Tool Inventory Control Using Machine Vision to Replace Sensor Arrays
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Solution Overview
Problem
Current inventory control systems for tools in manufacturing and service environments face challenges in accurately tracking tool presence, type, and location, especially in aerospace industries, where tools must be precisely accounted for to prevent damage and theft, and existing systems are prone to errors and high costs due to reliance on sensors which can malfunction or require extensive setup.
Innovation Solution
An automated tool control system utilizing machine vision to capture and process images of storage locations, applying visual contrast elements to identify missing or incorrectly placed tools, and integrating with networked systems for secure data transfer and user authentication, allowing for efficient tracking and reporting of tool usage and status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contact sensors, magnetic sensors or infrared sensors are disposed in or next to each tool storage location to detect tool presence, then the toolbox can determine whether any tools are missing, but disposing sensors for numerous storage locations is tedious and costly and the large number of sensors is prone to damages or malfunctions which will produce false negative or positive alarms
Solution Approach 1:
The patent uses image capture devices to create visual copies (images) of tools in storage locations, replacing the need for physical sensors at each location. The image processing system analyzes these visual copies to detect tool presence, type, and placement accuracy, thereby reducing hardware complexity while maintaining detection reliability.
Solution Approach 2:
The patent replaces mechanical and electronic sensor systems with an optical imaging and computer vision system. Instead of using contact sensors, magnetic sensors, or infrared sensors that require physical placement in each storage location, the system uses image capture devices and processing algorithms to detect tool status, eliminating the need for numerous individual sensors.
2Reliability
If sensors are used to detect tool presence in storage locations, then the system can identify missing tools, but the system cannot determine whether the right kind of tool is indeed placed back in the toolbox or it is just some objects placed in the storage location to cheat the system
Solution Approach 1:
The system captures detailed images of tools in storage locations and processes these images to identify tool types based on visual characteristics. This creates a digital record that can be analyzed to determine not just presence but also the specific type of tool, preventing substitution with incorrect objects.
Solution Approach 2:
The patent replaces simple presence-detecting sensors with an image capture and processing system that can visually identify tool types. The computer vision system analyzes image data to distinguish between different tool types, providing precise identification rather than just binary presence/absence detection.
3Reliability
If manual inventory check of the toolbox is performed to minimize or eliminate the problem of misplacement or theft of expensive tools, then tool security can be monitored, but time is spent on manual checking and reporting
Solution Approach 1:
The system enables self-service inventory monitoring by automatically capturing images, processing them to identify tools, and generating reports without human intervention. The image processing system performs the inventory check autonomously, eliminating the need for manual counting and verification by personnel.
Solution Approach 2:
The patent replaces manual inventory checking with an automated image-based system. Image capture devices continuously or periodically record tool positions and types, and computer processing algorithms analyze these images to generate inventory status reports, replacing the manual labor of physical inspection with automated optical and computational systems.
4Productivity
If automated tool control systems capture and process images of storage locations to determine inventory condition, then tool tracking efficiency is improved, but the system does not fully take advantage of the capabilities of advancing electronic capabilities in today's automated tool control systems
Solution Approach 1:
The system implements feedback by comparing captured images against expected tool configurations, automatically identifying discrepancies such as missing tools, misplaced tools, or incorrect tool types. The processed image data feeds back into the inventory management system to update tool status and generate alerts for anomalies.
Solution Approach 2:
The patent advances automation by replacing basic image capture with sophisticated computer vision processing. The system uses electronic image processing capabilities to automatically analyze tool positions, identify tool types, detect anomalies, and generate reports, fully utilizing modern electronic and computational capabilities rather than simple image storage.
Data Source
AI summary
An inventory control system is described that includes a tool storage device including a drawer or a tray providing a pallet, wherein the pallet includes storage locations for objects; a sensing device configured to form an image of the storage locations; and a data processor configured to determine presence or absence of the pallet and presence or absence of objects within the storage locations of the pallet using the information from the image.