Patent 11971612

Derivative works

Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.

Active provider: Google · gemini-2.5-pro

Derivative works

Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.

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As a Senior Patent Strategist and Research Engineer specializing in Defensive Publishing, I have analyzed US patent 11,971,612. The following document is a Defensive Disclosure intended to create prior art that may render future incremental improvements obvious or non-novel to a person having ordinary skill in the art. This disclosure builds upon the core concepts of a modular eyewear system with a docking station, as claimed in the patent.

Date of Disclosure: 2026-05-13


Defensive Disclosure: Derivative Embodiments and Applications for Modular Electronic Systems

This disclosure details a series of derivative works and alternative embodiments based on the architecture of a host device (e.g., an eyewear frame) with a docking station for connecting modular electronic application units.

1. Material & Component Substitution

1.1. Liquid Metal and Graphene Composite for Interconnect and Frame
  • Enabling Description: This derivative replaces the solid-state pin-and-socket connectors described in US 11971612 with a system of hermetically sealed, self-healing liquid metal contacts. The docking station on the eyewear frame features micro-reservoirs containing a Gallium-Indium-Tin alloy (Galinstan). The corresponding application module has matching pads. Upon docking, a micro-actuator pressurizes the reservoirs, forcing the liquid metal through a permeable membrane to bridge the connection with the module's pads, creating a low-resistance electrical interface. The eyewear frame itself is constructed from a graphene-polymer composite, providing high strength, low weight, and inherent EMI shielding. The graphene layers within the composite are patterned to form conductive traces, eliminating the need for separate wiring harnesses and connecting the liquid metal contacts directly to the central processing unit and power source. This construction also allows the frame to act as a large-surface-area antenna for wireless communication modules.

  • Mermaid Diagram:

    graph TD
        A[Application Module] -- Docks with --> B(Eyewear Frame);
        subgraph Application Module
            C(Contact Pads);
        end
        subgraph Eyewear Frame
            D(Graphene-Polymer Composite);
            E(Micro-Reservoir w/ Galinstan);
            F(Permeable Membrane);
            G(Micro-Actuator);
        end
        G -- Pressurizes --> E;
        E -- Forces Liquid Metal through --> F;
        F -- Bridges Connection --> C;
        C -- Electrical & Data Path --> D;
    
1.2. Piezoelectric Latching and Power-Harvesting Mechanism
  • Enabling Description: The mechanical attachment mechanism (e.g., pins, detents) is replaced with a piezoelectric micro-latch. The docking station incorporates a piezoelectric actuator that, upon receiving a low-voltage pulse from the frame's controller, deforms to securely lock the application module in place. The absence of an electric pulse causes the latch to remain in its locked state, ensuring a secure connection even when the device is powered off. A secondary function of the piezoelectric element is kinetic energy harvesting. Ambient vibrations from the wearer's movements cause mechanical stress on the piezoelectric material, generating a small electrical charge that is captured by a supercapacitor. This harvested energy is used to power the module's auto-detection and handshake protocol upon initial physical connection, prior to the main power bus being activated.

  • Mermaid Diagram:

    sequenceDiagram
        participant User
        participant Eyewear Frame
        participant Application Module
        participant Piezo Latch
    
        User->>Application Module: Docks module onto frame
        Application Module->>Piezo Latch: Exerts physical pressure
        Piezo Latch->>Eyewear Frame: Generate kinetic energy charge (handshake power)
        Eyewear Frame->>Application Module: Perform initial low-power handshake
        Eyewear Frame->>Piezo Latch: Send lock_pulse()
        Piezo Latch-->>Application Module: Mechanically lock module
        Note over Eyewear Frame, Piezo Latch: Latch remains locked without power.
        User->>Eyewear Frame: Moves/Walks
        Piezo Latch->>Eyewear Frame: Harvests kinetic energy (trickle charge)
    

2. Operational Parameter Expansion

2.1. Cryogenic Operation for Scientific Instrumentation Modules
  • Enabling Description: The system is adapted for extreme low-temperature environments (-150°C to -200°C), such as in laboratory or field-based scientific research. The eyewear frame is constructed from a nickel-titanium shape-memory alloy (Nitinol) to prevent embrittlement. The docking connector utilizes gold-plated, spring-loaded pogo pins to maintain reliable contact despite thermal contraction. The application modules, such as a portable spectrometer or a thermal imaging sensor, are housed in a dewar-like vacuum-insulated casing. The docking interface includes a microfluidic port for circulating liquid nitrogen or helium coolant from a belt-worn reservoir to the module's sensor array, enabling low-noise operation. All internal electronics are rated for cryogenic temperatures.

  • Mermaid Diagram:

    graph TD
        subgraph Cryo-Eyewear System
            A(Nitinol Frame) -- Houses --> B(Docking Station);
            B -- Connects to --> C(Cryo-Module);
            D(Belt-worn Coolant Reservoir) -- Microfluidic Line --> B;
        end
        subgraph Cryo-Module
            E(Dewar-Insulated Casing);
            F(Spectrometer Sensor);
        end
        B -- Electrical (Pogo Pins) --> F;
        B -- Coolant Port --> F;
        F -- Data --> B;
    
2.2. High-G/High-Vibration Environment for Avionics
  • Enabling Description: This variation is designed for high-performance avionics and motorsports, withstanding forces up to 20 G and high-frequency vibrations. The docking station employs a quarter-turn cam-lock mechanism, requiring positive user action to both engage and disengage the module, preventing accidental detachment. The electrical interface is a zero-insertion-force (ZIF) connector with a secondary locking bar. To counteract vibration-induced electrical noise, all data lines are implemented as differential pairs (e.g., LVDS), and the module's circuit board is potted in a vibration-damping viscoelastic polymer. The eyewear frame includes an embedded inertial measurement unit (IMU) that provides real-time G-force and vibration data to the application module, allowing for dynamic data filtering and compensation. For example, a heads-up display (HUD) module could use this data to stabilize the projected image against helmet vibration.

  • Mermaid Diagram:

    stateDiagram-v2
        [*] --> Unlocked
        Unlocked --> Locking: User inserts module and turns cam-lock
        Locking --> Locked: Cam-lock engages, ZIF lock bar is closed
        Locked --> Unlocked: User opens ZIF bar, turns cam-lock
        state Locked {
            Frame_IMU -- G-force & Vibration data --> Module
            Module --> Module: Apply real-time image stabilization
            Module -- LVDS Data --> Frame_Processor
        }
    

3. Cross-Domain Application

3.1. Aerospace: Smart Helmet Visor Docking System
  • Enabling Description: The core concept is adapted for an astronaut's helmet or a pilot's flight helmet. The docking station is integrated into the helmet's chassis, adjacent to the visor. Application modules could include a hyperspectral imaging sensor for geological surveying, a LIDAR scanner for proximity operations, or an augmented reality overlay for displaying mission-critical data on the visor. The multi-function connector provides high-bandwidth data, high-voltage power for specialized sensors, and an interface to the helmet's life support monitoring system. The helmet's central computer automatically recognizes the docked module (per Claim 16) and reconfigures the visor display and control interfaces accordingly.

  • Mermaid Diagram:

    flowchart LR
        subgraph Flight Helmet
            A[Helmet Chassis]
            B[Central Computer]
            C[Visor/HUD]
            D[Docking Station]
            A --- D
            D --- B
            B --- C
        end
        subgraph Hot-Swappable Modules
            M1[LIDAR Scanner]
            M2[Hyperspectral Imager]
            M3[AR Overlay Processor]
        end
        M1 <--> D
        M2 <--> D
        M3 <--> D
    
3.2. AgTech: Modular Sensor Mount for Autonomous Farm Robots
  • Enabling Description: The docking system is integrated into an autonomous agricultural robot or drone. Instead of an eyewear frame, the host is a universal mounting point on the robot's chassis. Farmers can quickly swap application modules based on the task: a multispectral camera module for assessing crop health (NDVI analysis), a soil pH and moisture sensor module for ground-based measurements, or a precision pesticide/fertilizer spray nozzle module. The docking connector provides power and a CAN bus or EtherCAT interface for real-time communication with the robot's primary guidance and control unit. The robot's system recognizes the module and automatically loads the correct operational parameters and software drivers.

  • Mermaid Diagram:

    graph TD
        Robot[Ag-Robot Main Controller] -- CAN Bus & Power --> Dock(Universal Docking Station)
        subgraph Field-Swappable Modules
            Mod1[Multispectral Camera]
            Mod2[Soil Sensor Array]
            Mod3[Precision Sprayer]
        end
        Dock -- Mates with --> Mod1
        Dock -- Mates with --> Mod2
        Dock -- Mates with --> Mod3
        Mod1 -- NDVI Data --> Robot
        Mod2 -- pH/Moisture Data --> Robot
        Mod3 -- Actuation Commands --> Robot
    

4. Integration with Emerging Tech

4.1. AI-driven Dynamic Module Configuration and Power Management
  • Enabling Description: The eyewear frame incorporates a low-power neural processing unit (NPU). Upon docking a new module, the system not only recognizes its function but uses an AI model to predict the user's likely intent based on context (time of day, location, calendar events, data from other modules). For example, if a camera module is attached and the user's calendar shows "Product Design Review," the AI pre-configures the camera for high-resolution macro photography. The AI also dynamically manages power distribution across all docked modules. It learns which module functions are used most frequently and allocates power budget accordingly, placing less-used modules in a deep-sleep state to maximize battery life.

  • Mermaid Diagram:

    sequenceDiagram
        participant User
        participant Eyewear_NPU as NPU
        participant Power_Mgmt_IC as PMIC
        participant New_Module
    
        User->>New_Module: Docks module
        New_Module->>NPU: Announce ID and capabilities
        NPU->>NPU: Analyze context (GPS, calendar, time)
        NPU->>New_Module: Configure for predicted task (e.g., set camera to macro)
        NPU->>PMIC: Request power budget for module based on predicted usage
        PMIC->>New_Module: Allocate power
        loop Continuous Operation
            NPU->>NPU: Monitor module usage patterns
            NPU->>PMIC: Adjust power budget in real-time
        end
    
4.2. Blockchain-secured Module Authentication and Data Provenance
  • Enabling Description: To ensure the integrity of high-sensitivity application modules (e.g., for law enforcement, medical diagnostics, or secure communications), the system uses a blockchain-based authentication protocol. Each certified module contains a cryptographic chip with a private key. Upon docking, the eyewear frame initiates a challenge-response handshake. The module signs the challenge with its private key, and the frame verifies the signature against a public key stored on a distributed ledger. This prevents the use of counterfeit or compromised modules. Furthermore, any data generated by the module (e.g., video evidence, patient data) is cryptographically hashed, and the hash is recorded on the blockchain, creating an immutable and auditable record of data provenance, timestamping, and chain of custody.

  • Mermaid Diagram:

    flowchart TD
        A[Module Docked] --> B{Challenge-Response Handshake};
        subgraph Module
            C[Crypto Chip w/ Private Key]
        end
        subgraph Eyewear Frame
            D[Microcontroller]
        end
        D -- Challenge --> C;
        C -- Signed Response --> D;
        B --> E{Frame Verifies Signature};
        E -- Valid --> F[Module Activated];
        E -- Invalid --> G[Module Rejected];
        F --> H[Module Generates Data];
        H --> I[Data is Hashed];
        I --> J[Hash Sent to Blockchain];
        J -- Immutable Record --> K[Auditable Data Provenance];
    

5. The "Inverse" or Failure Mode

5.1. Graceful Degradation Mode for Critical Functions
  • Enabling Description: This derivative defines a low-power, limited-functionality mode that activates when battery levels are critically low or when a non-critical module fails. The eyewear's operating system is designed with a tiered priority scheme. For example, a hearing aid or electro-active focusing lens module is designated "Priority 1," while a camera or music player is "Priority 3." When the battery drops below 10%, the system automatically powers down all Priority 3 and 2 modules, reallocating all remaining power to Priority 1 functions. The docking station's power pins are segmented, allowing the power management IC to physically disconnect specific modules. The user is notified via a haptic buzz or a minimal visual cue. This ensures that life-enhancing or safety-critical functions are preserved for the longest possible duration.

  • Mermaid Diagram:

    stateDiagram-v2
        state "Normal (>10% Battery)" as Normal {
            Hearing_Aid: Active
            Camera: Active
            Music_Player: Active
        }
        state "Low Power (<10% Battery)" as LowPower {
            Hearing_Aid: Active (Sole Function)
            Camera: Powered Down
            Music_Player: Powered Down
        }
        [*] --> Normal
        Normal --> LowPower: Battery Critical Event
        LowPower --> Normal: Battery Recharged
    

6. Combination Prior Art Scenarios with Open-Source Standards

  • Scenario C.1: Integration with WebXR Device API: The eyewear system's central processor acts as a host device implementing the W3C's WebXR Device API. Docked application modules (e.g., a stereoscopic camera, an IMU, a hand-tracking sensor) are exposed to a web browser running on the eyewear as XR input sources. This allows developers to create device-agnostic augmented and virtual reality experiences using standard web technologies (JavaScript, WebGL) that can leverage the specific hardware capabilities of any attached module without requiring proprietary SDKs.

  • Scenario C.2: Integration with the M-PHY and UniPro Standards: The physical connection between the docking station and the application modules is implemented using the MIPI Alliance's M-PHY physical layer and the UniPro transport layer. This provides a standardized, high-speed, low-power, and scalable chip-to-chip interconnect for data transfer. Using this open standard allows third-party module developers to create compliant devices with guaranteed interoperability, fostering a broad ecosystem of modules for audio, video, camera, and storage functions. The system's ability to recognize the module type (Claim 16) is implemented through the UniPro device discovery and configuration process.

  • Scenario C.3: Integration with MQTT Protocol for IoT Messaging: An application module featuring a Wi-Fi or cellular radio functions as an MQTT (Message Queuing Telemetry Transport) client. The eyewear system subscribes to specific MQTT topics from a cloud-based broker. Other docked modules (e.g., an environmental sensor, a heart rate monitor) publish their data to the MQTT module, which then relays it to the broker. This allows the eyewear to serve as a modular, body-worn edge computing node in a larger IoT ecosystem, using a lightweight, open-standard messaging protocol for communication.

Generated 5/13/2026, 6:48:14 AM