Semiautomated Object Data Acquisition Device with Adaptive Illumination
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Solution Overview
Problem
Current acquisition devices for multiple object data lack efficiency in acquiring comprehensive data sets from objects, particularly in generating diverse perspectives and processing large quantities of data quickly, while also requiring manual intervention and inadequate illumination adjustments.
Innovation Solution
The acquisition device employs a movement device with a drive unit and guide unit for controlled relative movement between object data acquisition units and objects, incorporating a processing unit for automated data processing, and an illumination unit adjustable based on object parameters, enabling semiautomated data acquisition from multiple perspectives and generating uniform digital representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used for data acquisition, then flexibility and adaptability are maintained, but productivity and acquisition speed deteriorate
Solution Approach 1:
The acquisition device performs self-adjustment of illumination parameters and automated data processing without requiring continuous manual intervention. The system autonomously acquires multiple object data, processes it through the processing unit, and generates uniform digital representations automatically, thereby increasing productivity while reducing the need for manual operations.
Solution Approach 2:
The device pre-configures illumination settings and data processing parameters before actual data acquisition begins. The movement device pre-positions the object or acquisition units, and the processing unit prepares processing algorithms in advance, enabling rapid automated acquisition without manual intervention during the actual data collection process.
2Loss of information
If comprehensive data sets from multiple perspectives are acquired, then data completeness is improved, but acquisition time and processing complexity increase
Solution Approach 1:
The movement device enables acquisition of object data from multiple spatial perspectives and dimensions by moving the acquisition units or objects along defined paths. This multi-dimensional approach captures comprehensive data sets including front, back, side, and angled views simultaneously or in rapid sequence, improving data completeness without proportionally increasing acquisition time.
Solution Approach 2:
The acquisition device continuously acquires object data from multiple perspectives without interruption or manual resetting. The movement device maintains continuous motion along predefined paths, and the processing unit continuously processes incoming data streams, ensuring uninterrupted comprehensive data collection that reduces total acquisition time while maintaining data completeness.
3Adaptability or versatility
If fixed illumination settings are used, then device simplicity is maintained, but adaptability to different objects deteriorates
Solution Approach 1:
The illumination unit incorporates feedback mechanisms that automatically adjust illumination parameters based on the acquired object data. The processing unit analyzes object characteristics such as surface reflectivity, color, and texture, then feeds this information back to the illumination unit to optimize lighting conditions. This closed-loop control enables adaptability to different objects while maintaining relatively simple device architecture through automated parameter adjustment.
Solution Approach 2:
The illumination unit can dynamically change its operating parameters such as intensity, color temperature, and direction based on the specific characteristics of the object being scanned. The processing unit automatically modifies these parameters according to object properties like surface material, size, and shape, enabling the device to adapt to diverse objects without requiring complex manual reconfiguration for each scanning task.
Data Source
AI summary
An acquisition device for at least semiautomated acquisition of sets of multiple object data of at least one object, including a movement device for generating a defined relative movement between at least one object data acquisition unit and the at least one object.