Delivery Handling Apparatus with Automatic Parameter Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional delivery handling systems require manual parameter selection by operators, leading to inefficiency and reduced convenience in recognizing addresses from images of delivery objects.
Innovation Solution
A delivery handling apparatus with a parameter set selecting portion that automatically selects and evaluates parameter sets based on image recognition processing results, ensuring accurate sorting of delivery objects into designated stackers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual parameter selection is used, then the system can handle various address formats, but the operator's work becomes troublesome and convenience is reduced
Solution Approach 1:
The system performs self-service by automatically selecting appropriate parameter sets based on image characteristics without requiring operator intervention. The parameter set selecting portion autonomously evaluates multiple candidate parameter sets and chooses the most suitable one, eliminating the need for operators to manually select parameters while maintaining adaptability to various address formats
Solution Approach 2:
The system changes parameters automatically by storing multiple parameter sets with different configurations and dynamically selecting the appropriate set based on image analysis. This allows the system to adapt to various address formats through parameter variation without requiring manual operator input, thereby maintaining versatility while improving ease of operation
2Measurement precision
If multiple parameter sets are stored and automatically selected, then recognition accuracy improves, but the device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-storing multiple parameter sets that have been optimized for different address formats. This preparation in advance allows the system to quickly select an appropriate parameter set during operation without requiring complex real-time analysis, thereby improving recognition accuracy while managing device complexity through pre-computed solutions
Solution Approach 2:
The system uses feedback mechanisms to evaluate the effectiveness of selected parameter sets and automatically adjust future selections based on recognition results. This feedback loop enables the system to improve recognition accuracy over time while maintaining manageable complexity by learning from past performance rather than requiring exhaustive real-time evaluation of all parameter sets
Data Source
AI summary
According to one embodiment, a delivery handling apparatus includes a recognition portion which performs an image recognition processing to an image imaged by an imaging portion to image a delivery object, to recognize information including an address given to the delivery object and a parameter selecting portion which sequentially selects parameter sets from a plurality of the parameter sets previously stored in a storage portion and a control portion which makes the parameter selecting portion sequentially select parameter sets from a plurality of the parameter sets, and the recognition portion perform an image recognition processing to an image with the parameter sets selected by the parameter selecting portion, and the parameter selecting portion select the parameter set satisfying a prescribed condition, based on a result of the image recognition processing corresponding to the respective parameter sets.