Derivative works — US Patent 7765126

Defensive Disclosure for US Patent 7,765,126

Publication Date: April 28, 2026
Subject: Systems and methods for resolving a physical object's machine-readable index to a network-accessible resource. This document describes derivative works, alternative embodiments, and expansions of the concepts disclosed in US 7,765,126 to place them in the public domain.

1. Derivative Implementations based on Material & Component Substitution

The core concept of translating a physical identifier to a network address can be achieved using a wide variety of index-and-reader component pairs beyond optical barcodes.

1.1. Acoustic Fingerprint Indexing

Enabling Description: A user's computing device (e.g., smartphone or specialized industrial tool) utilizes its microphone to capture an ambient or intentionally broadcasted audio signal from a product or environment. The signal is processed to generate a unique acoustic fingerprint (the "index"), using techniques such as Fast Fourier Transform (FFT) to analyze frequency distribution or temporal hashing algorithms. This index is transmitted to a remote server, which maintains a database mapping these audio fingerprints to specific URLs. The server resolves the index and returns the corresponding URL, which could lead to product information, environmental safety data, or multimedia content related to the audio source.

Diagram:

sequenceDiagram
    participant UserDevice as User Device (with Mic)
    participant Product as Product (with Audio Emitter)
    participant ResolverServer as Resolver Server
    participant ContentServer as Content Server

    UserDevice->>+Product: Capture audio signal
    Product-->>-UserDevice: Emits unique sound/watermark
    UserDevice->>UserDevice: Generate Acoustic Fingerprint (Index)
    UserDevice->>+ResolverServer: Transmit Index
    ResolverServer->>ResolverServer: Lookup URL in Fingerprint DB
    ResolverServer-->>-UserDevice: Return URL
    UserDevice->>+ContentServer: Request content from URL
    ContentServer-->>-UserDevice: Return content

1.2. Spectroscopic and Chemical Signature Indexing

Enabling Description: For high-security or regulated goods (e.g., pharmaceuticals, aerospace components, fine art), a portable spectrometer integrated with a user device serves as the reader. The "index" is a unique spectroscopic signature derived from the object's material composition, a chemical taggant, or a specialized coating. The device captures the spectral data (e.g., via Raman spectroscopy or X-ray fluorescence), computes a hash or signature, and sends it to a secure server. The server database links these unique chemical signatures to URLs pointing to encrypted provenance records, certificates of authenticity, or material safety data sheets (MSDS).

Diagram:

graph TD
    A[User Device with Spectrometer] -- 1. Scan Object --> B(Object with Chemical Taggant);
    B -- 2. Emit Spectroscopic Data --> A;
    A -- 3. Generate Signature (Index) --> A;
    A -- 4. Transmit Index --> C[Secure Resolver Server];
    C -- 5. Access Signature-URL Database --> D[Database];
    D -- 6. Find Match --> C;
    C -- 7. Return URL for Certificate --> A;
    A -- 8. Access Certificate --> E[Provenance & Auth Server];

1.3. Haptic or Capacitive Surface Indexing

Enabling Description: An object's surface is embedded with a unique pattern of capacitive traces or a distinct haptic texture. A user device equipped with a multi-touch capacitive sensor or a high-resolution haptic feedback scanner reads this pattern when placed in contact with the surface. The resulting 2D or 3D map of capacitance or surface topology is converted into a unique digital index. This index is sent to a resolver server to retrieve a URL corresponding to the object's interactive controls, configuration manuals, or diagnostic interfaces. This is applicable to smart surfaces, interactive packaging, and accessibility aids for the visually impaired.

Diagram:

stateDiagram-v2
    [*] --> Scanning
    Scanning --> Transmitting: Capacitive pattern acquired
    Transmitting --> Resolving: Index sent to server
    Resolving --> Connecting: URL received
    Connecting --> Done: Content loaded
    note right of Scanning
        Device's sensor array
        maps the unique surface
        pattern into a digital index.
    end note

2. Derivative Implementations based on Operational Parameter Expansion

The core method can be adapted to operate at vastly different physical scales and under extreme environmental conditions.

2.1. Nanoscale Biological Indexing

Enabling Description: In a medical or biological context, nanobots equipped with molecular sensors act as the "user device." The "index" is a specific protein sequence, DNA marker, or cellular surface antigen identified on a target cell or pathogen. Upon positive identification, the nanobot transmits a signal corresponding to this molecular index to an external receiver connected to the network. The receiver forwards the index to a medical server, which resolves it to a URL pointing to a specific drug-release protocol, a diagnostic data packet, or instructions for the nanobot's next action.

Diagram:

sequenceDiagram
    participant Nanobot as Nanobot Sensor
    participant TargetCell as Target Cell
    participant ExternalReceiver as Network Receiver
    participant MedicalServer as Protocol Server

    Nanobot->>+TargetCell: Read DNA Marker (Index)
    TargetCell-->>-Nanobot: Marker confirmed
    Nanobot->>+ExternalReceiver: Transmit Index signal
    ExternalReceiver->>+MedicalServer: Relay Index over network
    MedicalServer->>MedicalServer: Resolve Index to Protocol URL
    MedicalServer-->>-ExternalReceiver: Return Protocol URL
    ExternalReceiver->>Nanobot: Transmit instructions from URL

2.2. Large-Scale Infrastructure Indexing

Enabling Description: A system for civil engineering and infrastructure management where drones or ground-based robotic platforms are the scanning devices. The "index" is a unique identifier derived from the analysis of a structure's physical properties, such as its unique pattern of cracks in concrete (via LiDAR scanning), its acoustic resonance signature (via ultrasonic sensors), or its thermal dissipation map (via infrared thermography). This complex, multi-modal index is transmitted to a central infrastructure management server. The server's database maps these structural signatures to URLs for the structure's digital twin, real-time stress sensor data streams, or historical maintenance records.

Diagram:

graph TD
    subgraph Drone Platform
        A[LiDAR Scanner]
        B[Ultrasonic Sensor]
        C[Thermal Camera]
    end
    Drone Platform -- 1. Scan Structure --> D(Bridge Segment)
    D -- 2. Return Physical Data --> Drone Platform
    Drone Platform -- 3. Compute Structural Index --> E{Index Processor}
    E -- 4. Transmit Index --> F[Infrastructure Server]
    F -- 5. Lookup URL --> G[Digital Twin Database]
    F -- 6. Return Digital Twin URL --> E
    E -- 7. Access URL --> H[Live Sensor Feed & Maintenance Logs]

3. Derivative Implementations based on Cross-Domain Application

The claimed method can be directly applied to industries far removed from its initial context of consumer products.

3.1. Aerospace: In-Situ Component Verification

Enabling Description: During pre-flight checks or maintenance, an avionics technician uses an Augmented Reality (AR) visor. The visor's camera identifies a component's unique, laser-etched serial number or a 2D matrix code. The visor's software sends this index to a secure, distributed ledger maintained by the aircraft manufacturer and regulatory bodies. The ledger resolves the index to a URL pointing to an immutable record containing the component's manufacturing date, flight hours, stress test results, and authorized software version. The AR visor overlays this information directly onto the technician's view of the physical component.

Diagram:

sequenceDiagram
    participant Technician as AR Visor
    participant EngineComponent as Aircraft Part
    participant Resolver as Secure Resolver
    participant Ledger as Distributed Ledger

    Technician->>+EngineComponent: Visually scan etched code (Index)
    EngineComponent-->>-Technician: Code acquired
    Technician->>+Resolver: Transmit Index
    Resolver->>+Ledger: Query for component record URL
    Ledger-->>-Resolver: Return immutable record URL
    Resolver-->>-Technician: Return URL
    Technician->>Technician: Fetch and display data from URL in AR overlay

3.2. AgTech: Precision Farming Protocol Retrieval

Enabling Description: An autonomous agricultural rover captures high-resolution imagery and soil sensor data from a specific plot of land. An onboard processor analyzes this data to create a "geospatial health index" for that plot, identifying specific nutrient deficiencies or pest infestations. This index is transmitted to a central AgTech cloud platform. The platform's database maps the index to a URL that points to a precise, machine-readable "prescription file" (e.g., specifying a variable-rate application of fertilizer or a targeted micro-dose of pesticide). The rover then downloads and executes the instructions from this URL.

Diagram:

flowchart LR
    A[Rover: Scan Soil & Image] --> B{Generate Geospatial Health Index};
    B --> C[Transmit Index to AgTech Cloud];
    C --> D[Cloud DB: Resolve Index to Prescription URL];
    D --> E[Return URL to Rover];
    E --> F[Rover: Download & Execute Prescription File];

3.3. Consumer Electronics: Dynamic Device Provisioning

Enabling Description: A consumer purchases a new IoT device (e.g., smart lightbulb, security camera). During the setup process, the user's smartphone scans a QR code on the device. The QR code contains a unique, one-time provisioning token (the "index"). The smartphone app transmits this token to the manufacturer's provisioning server. The server validates the token, associates the device's hardware ID with the user's account, and returns a unique URL. This URL points to a temporary, signed firmware package and a set of network credentials specific to that user's smart home ecosystem. This automates and secures the onboarding process.

Diagram:

erDiagram
    USER_DEVICE ||--o{ IOT_DEVICE : scans
    USER_DEVICE {
        string App
        string ProvisioningToken
    }
    IOT_DEVICE {
        string HardwareID
        string QRCode
    }
    USER_DEVICE ||--|{ PROVISIONING_SERVER : transmits
    PROVISIONING_SERVER {
        string TokenValidation
        string URL_Generation
    }
    PROVISIONING_SERVER }o--|| FIRMWARE_SERVER : points_to
    FIRMWARE_SERVER {
        string SignedFirmware
        string NetworkCredentials
    }

4. Derivative Implementations based on Integration with Emerging Technology

The core process is enhanced by integrating it with modern computational and networking paradigms.

4.1. AI-Driven Predictive Resource Caching

Enabling Description: When a user scans an index, the resolver server does not just return a single URL. It uses a predictive AI model, trained on user behavior, to return a manifest of related URLs and resources. For example, scanning a bag of coffee beans (index) returns the URL for the product page, but the AI also pushes URLs for brewing instructions, customer reviews, and a coupon for a related product. The user's device, running an AI agent, intelligently pre-fetches and caches these resources in the background, anticipating the user's next clicks and providing a near-instantaneous experience.

Diagram:

sequenceDiagram
    participant UserDevice as User Device (with AI Agent)
    participant AI_Resolver as AI Resolver Server
    participant ContentServers as Multiple Content Servers

    UserDevice->>+AI_Resolver: Transmit Index (e.g., coffee UPC)
    AI_Resolver->>AI_Resolver: 1. Lookup Primary URL <br/> 2. Predict related content
    AI_Resolver-->>-UserDevice: Return Manifest [URL_main, URL_reviews, URL_coupon]
    UserDevice->>UserDevice: AI Agent parses manifest
    par
        UserDevice->>+ContentServers: Request main content from URL_main
    and
        UserDevice->>+ContentServers: Pre-fetch/cache content from URL_reviews & URL_coupon
    end

4.2. IoT Real-Time Digital Twin Linkage

Enabling Description: Every physical product with an IoT component (e.g., a smart appliance, an industrial motor) is marked with a persistent identifier (e.g., QR code). Scanning this index sends a request to a digital twin resolver server. The server returns a URL that loads a web-based dashboard. This dashboard is populated with real-time data by using the same initial index to subscribe to a WebSocket or MQTT stream originating directly from the physical object's sensors. This creates a direct, real-time link between the physical object and its interactive digital representation simply by scanning the object itself.

Diagram:

flowchart TD
    A[User scans QR code on Smart Appliance] --> B{Index sent to Digital Twin Server};
    B --> C[Server returns URL for Web Dashboard];
    A --> D[User Device loads Dashboard from URL];
    B -- Also provides MQTT Topic based on Index --> D;
    E[IoT Appliance] -- Publishes real-time data to MQTT Topic --> D;
    D -- Displays live data --> F[User View];

4.3. Blockchain-Enabled Provenance and Action URLS

Enabling Description: An item in a supply chain (e.g., a batch of organic produce) is tagged with a QR code containing a unique identifier registered on a blockchain. When a user scans this index, the device queries a resolver smart contract on the blockchain. The smart contract does two things: 1) it returns the URL of the product's public provenance explorer, showing its journey from farm to shelf, and 2) it returns a unique, single-use URL that allows the current owner to execute a transaction on the blockchain, such as "Mark as Received" or "Transfer Ownership," by signing a message with their cryptographic key. This links the physical scan to both verifiable data and a state-changing network action.

Diagram:

sequenceDiagram
    participant User as User Wallet/Device
    participant Product as Physical Product
    participant ResolverContract as Blockchain Smart Contract
    participant ProvenanceExplorer as Web App

    User->>+Product: Scan QR Code (Index)
    User->>+ResolverContract: Query with Index
    ResolverContract-->>-User: Return {provenance_URL, action_URL}
    User->>+ProvenanceExplorer: Access provenance_URL
    ProvenanceExplorer-->>-User: Display supply chain history
    User->>User: User clicks action_URL to initiate ownership transfer

5. Derivative Implementations based on Inverse/Failure Modes

The system can be designed for resilience, graceful degradation, and offline functionality.

5.1. Embedded Fallback and Peer-to-Peer Resolution

Enabling Description: A 2D barcode (e.g., QR code) is encoded with two data elements: the primary index for online resolution, and a secondary, compressed data payload containing essential information (e.g., product name, safety warnings). The user device software is designed to first attempt online resolution. If no network is detected, it falls back to decoding and displaying the local data. Furthermore, the index can be a content-addressable hash (e.g., an IPFS CID). If the primary HTTP server is down, the device can attempt to resolve the same index over a peer-to-peer network like IPFS or BitTorrent, retrieving the content from other users who have cached it.

Diagram:

flowchart TD
    A[Scan QR Code] --> B{Network Available?};
    B -- Yes --> C[Transmit Index to HTTP Server];
    C --> D{Server Responds?};
    D -- Yes --> E[Load Content from URL];
    B -- No --> F[Decode Local Fallback Data from QR Code];
    F --> G[Display Local Content];
    D -- No --> H[Attempt to Resolve Index on P2P Network (IPFS)];
    H --> E;

6. Combination Prior Art with Open-Source Standards

6.1. Combination with W3C Decentralized Identifiers (DID)

Enabling Description: The system is implemented using the W3C DID standard. The barcode on an object contains a DID (e.g., did:example:123456789). A user device scans the barcode and uses a universal DID resolver library to resolve the DID. The resolver queries the underlying verifiable data registry (e.g., a blockchain or a trusted database) associated with the did:example method. It retrieves the corresponding DID Document, a standardized JSON file. This document contains a service endpoint section, which lists one or more service URLs for interacting with the object (e.g., a URL for its homepage, another for its API, and a third for its warranty registration). The user's device can then present these options or connect to the primary service. This approach removes the need for a centralized, proprietary resolver server.

6.2. Combination with OAuth 2.0/OpenID Connect

Enabling Description: The system is used to initiate secure interactions. A user scans a QR code on a trusted device (e.g., a personal computer screen, a point-of-sale terminal) to log into a service. The QR code contains a unique, short-lived index. The user's mobile device transmits this index to an identity provider's server. This server, instead of returning a simple URL, uses the index to identify a specific authentication session and returns a URL that initiates an OAuth 2.0 or OpenID Connect authentication flow. By visiting this URL, the user can securely approve the login or transaction on their trusted mobile device, which already has an authenticated session with the identity provider.

6.3. Combination with the MQTT Protocol

Enabling Description: The system is integrated into an industrial or home IoT environment using the open MQTT standard. A technician or user scans a barcode on a sensor or actuator. The index (e.g., the device's serial number) is sent to a local network server. The server's database maps this index not to an HTTP URL, but to a set of MQTT topics, such as devices/A7-3B-C1/telemetry for receiving data and devices/A7-3B-C1/command for sending instructions. The scanning device then automatically subscribes to the telemetry topic to display live data and presents controls to publish messages to the command topic, effectively using the barcode scan to link directly into the device's real-time messaging channels.