Multi-Sensor In-Line Container Inspection With Real-Time Diversion
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Solution Overview
Problem
Modern inventory systems face inefficiencies in responding to diverse inventory requests, leading to resource misutilization, long response times, and poor performance due to challenges in packing, storing, and completing tasks, particularly in environments like mail order warehouses and supply chain distribution centers.
Innovation Solution
A multi-check in-line container inspection system that integrates sensors with material handling equipment to perform real-time integrity checks on containers, including identifier reads, fill level, weight, and structural integrity, allowing for immediate corrective actions on defective containers without stopping the flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional inspection systems are used to check container integrity, then defects can be detected, but the inspection process requires stopping the material handling equipment, which reduces system throughput and increases response time
Solution Approach 1:
The inspection system performs defect detection before the container reaches the end of the conveyor, allowing corrective actions to be initiated in advance. The system proactively identifies defects and triggers diversion mechanisms before the inspection process completes, maintaining continuous material flow while ensuring defect detection.
Solution Approach 2:
A controller acts as an intermediary between the inspection system and the material handling equipment. The controller receives inspection data, determines defect presence, and autonomously initiates corrective actions such as diverting defective containers, eliminating the need for manual intervention and equipment shutdowns.
2Reliability
If multiple defect checks are performed on containers, then comprehensive defect detection is achieved, but the inspection complexity and processing time increase
Solution Approach 1:
The inspection system is divided into multiple independent sensor modules, each dedicated to detecting specific defect types (e.g., weight sensors for over/under weight, dimensional sensors for size deviations, visual sensors for packaging defects). This modular segmentation allows comprehensive inspection while maintaining manageable system complexity through functional decomposition.
Solution Approach 2:
The controller integrates data from multiple specialized sensors and performs comprehensive defect analysis through a unified decision-making algorithm. The system universally handles various defect types through a single coordinated inspection process, reducing overall complexity despite multiple check points.
3Loss of time
If real-time inspection and corrective actions are implemented, then response time is improved, but the system requires complex coordination between inspection and material handling equipment
Solution Approach 1:
The inspection system and material handling control systems are merged into a single integrated controller. This consolidation eliminates communication delays and coordination complexity by combining multiple control functions into one unified system that simultaneously manages inspection data processing and corrective action execution.
Solution Approach 2:
The system implements real-time feedback loops where inspection results immediately trigger corrective actions through the controller. The feedback mechanism continuously monitors container status, compares it against quality standards, and automatically adjusts material handling operations, achieving rapid response through automated closed-loop control.
Data Source
AI summary
Techniques for a multi-check in-line container inspection system are provided herein. In an example, a computer system determines, during movement of a container in a scanning tunnel, first sensor data generated by a first sensor attached to a frame that forms the scanning tunnel. The movement is caused by material handling equipment. The computer system determines, during the movement of the container in the scanning tunnel, second sensor data generated by a second sensor attached to the frame. The computer system performs a first container integrity check based on the first sensor data and a second container integrity check based on the second sensor data. The computer system causes a corrective action to be initiated based on at least one of the first container integrity check or the second container integrity check indicating a container defect.