Gemstone Counting via Edge Detection and Neural Networks
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Solution Overview
Problem
Manual processing of large quantities of loose gemstones is time-consuming and labor-intensive, and existing computer vision systems using image-based analysis techniques lack reliability when processing multiple gemstones.
Innovation Solution
A system and method utilizing a computing device with a processor executing a software program to analyze images of gemstones, detect edges, and use a trained neural network to count and process gemstones, enabling automated processing and counting of loose gemstones on a worksurface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing methods are used for large quantities of loose gemstones, then processing can be performed with simple equipment, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical processing with an automated computer vision system that uses image capturing devices, processors, and neural networks to detect, count, and categorize gemstones automatically, eliminating the need for manual inspection while significantly improving processing speed
Solution Approach 2:
The system enables self-service processing where the computer vision system autonomously performs gemstone detection, counting, and categorization without human intervention, with the processor automatically analyzing images and generating processing results
2Reliability
If existing computer vision systems are used to process multiple gemstones, then automation is achieved, but reliability is insufficient
Solution Approach 1:
The patent segments the gemstone processing task into distinct stages: image capture, edge detection, individual gemstone identification using neural networks, and counting/categorization. This segmentation allows each component to be optimized independently, improving overall reliability while managing system complexity
Solution Approach 2:
The patent introduces an intermediary edge detection diagram that bridges the raw image and the neural network analysis. This intermediate representation enhances the clarity of gemstone boundaries and features, improving detection reliability by providing the neural network with pre-processed, high-contrast edge information
3Loss of time
If manual counting and categorization are performed, then equipment simplicity is maintained, but time consumption increases
Solution Approach 1:
The patent replaces manual counting and categorization operations with automated image analysis using computer vision technology. The system captures images of gemstones, processes them through edge detection algorithms, and uses neural networks to automatically count and categorize individual gemstones, reducing processing time from minutes or hours to seconds
Solution Approach 2:
The patent creates a digital copy (image) of the physical gemstones and performs all counting and categorization operations on this digital representation. This copying approach allows rapid automated analysis without physically handling or moving the actual gemstones, significantly reducing processing time
Data Source
AI summary
Systems and methods for processing a plurality of loose gemstones resting on a worksurface are disclosed. The system comprises an image capturing device for capturing an image of the plurality of loose gemstones on the worksurface. The system further comprises a computing device having a non-transitory computer-readable storage medium and a processor. Additionally, the processor is configured by executing a software application to analyze the image to detect edges of objects within the image and generate a diagram representing the detected edges of the gemstones. The processor is further configured to detect, using a trained neural network processing the image and the diagram, individual gemstones within the image and count the individual gemstones detected within the image to determine a gemstone count. The processor is also configured to perform, using an output device, a processing operation on the gemstones as a function of the gemstone count.