Actuated Eyeglass Temple Tips for Adaptive Length Adjustment

The patent applies the dynamics principle by transforming the static temple structure into a dynamic one. The temple incorporates an actuator system that enables the temple length to change dynamically based on user needs. The actuator can extend or retract the temple arm, allowing the length to be adjusted on-demand rather than being fixed during manufacturing. This dynamic capability resolves the contradiction by providing adjustability without requiring complex replaceable parts or heat treatment processes.

The patent replaces traditional mechanical adjustment methods (such as heat treatment or manual bending) with an actuated mechanical system. Instead of using thermal or manual processes to adjust temple length, the invention employs an actuator mechanism that can precisely control the temple extension and retraction. This substitution eliminates the need for complex manual adjustment procedures while providing controlled, repeatable length changes.

The patent directly applies the pneumatics principle by incorporating pneumatic actuators into the temple structure. These actuators use compressed air or vacuum to drive the extension and retraction of the temple arm. The pneumatic system provides smooth, controlled movement with minimal mechanical complexity compared to traditional motorized or spring-based mechanisms. This approach improves ease of operation while keeping the manufacturing process relatively simple, as pneumatic components are well-established and can be integrated into existing frame production workflows.

The patent applies parameter changes by utilizing pressure variations within the pneumatic actuator to control temple length. By changing the air pressure or vacuum level, the actuator transitions between extended and retracted states. This parameter-based control simplifies the manufacturing process compared to precision-mechanical systems, as it relies on readily controllable pressure parameters rather than complex mechanical linkages or electronic controls.

The patent applies the feedback principle by implementing a machine learning model that uses user feedback and historical data to predict optimal temple lengths. The system continuously learns from user interactions, adjusting predictions based on comfort feedback, wear time data, and environmental conditions. This feedback loop enables precise prediction of optimal temple length without requiring complex real-time control systems, as the machine learning model processes information autonomously and provides guidance to the actuator system.

The patent applies the self-service principle by enabling the system to automatically determine optimal temple lengths using machine learning algorithms. The machine learning model autonomously analyzes user data, patterns, and preferences to predict the most comfortable temple length without requiring manual input or complex user intervention. This self-service capability reduces control system complexity by eliminating the need for sophisticated user interfaces or manual adjustment mechanisms, while still achieving high measurement precision through data-driven predictions.