construct used to condition how the system evaluates continuity, stability, and admissibility across time.
As drift persists, it becomes part of an evolving lineage that informs subsequent evaluation. Past observations constrain future interpretations within the system’s framework, reducing sensitivity to isolated reversals while preserving the ability to revise conclusions when warranted by evidence.
This lineage-based approach supports careful diagnosis rather than premature commitment. Conclusions remain provisional and subject to revision, consistent with scientific and engineering best practices.
PASDE does not perform semantic labeling, object classification, or probabilistic inference. It does not attempt to explain why a change occurred. Its role is limited to qualifying whether observed change behaves in a manner consistent with physical continuity before any higher-level interpretation is applied by downstream systems.
The framework is designed to operate alongside existing inspection, diagnostic, or decision-support systems, providing an additional layer of physics-anchored evidence evaluation.
Environmental conditions, sensing geometry, operational context, and historical behavior can influence how meaning develops within a physics-anchored system. Persistent drift and contextual consistency may condition sensitivity and interpretation thresholds over time without altering the underlying structural framework.
This approach allows adaptive yet stable system behavior across varying operational conditions while preserving auditability and traceability.
PASDE emphasizes persistence, physical plausibility, and lineage-aware evaluation of change. By prioritizing how change behaves over time rather than how it appears in isolated moments, the system supports prediction-oriented assessment while avoiding premature interpretation. Meaning remains bounded by context, revision remains possible, and conclusions remain grounded in sustained evidence.