Handling Machine Control Using Contour-Based Carrier Positioning
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Solution Overview
Problem
Existing image recognition technologies are ineffective in controlling handling machines for automated logistics due to irregularly arranged cargo and pallets, and defects or damages that complicate accurate identification and alignment for transportation.
Innovation Solution
A method and system that analyze image data to obtain contour and feature data of carriers, generating control data to accurately position handling machines for efficient cargo transportation, enabling the machine to adjust its arms or clamps for precise alignment and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image recognition technology is used to identify cargo, then cargo identification can be achieved, but the handling machine cannot accurately control and insert arms or clamps into the grooves of the pallet at a specific angle
Solution Approach 1:
The image data processing is segmented into multiple analysis stages: first extracting contour data to identify the carrier boundaries, then analyzing the contour data to obtain feature data including position information. This segmentation allows the system to separately optimize for identification accuracy and positioning precision, resolving the contradiction between cargo identification and arm insertion precision.
Solution Approach 2:
The patent introduces an intermediary processing layer between image capture and control execution. The control host acts as an intermediary that transforms raw image data through contour extraction and feature analysis to generate precise control data. This intermediary layer decouples the identification function from the positioning function, allowing each to be optimized independently.
2Extent of automation
If image recognition is performed on cargo with defects or damages, then identification difficulty increases, but automation efficiency decreases
Solution Approach 1:
The patent extracts only the essential contour data and feature data from the complete image information. By taking out only the necessary elements (carrier contours and position features) rather than attempting to analyze all image details including defects and damages, the system maintains high automation efficiency while avoiding the complexity introduced by imperfect cargo appearances.
Solution Approach 2:
The patent changes the analysis parameters from comprehensive image analysis to focused contour and feature analysis. Instead of attempting to recognize and classify cargo based on appearance details (which becomes difficult with defects), the system transforms the problem to extracting geometric parameters (contours and position data) that remain reliable even when cargo appearance is imperfect.
3Adaptability or versatility
If cargo and pallets are arranged irregularly in physical space, then logistics flexibility is improved, but image recognition accuracy deteriorates
Solution Approach 1:
The patent implements a dynamic image analysis approach that adapts to irregular cargo arrangements. The contour extraction and feature analysis processes are designed to work with carriers in various positions and orientations, not requiring fixed or standardized arrangements. The system dynamically adjusts its analysis based on the actual carrier geometry detected in the image, maintaining position detection accuracy regardless of arrangement irregularities.
Data Source
AI summary
A method and a system for controlling a handling machine, and a non-volatile computer readable recording medium are provided. The method includes: analyzing image data to obtain contour data corresponding to a target in the image data; analyzing the contour data to obtain feature data, where the feature data reflects the position of the target in the physical space; and generating control data based on the feature data, where the control data is adapted to control the handling machine to transport the target in response to the position of the target in the physical space.