Tab Imaging Feedback Control for Prism Positioning
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Solution Overview
Problem
Existing battery cell tab detection systems require manual adjustment of prism position, consuming time and effort, and are subjective to operator experience, making it difficult to obtain clear tab images automatically and efficiently.
Innovation Solution
A tab detection system with a control unit that automatically adjusts a movable prism unit to optimize image capture, using evaluation parameters to iteratively adjust the prism's position and orientation until a clear image is achieved, incorporating a driving unit and imaging unit to facilitate automated image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of prism position is used, then clear tab image can be obtained, but time consumption increases and operator experience is required
Solution Approach 1:
The system uses an automated control unit that iteratively adjusts the prism unit position and orientation based on evaluation parameters calculated from captured images, eliminating the need for manual operator intervention. The control unit automatically determines optimal positioning by evaluating image quality metrics and adjusting the prism unit accordingly.
Solution Approach 2:
The system implements a feedback loop where the control unit captures images through the imaging unit, calculates evaluation parameters based on image quality, compares them against thresholds, and uses this feedback to iteratively adjust the prism unit position and orientation until optimal image clarity is achieved.
2Measurement precision
If manual adjustment of prism position is used, then clear tab image can be obtained, but labor effort increases
Solution Approach 1:
The system performs self-adjustment through automated control, where the control unit independently evaluates image quality and positions the prism unit without requiring operator skill or manual intervention, significantly reducing labor effort and operational complexity.
Solution Approach 2:
The patent replaces manual mechanical adjustment with an automated control system that uses electronic signals to position the prism unit, substituting human operation with automated electronic control mechanisms.
3Ease of operation
If automated prism adjustment is implemented, then labor consumption is reduced, but device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it controls the imaging unit for image capture, calculates evaluation parameters for image quality assessment, determines prism unit positioning, and manages the iterative adjustment process. This multi-functionality reduces the need for separate dedicated components.
Solution Approach 2:
The patent combines the control functions for image capture, evaluation, and prism positioning into a single integrated control unit, merging multiple operational aspects into one unified control mechanism to manage system complexity.
4Extent of automation
If iterative adjustment based on evaluation parameters is used, then automatic clear image acquisition is achieved, but processing time increases
Solution Approach 1:
The system uses evaluation parameters as feedback to guide iterative adjustments, automatically capturing images, assessing their quality, and adjusting the prism unit position and orientation until optimal image clarity is achieved, enabling automated processing.
Solution Approach 2:
The patent replaces manual iterative adjustment with automated electronic control, where the control unit uses computational evaluation of image parameters to drive automated positioning adjustments, substituting mechanical manual operation with electronic automation.
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
The system enables quick and automatic acquisition of clear tab images without manual intervention, improving efficiency and reducing labor consumption by optimizing prism positioning based on evaluation parameters.
Implementation Method 1
a prism unit (132), configured to project the tab image to the imaging unit (12) through refraction
Data Source
AI summary
A tab detection system and a tab detection method are provided. The tab detection system includes: a control unit; an imaging unit; and a prism device, where the prism device includes: a prism table; a prism unit; and a driving unit, configured to enable the prism unit to move and/or rotate relative to the prism table, where the control unit iteratively performs the following operations until it is determined that a difference between an evaluation parameter of a tab image and a first threshold is not outside a predetermined range: sending a photographing control signal to the imaging unit; calculating the tab image to obtain the evaluation parameter; and in response to determining that the difference between the evaluation parameter and the first threshold is outside the predetermined range, enabling the prism unit to move and/or rotate at a specified step length relative to the prism table.