Multi-View Machine Vision for Robotic Arm Alignment
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Solution Overview
Problem
Robotic handling systems face challenges in accurately locating and aligning with test tubes in low-light conditions, often resulting in misalignment and potential damage during grasping, due to limitations in conventional machine vision systems.
Innovation Solution
A machine vision system with an optical imager positioned relative to a robotic arm, capable of capturing simultaneous side and top views of objects, and using a mirror to provide a broader field of view, allowing for precise alignment and barcode decoding, thereby improving robotic arm calibration and target location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional machine vision system with a single imager is used, then the system structure is simple, but the alignment precision and field of view are insufficient for accurate target location
Solution Approach 1:
The patent transitions from a single-view imaging system to a multi-view imaging system by adding imaging from multiple dimensions (side view and top view). This dimensional expansion enables the robotic arm to locate and align with test tubes more accurately in three-dimensional space, resolving the contradiction between measurement precision and device complexity by justifying the added complexity through significant improvements in alignment capability.
Solution Approach 2:
The imaging function is segmented into multiple specialized imagers: one for side view imaging and another for top view imaging. Each imager is optimized for its specific viewing angle and function. This segmentation allows the system to achieve high alignment precision through dedicated views while managing complexity by assigning specific roles to each imaging component rather than using a single complex imager.
2Measurement precision
If the robotic arm operates in low-light conditions without adequate illumination, then energy consumption is reduced, but target detection and location accuracy deteriorate
Solution Approach 1:
The patent implements localized illumination sources positioned near each imager (side view imager and top view imager) to provide targeted lighting only where needed for image capture. This local quality approach ensures adequate illumination for accurate target detection in specific viewing zones without requiring uniform high-level illumination throughout the entire workspace, thus improving target detection accuracy while controlling energy consumption in a localized manner.
3Productivity
If a single imager captures both side and top views sequentially, then the system structure is simpler, but the location speed and alignment efficiency are reduced
Solution Approach 1:
The patent merges the side view imaging and top view imaging capabilities into a single integrated robotic system with coordinated imagers. Both views are captured simultaneously during the same robotic arm positioning operation, eliminating the need for sequential imaging operations. This merging approach doubles the information gathering efficiency without requiring separate imaging systems, thus improving target location speed while managing system complexity through integration.
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 accurate and efficient alignment of robotic arms with test tubes, reducing misalignment issues and facilitating successful grasping, while also allowing for quick data interpretation from encoded information like barcodes.
Implementation Method 1
an optical imager positioned relative to a standard robotic arm... configured to simultaneously obtain images of the side and top of an object
Data Source
AI summary
A machine vision system for controlling the alignment of an arm in a robotic handling system. The machine vision system includes an optical imager aligned to simultaneously capture an image that contains a view of the side of an object, such as a test tube, along with a view of the top of the object provided by a mirror appropriately positioned on the robotic arm. The machine vision system further includes a microcontroller or similar device for interpreting both portions of the image. For example, the microcontroller may be programmed to determine the location of the object in the reflected portion of the image and transpose that information into the location of the object relative to the robotic arm. The microcontroller may also be programmed to decode information positioned on the object by interpreting visual information contained in the other portion of the captured image.