Image-Based Inventory Control with RFID and Machine Vision
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Solution Overview
Problem
Current inventory control systems for tools in manufacturing and aerospace environments face challenges in accurately tracking the presence and type of tools returned to storage, as they rely on sensors that can be costly, prone to malfunction, and do not differentiate between correct and incorrect tools, leading to issues with theft and misplacement.
Innovation Solution
An image-based inventory control system utilizing RFID sensors and machine vision to capture and process images of storage locations, correlating image data with sensor attributes to determine the presence and type of tools, and track user access and usage, ensuring accurate accounting and responsibility for tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are disposed in each storage location to detect tool presence, then inventory tracking capability is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces the mechanical sensor-based detection system with an optical imaging system. Instead of using contact sensors, magnetic sensors, or infrared sensors in each storage location, the invention uses a camera to capture images of the storage locations and processes these images to determine tool presence and identity. This substitution dramatically reduces device complexity while maintaining inventory tracking capability.
Solution Approach 2:
The patent creates visual copies (images) of the storage locations and their contents rather than using physical sensors. The imaging system captures optical information about tool presence, which is then processed to determine inventory status. This copying approach eliminates the need for numerous physical sensors while preserving the ability to detect and track tools.
2Measurement precision
If sensors are used to detect tool presence, then inventory status can be determined, but the system cannot differentiate between correct and incorrect tools
Solution Approach 1:
The patent utilizes visual characteristics including color information from images to identify and differentiate tools. By capturing color and visual data from the storage locations, the system can determine not only whether a tool is present but also verify if the correct tool is stored in each location, preventing misplacement and theft.
3Area of stationary object
If multiple sensors are deployed throughout the system, then coverage is improved, but reliability decreases due to more potential failure points
Solution Approach 1:
The patent replaces multiple mechanical sensors distributed throughout the storage system with a centralized or distributed imaging system. This substitution reduces the number of potential failure points while maintaining comprehensive coverage of all storage locations, thereby improving overall system reliability.
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 provides a highly automated, efficient, and accurate method for tracking tool inventory, reducing theft and misplacement by verifying the correct tools are returned and assigning responsibility, while minimizing the need for extensive sensor networks and reducing false alarms.
Implementation Method 1
an image sensing device is configured to capture an image of the storage locations
Implementation Method 2
a radio-frequency identification (RFID) sensor sub-system is configured to sense attributes of objects located in the inventory control system
Data Source
AI summary
Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and an image sensing device configured to capture an image of one of the storage locations. A radio-frequency identification (RFID) sensor sub-system senses attributes of objects located in the inventory control system. A data storage system stores, for each storage location, reference data including identification of the object associated with each storage location. A data processor determines the inventory condition of each storage location of the captured image based on the image data of the captured image in conjunction with the sensing data of attributes of objects located in the inventory control system.