Conveyance System Container Posture Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing conveyance systems struggle to accurately detect containers not in a predetermined posture during conveyance, especially when containers are arranged irregularly on a conveyance surface.
Innovation Solution
A conveyance system that includes a conveyance device, an imaging device to capture images of the containers, and a detection device using machine-learned models to identify containers not in a predetermined posture, allowing for real-time rejection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If containers are arranged irregularly on a conveyance surface, then the conveyance system can handle diverse container layouts, but detection of containers not in predetermined posture becomes more difficult
Solution Approach 1:
The patent replaces mechanical or simple optical sensors with an imaging device that captures images of containers on the conveyance surface. The captured images are then processed by a detection device using machine learning models to determine container postures. This substitution enables accurate detection of irregularly arranged containers by analyzing image data rather than relying on fixed mechanical detection mechanisms.
Solution Approach 2:
The patent changes the detection parameter from physical sensor measurements to image-based visual parameters. By capturing images and analyzing pixel data, the system can detect container postures, orientations, and positions regardless of their arrangement pattern. The machine learning model processes image parameters to identify containers not in predetermined posture, enabling detection across diverse layouts.
2Device complexity
If traditional sensors are used to detect fallen containers, then the detection system is simple, but accurate detection of containers in irregular arrangements is not achieved
Solution Approach 1:
The patent replaces traditional mechanical sensors with an imaging device and machine learning-based detection system. The imaging device captures comprehensive visual information of all containers on the conveyance surface, and the machine learning model processes this data to accurately identify containers not in predetermined posture. This approach achieves high measurement precision while maintaining reasonable system complexity through software-based processing.
3Ease of operation
If containers are conveyed in a row, then posture detection is relatively easy, but the system cannot handle containers arranged on a wide conveyance surface
Solution Approach 1:
The patent transitions from one-dimensional linear conveyance detection to two-dimensional surface detection. The imaging device captures images of containers arranged across a wide conveyance surface, and the detection device processes this multi-dimensional data to identify containers not in predetermined posture. This dimensional expansion enables the system to handle diverse arrangement patterns including wide-surface layouts while maintaining detection accuracy.
Data Source
AI summary
A conveyance system including a conveyance device configured to convey, with a plurality of containers having a bottomed cylindrical shape arranged in a conveyance direction and in a width direction orthogonal to the conveyance direction, the containers in the conveyance direction, an imaging device configured to capture images of the containers that are being conveyed by the conveyance device, and a detection device configured to detect, by using the images, a container not having a predetermined posture of a plurality of the containers that are being conveyed.