Warehouse Container Counting via Image and RFID Fusion
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Solution Overview
Problem
Conventional systems for counting and monitoring containers at a warehouse dock are prone to human errors and inefficiencies, requiring manual labor and resulting in delayed calculations and potential overbilling due to the need for direct line of sight and operator participation in barcode scanning and RFID tracking.
Innovation Solution
An automated system combining image capturing devices and RFID readers, where image recognition techniques are used to count containers, with a processor module selecting between RFID and image-based counts based on predefined parameters, and comparing these counts to a pre-stored count to generate a final accurate tally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual quality checkers are used to count crates, then human judgment can be applied, but human errors and labor costs increase
Solution Approach 1:
The patent replaces manual mechanical counting by quality checkers with an automated system using RFID readers and image capturing devices. The RFID readers automatically detect and read identification data from tags on containers, while image capturing devices photograph the containers. This substitution eliminates human errors and labor costs while significantly improving counting speed and productivity.
Solution Approach 2:
The system enables self-service counting where containers automatically present their RFID tags to readers and are captured by image devices without requiring human intervention. The automated system performs the counting function independently, eliminating the need for manual quality checkers and their associated errors and costs.
2Measurement precision
If barcode scanning is used, then identification can be achieved, but direct line of sight and close proximity are required
Solution Approach 1:
The patent replaces optical barcode scanning with RFID technology that uses electromagnetic fields for communication. RFID readers can read identification data from tags on containers without requiring direct line of sight or close proximity, as electromagnetic signals can penetrate through obstacles and operate at greater distances, simplifying the operational requirements.
Solution Approach 2:
The system changes the identification parameter from optical recognition (barcode) to electromagnetic recognition (RFID). This parameter change allows the system to identify containers without line-of-sight constraints, as RFID signals can pass through materials that block optical signals, thereby reducing operational complexity.
3Extent of automation
If RFID tags are used for tracking, then automated identification is achieved, but system complexity increases
Solution Approach 1:
The patent merges RFID technology with image capturing devices into a single integrated system. The RFID readers and image capturing devices work together to provide both automated identification and visual documentation, reducing overall system complexity by combining multiple functions into one unified platform rather than using separate systems.
Solution Approach 2:
The system is designed with multi-functionality, where the same infrastructure supports both RFID-based automated tracking and image-based counting. This universal approach allows the system to perform multiple functions (identification, counting, documentation) using a single integrated platform, reducing the complexity that would arise from maintaining separate specialized systems.
4Loss of time
If manual counting is performed, then labor flexibility is maintained, but time consumption and delays increase
Solution Approach 1:
The patent replaces manual counting operations with automated RFID reading and image capturing systems that operate continuously without fatigue or delays. The automated system instantly reads RFID tags and captures images as containers pass through, eliminating the time consumption associated with manual counting while dramatically increasing calculation speed and productivity.
Solution Approach 2:
The system implements continuous automated counting operations where RFID readers and image capturing devices operate without interruption as containers move through the facility. This continuous operation eliminates the start-stop nature of manual counting, reducing total time consumption while maintaining high productivity throughout the entire counting process.
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
The system achieves high accuracy and efficiency in container counting, reducing manual effort and errors, with an aggregate accuracy of over 98% and enabling timely tracking and billing for rented containers.
Implementation Method 1
a plurality of radio frequency identification (RFID) readers affixed to the warehouse dock. The plurality of radio frequency identification readers is configured to read identification data of an RFID tag affixed to each of the plurality of containers
Implementation Method 2
one or more image capturing devices affixed to at least one of walls or on top of rolling dock doors for unloading or ceiling of a warehouse dock. The one or more image capturing devices are configured to capture one or more images of the plurality of containers located at the warehouse dock
Data Source
AI summary
A system and method to count and monitor containers at a warehouse dock is disclosed. The system includes a plurality of image capturing devices for capturing one or more images of the plurality of containers for generating a first count, a plurality of RFID readers for reading identification data of an RFID tag affixed to each of the plurality of containers for generating a second count. The system also includes a computing device configured to select the first count or the second count based on a plurality of predefined parameters, cross-check the selected count with a pre-stored count of the plurality of containers at the warehouse dock and provide a final count the containers at the warehouse dock. Manual identification and calculation of container at time of unloading the container at warehouse dock is totally eliminated.