Container Loading Monitoring With Image-Based Proof and Tracking
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Solution Overview
Problem
Current methods for monitoring the loading and unloading of goods in containers lack real-time tracking, reliability, and proof of loading/unloading, leading to human errors, inefficient optimization, and lack of traceability, especially regarding receptacle supports and their identification.
Innovation Solution
A system comprising a photographing apparatus, data recording and processing modules, and communication modules that capture and timestamp images or films, using sensors to identify and distinguish receptacles and receptacle supports, providing real-time monitoring and proof of loading/unloading operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inventory and reporting by handling operators is used, then no additional equipment is required, but real-time monitoring is not achieved and human errors occur
Solution Approach 1:
The system enables automatic self-monitoring of loading and unloading operations through sensors and image capture devices that autonomously detect and record receptacle movements without requiring manual intervention from handling operators
Solution Approach 2:
Manual mechanical inventory methods are replaced with an automated electronic monitoring system comprising sensors, image capture devices, and data processing modules that automatically detect and record loading/unloading operations
2Reliability
If smartphone photography and operator reports are used, then equipment complexity is reduced, but real-time monitoring is still not achieved and errors increase
Solution Approach 1:
The system autonomously captures images and records data without requiring operator intervention to take photographs or fill out reports, eliminating variability in record quality and timing
Solution Approach 2:
The system provides real-time feedback on loading and unloading operations through automatic detection, recording, and transmission of data, enabling immediate verification and correction of any issues
3Reliability
If laser-beam barcode readers are used, then identification speed is improved, but reading zone is limited to less than 1 meter height and reliability is only 30%
Solution Approach 1:
The system uses multi-functional image capture devices that can simultaneously perform barcode reading, visual documentation, and spatial monitoring, replacing the single-function laser barcode reader
Solution Approach 2:
The system transitions from one-dimensional linear barcode scanning to multi-dimensional volumetric monitoring using image capture devices that can detect and record receptacles throughout the entire container space
4Reliability
If portable terminals with barcode readers are used, then identification portability is improved, but loading/unloading proof is not provided and human errors are frequent
Solution Approach 1:
The system captures images and records data at the moment of loading and unloading operations, creating immediate proof before any potential errors or disputes can occur
Solution Approach 2:
The system creates visual copies (images) of the loading and unloading operations as objective evidence, replacing subjective manual reporting with verifiable visual documentation
5Productivity
If volume calculation methods are used, then filling rate optimization is achieved, but distinction between receptacle supports is not possible and prior volume knowledge is required
Solution Approach 1:
Physical measurement methods for volume calculation are replaced with image-based digital processing that can identify and distinguish individual receptacle supports through visual recognition
Solution Approach 2:
The system captures images of receptacle supports during loading operations before the container is filled, enabling identification and tracking without requiring prior knowledge of container volume or configuration
Data Source
AI summary
A system to monitor loading and unloading of a receptacle or of a receptacle support for transporting goods in a container. The system includes a photographing apparatus for taking photographs in front of a zone for monitoring at least a part of the interior of the container, according to an activation parameter from at least one sensor. The photographing apparatus configured to acquire at least one image or one film or any other reproduction of shape described by a cloud of points in at least two colors. The system further includes a database, microcontroller and a network terminal having a data transceiver to exchange data. The sensor of the photographing apparatus is triggered to measure and/or detect descriptive data relating to the transport conditions. The microcontroller associates time information with the descriptive data from the sensor.