Camera Lens Identification via H-Bridge Impedance Sensing
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Solution Overview
Problem
Existing image devices face challenges in efficiently identifying the type of camera lens, which is necessary for precise control, due to variations in stepper motor specifications across different lens types, leading to increased complexity and production costs.
Innovation Solution
Incorporating an impedance network within the H-bridge circuit or between them, allowing the lens-identification circuit to determine the impedance value corresponding to the camera lens type, thereby simplifying the design and enhancing compatibility without adding extra signal lines or changing the sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lens identification methods are used, then lens type can be identified, but device complexity and production costs increase
Solution Approach 1:
The impedance network uses the existing H-bridge circuit drive coils as both actuator and identification sensor. The lens type automatically determines the impedance value, which is then read by the control component to select appropriate driving parameters, eliminating the need for external identification hardware
Solution Approach 2:
The H-bridge circuit drive coils serve dual functions: driving the stepper motor and providing impedance-based lens identification. The same physical components used for motor control are utilized to sense lens type through their electrical impedance characteristics
2Adaptability or versatility
If lens type identification is implemented, then stepper motor control can be optimized, but production costs increase
Solution Approach 1:
The lens itself provides the identification information through its impedance characteristics, eliminating the need for external identification components that would increase production cost
Solution Approach 2:
The system identifies lens type by measuring impedance parameter variations caused by different lens configurations, then adjusts driving parameters accordingly to optimize stepper motor control for each lens type
3Measurement precision
If impedance network is added for lens identification, then lens type can be determined, but circuit complexity increases
Solution Approach 1:
The impedance network is merged with the existing H-bridge circuit structure, using the same physical space and components. The drive coils' electrical characteristics provide the impedance information without requiring separate identification circuitry
Solution Approach 2:
The control component acts as an intermediary that measures impedance through the H-bridge circuits and translates it into lens type identification, using existing processing capabilities rather than adding dedicated measurement hardware
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 approach allows for efficient identification of camera lens types, reducing production costs and enhancing compatibility by determining the impedance value, enabling precise control of stepper motors without increasing complexity.
Implementation Method 1
the lens-identification circuit includes an impedance network of which an impedance value corresponds to a type of the camera lens
Data Source
AI summary
The present disclosure provides an image device. The image device may include a camera lens, one or more stepper motors to drive the camera lens, one or more H-bridge circuits configured to control at least one of the one or more stepper motors, and a lens-identification circuit connected with the one or more H-bridge circuits, wherein the lens-identification circuit includes an impedance network of which an impedance value corresponds to a type of the camera lens.