Kinematic Control for Automatic Sliding Panels
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Solution Overview
Problem
Current automatic sliding door systems lack advanced kinematic control methods that allow for precise and contactless operation, limiting their functionality and user interaction.
Innovation Solution
The implementation of a kinematic control system using sensors and a microprocessor to interpret hand motions and gestures, enabling the automatic sliding door or window panel to open, close, lock, and follow user movements without physical contact, utilizing time-of-flight sensors and algorithms for precise control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional motor and activation systems are used for automatic sliding doors, then the door can be automated to open and close, but the control system lacks precision and advanced kinematic control capabilities
Solution Approach 1:
The patent replaces traditional mechanical control systems with an optical sensing system. Time-of-flight sensors detect hand gestures and movements, converting physical gestures into control signals. This substitution enables precise kinematic control without complex mechanical components, resolving the contradiction between control precision and device complexity.
Solution Approach 2:
The patent introduces time-of-flight sensors as intermediaries between the user's hand gestures and the door's movement. These sensors measure the time for light to travel to and from the hand, providing precise distance measurements that enable accurate control of door position and speed, thereby improving control precision without requiring direct mechanical contact.
2Ease of operation
If contactless control is implemented using sensors and microprocessors, then user interaction is enhanced and operation is more intuitive, but the device complexity increases
Solution Approach 1:
The system performs automatic calibration and gesture recognition without user intervention. The microprocessor automatically processes sensor data, identifies gesture patterns, and executes appropriate door movements. This self-service capability simplifies user interaction while the automated processing manages the underlying system complexity.
Solution Approach 2:
The system includes preliminary calibration routines that establish baseline measurements and gesture recognition parameters before actual use. By pre-configuring the control algorithms and sensor thresholds, the system prepares the complex processing capabilities in advance, making the actual user interaction simple and intuitive.
3Adaptability or versatility
If time-of-flight sensors and algorithms are used for gesture recognition, then contactless movement control is achieved, but the system complexity and computational requirements increase
Solution Approach 1:
The system dynamically adjusts gesture recognition parameters based on real-time sensor data and environmental conditions. The microprocessor continuously processes time-of-flight measurements and adapts gesture thresholds, making the system versatile in recognizing different hand movements while managing computational complexity through adaptive rather than static processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides enhanced control and user interaction with automatic sliding doors or windows, allowing for intuitive operation and improved functionality by enabling contactless movement and gesture recognition, enhancing user experience and system efficiency.
Implementation Method 1
The sensor is operable for detecting a target that interrupts the path of the light beam
Implementation Method 2
transmits a light beam across an opening of the sliding door panel
Data Source
AI summary
Embodiments for a kinematic control system for controlling the operation and movement of sliding panel for are disclosed.