Placement Detection System Dynamic Threshold Binarization
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Solution Overview
Problem
Existing placement detection systems require users to hold down objects or cover them, increasing operational burden and failing to accurately detect shapes under the influence of outside light.
Innovation Solution
A placement detection system using a CMOS or CCD image sensor and a controller that binarizes images based on a dynamic threshold value table, adjusting threshold values according to the distance from areas affected by outside light to suppress its influence and accurately detect object shapes without the need for covers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cover is used to hold down the object for placement detection, then detection reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces the mechanical cover system with an optical/image processing system. Instead of using a physical cover to press down the object, the system uses an image sensor to capture the object's image and processes it through binarization and shape detection algorithms to achieve accurate detection without mechanical intervention.
Solution Approach 2:
The system enables the object to be detected in its natural state without requiring external assistance. The image processing algorithm automatically adapts to the object's shape and position by analyzing the captured image, performing self-adjustment through threshold determination and binarization processing, eliminating the need for manual covering or holding operations.
2Speed
If a fixed threshold value is used for binarization, then processing speed is improved, but measurement precision deteriorates under outside light
Solution Approach 1:
The patent implements a dynamic threshold value that adapts to different imaging conditions. Instead of using a fixed threshold, the system determines the threshold based on the actual captured image characteristics, allowing the binarization process to maintain high precision under varying lighting conditions while keeping processing efficient through automated threshold calculation.
Solution Approach 2:
The system changes the binarization threshold parameter dynamically based on the captured image. By calculating the threshold from the actual image data rather than using a predetermined fixed value, the system adapts to different lighting conditions and object characteristics, maintaining accurate shape detection across various environments.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate detection of object shapes in placement regions, even under outside light, reducing user burden and improving detection precision without the need for covers or manual holding.
Implementation Method 1
an image sensor 1 that images a placement region 4 to generate an input image
Data Source
Figure 1A~1B
Figure 2
Figure 3~4
AI summary
A placement detection system includes: a placement table; an imaging device that images an object placed on the placement table through the placement table to generate an input image; and a control device that receives the input image. The control device identifies a higher-level pixel having a pixel level higher than or equal to a predetermined pixel level in the input image, sets a threshold value of the higher-level pixel, and sets a threshold value of a target pixel other than the higher-level pixel to a lower value than the threshold value of the higher-level pixel in accordance with a distance between the higher-level pixel and the target pixel. The control device binarizes a pixel level of the target pixel in accordance with the threshold value of the target pixel to produce a binarized image and detects a shape of the object by using the binarized image.