Work Target Image Decision for Mistakable Object Identification
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Solution Overview
Problem
Existing systems struggle to accurately identify work targets in captured images, especially when work targets are similar in shape, location, or other parameters, leading to potential mistakes during work operations.
Innovation Solution
A decision system comprising an identifier and a decider, where the identifier processes captured images to identify work targets, and the decider compares these targets with reference images to determine if they are mistakable based on similarity with other targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If work target identification is performed based solely on captured images, then the identification process is simple and fast, but mistakable work targets that are similar in shape or location cannot be reliably distinguished
Solution Approach 1:
The system performs preliminary action by pre-storing multiple reference images for each work target type, including images captured from different angles and positions. This preparation enables the identification unit to compare captured images against comprehensive reference data, improving reliability in distinguishing similar work targets without adding complex real-time processing requirements
Solution Approach 2:
The system implements feedback by comparing captured images with stored reference images and using the comparison results to determine identification accuracy. When similarity exceeds a threshold, the system identifies the work target; when similarity is insufficient, it recognizes potential misidentification and can request additional imaging or manual confirmation, thereby improving reliability through iterative verification
2Reliability
If multiple reference images are stored for each work target to improve identification accuracy, then mistakable work targets can be distinguished, but the data storage requirement increases
Solution Approach 1:
The system applies local quality by storing multiple reference images specifically for work targets that are likely to be mistakable or have similar appearances. Rather than uniformly storing extensive reference data for all targets, the system focuses storage resources on critical cases where additional reference images provide the most value for distinguishing similar targets
Solution Approach 2:
The system uses partial action by storing a selective subset of reference images - specifically multiple images for each work target type showing different angles and positions. This partial collection is sufficient to enable reliable identification of similar targets without requiring exhaustive complete datasets, balancing storage efficiency with identification reliability
3Reliability
If the system identifies mistakable work targets by comparing with multiple reference images, then misidentification can be reduced, but the processing time increases
Solution Approach 1:
The system performs preliminary action by pre-organizing and storing multiple reference images for each work target type during system setup. This pre-preparation allows the identification unit to quickly retrieve and compare against relevant reference data during operation, reducing real-time processing time while maintaining high identification accuracy through comprehensive reference matching
Solution Approach 2:
The system implements feedback by comparing captured images with stored reference images and using similarity threshold evaluation to determine identification confidence. When similarity exceeds the threshold, identification is confirmed quickly; when it falls below, the system can request additional images or manual verification, optimizing processing time by avoiding unnecessary extensive comparisons while maintaining reliability
Data Source
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AI summary
The problem to be overcome by the present disclosure is to recognize, in advance, a work target that would be difficult to identify. A decision system (1) includes an identifier (33) and a decider (34). The identifier (33) identifies, based on a captured image generated by an image capturing unit (5) attached to a tool (2), a work target shot as a subject of the captured image as one of a plurality of work targets. The decider (34) decides whether a first work target included in the plurality of work targets is a mistakable work target by comparing, by reference to at least one reference image, the first work target with a second work target also included in the work targets. If the second work target is similar to the first work target, the second work target makes the first work target the mistakable work target difficult to identify based on the captured image. The at least one reference image belongs to a plurality of reference images corresponding one to one to the plurality of work targets.