Machine Vision Tool Drawer Tracking for Inventory Accuracy
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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, due to limitations in sensor technologies and manual verification methods, which lead to inefficiencies and potential tool misplacement or theft.
Innovation Solution
An automated tool control system utilizing machine vision and image processing to identify and track tools within storage units, with features like visual contrast elements, multi-factor authentication, and network compatibility to enhance tool tracking and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
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 the system cannot verify whether the right kind of tool is placed back and the large number of sensors is costly and prone to damages or malfunctions
Solution Approach 1:
The patent extracts the detection function from individual sensors at each storage location and consolidates it into a single image sensing device that captures images of multiple storage locations simultaneously. This eliminates the need for numerous sensors while maintaining detection capability.
Solution Approach 2:
The patent uses image sensing to create visual copies of the storage locations and tools, replacing physical sensors with optical detection. The image processing system analyzes these visual copies to determine tool presence, type, and location without requiring contact or magnetic sensors at each position.
2Loss of information
If sensors are used to detect tool presence in storage locations, then the system can identify missing tools, but it cannot identify incorrect tools or provide information about tool location for returned tools
Solution Approach 1:
The patent creates visual copies of tools and storage locations through image sensing, allowing the system to analyze tool characteristics, identify tool types, and determine precise storage locations. This visual documentation provides comprehensive information that sensor presence detection alone cannot provide.
Solution Approach 2:
The patent transitions from one-dimensional sensor detection (presence/absence) to two-dimensional image analysis, adding spatial and visual dimensions to tool identification. This enables the system to recognize tool types, orientations, and precise locations within storage locations.
3Reliability
If manual inventory checks are performed to track tool location and prevent theft, then tool security can be monitored, but significant time is spent on inventory management and verification
Solution Approach 1:
The patent implements automated image sensing and processing that performs inventory verification without human intervention. The system automatically captures images, processes them to identify tools and their locations, and updates inventory records, eliminating the need for manual counting and verification while maintaining security monitoring.
Solution Approach 2:
The patent replaces manual mechanical inventory checking with automated electronic image sensing and processing. The mechanical action of physically inspecting each storage location is substituted with optical capture and computational analysis, dramatically reducing time while maintaining or improving accuracy.
4Productivity
If automated tool control systems with imaging capabilities are used to determine inventory conditions, then tool tracking is improved, but the systems do not fully utilize advancing electronic capabilities and require manual review of audit images
Solution Approach 1:
The patent replaces manual review of audit images with automated image processing and analysis. The system automatically captures images, processes them through algorithms to identify tools and their conditions, and generates inventory reports without human intervention, fully utilizing electronic capabilities.
Solution Approach 2:
The patent implements automated feedback loops where image sensing data is continuously processed, analyzed, and used to update inventory status. The system provides real-time feedback on tool presence, location, and condition, enabling proactive inventory management without manual intervention.
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.