Automated Object Sorting System Using Image-Based Attribute Extraction
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Solution Overview
Problem
The sorting of small objects such as seeds, pharmaceutical tablets, and small electrical components is cumbersome, time-consuming, and prone to human error due to the manual nature of existing sorting processes.
Innovation Solution
An automated object sorting system that includes an automated object extraction assembly and collection assembly, which uses a transfer funnel to sort objects based on specific attributes like size, shape, color, and genetic traits, and deposits them into selected collection receptacles using a computer-based master control system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sorting is used, then flexibility in handling various small objects is maintained, but sorting time and human error increase significantly
Solution Approach 1:
The patent replaces manual mechanical sorting with an automated system that uses image capture devices, processors, and robotic manipulation. The system captures images of objects, processes them to identify attributes, and automatically sorts objects based on processed data, eliminating manual labor while maintaining sorting capability.
Solution Approach 2:
The system enables objects to be sorted based on their own inherent attributes (color, shape, size) by capturing images, processing them to identify these attributes, and automatically directing objects to appropriate receptacles without human intervention. The objects essentially sort themselves through the automated identification and routing process.
2Measurement precision
If automated extraction and collection assemblies are used, then sorting accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces an image capture device and processor as intermediaries between the objects and the sorting action. These intermediaries capture visual data, process it to identify attributes, and provide sorting decisions to the extraction and collection assemblies, enabling accurate automated sorting without direct complex mechanical interaction with each object.
Solution Approach 2:
The patent replaces complex mechanical measurement and sorting mechanisms with optical-based image capture and digital processing. Instead of using mechanical gauges or physical comparison methods, the system uses images to identify attributes and digitally processes this information to control the sorting process.
3Loss of time
If hand sorting is used, then equipment cost is minimized, but time consumption and labor requirements increase
Solution Approach 1:
The patent replaces manual sorting operations with an automated system comprising image capture devices, processors, and robotic extraction/collection assemblies. This substitution eliminates human labor from the sorting process while maintaining the ability to handle various small objects based on their attributes.
Solution Approach 2:
The system enables continuous sorting operations by automatically capturing images, processing them to identify attributes, and directing objects to appropriate receptacles without interruption. The automated extraction and collection assemblies operate continuously, eliminating the intermittent nature of manual sorting and significantly reducing total sorting time.
Data Source
AI summary
An automated object sorting system is provided. In various embodiments, the automated object sorting system includes an automated object extraction assembly and an automated object collection assembly. The automated object extraction assembly extracts one or more objects from an object sorting tray based on one or more attributes and/or traits of interest. The automated collection assembly selectively deposits the extracted objects in selected collection receptacles according to the particular attributes and/or traits of each respective object.