Optical Mark Tracking Using Pixel Clusters for AGV Guidance
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Solution Overview
Problem
Conventional guide solutions for automated guided vehicles, such as laser, magnetic, and vision guides, are costly and complex, requiring customized tracking systems, which motivates the need for an optical detecting device with a tracking function to analyze scenes for motion tracking.
Innovation Solution
An optical detecting device with a tracking function, comprising an image acquiring module grouped into clusters of pixels and a processor that computes differences between imaging results to determine the proceeding direction, outputs control commands to steer the vehicle based on image analysis, including identifying arrow icons and adjusting sampling speed according to bending degrees of indicating marks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional guide solutions (laser, magnetic, inductive, vision sensors) are used for automated guided vehicles, then tracking function is achieved, but cost increases and system complexity increases
Solution Approach 1:
The image acquiring module is segmented into multiple pixel clusters (first cluster, second cluster, third cluster, fourth cluster) arranged in a specific pattern. Each cluster captures imaging results from different regions, and the processor computes differences between corresponding clusters to determine motion direction. This segmentation enables reliable tracking through distributed pixel groups while maintaining a relatively simple overall device structure.
2Reliability
If conventional guide solutions are used for automated guided vehicles, then tracking function is achieved, but cost increases
Solution Approach 1:
The optical detecting device uses a standard image detector that can be grouped into multiple pixel clusters for different tracking functions. The same hardware infrastructure serves multiple purposes: the first and second clusters determine horizontal motion direction, while the third and fourth clusters determine vertical motion direction. This multi-functionality reduces cost by eliminating the need for separate specialized sensors for different tracking tasks.
3Measurement precision
If image acquiring module uses multiple pixel clusters to improve detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The pixel clusters are arranged in a two-dimensional pattern (first cluster above third cluster, second cluster above fourth cluster) that allows the system to detect motion in both horizontal and vertical dimensions simultaneously. By computing differences between corresponding clusters in different dimensions, the device achieves high detection accuracy for bidirectional motion tracking while maintaining a regular, simple structural layout that does not significantly increase device complexity.
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 optical detecting device provides accurate and efficient motion tracking for automated guided vehicles, improving detection accuracy and smoothing veering motions by analyzing images from multiple pixel clusters and updating results in each frame, thus reducing the need for costly and complex tracking systems.
Implementation Method 1
an image acquiring module... used to respectively acquire a first imaging result and a second imaging result both containing an indicating mark
Data Source
AI summary
An optical detecting device with a tracking function includes an image acquiring module and a processor. The image acquiring module is grouped into a first cluster and a second cluster of pixels. The first cluster and the second cluster are arranged adjacent to each other, and used to respectively acquire a first imaging result and a second imaging result both containing an indicating mark. The processor is electrically connected to the image acquiring module and adapted to track a proceeding direction of the indicating mark by computing difference between the first imaging result and the second imaging result. The optical detecting device further includes a memory module electrically connected to the processor, and the processor analyzes the computed difference via a lookup table stored inside the memory module to determine the proceeding direction.