Real-Time Intelligent Inspection Assistant for Inventory Counting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual inventory counting in industrial environments is time-consuming and prone to inaccuracies, necessitating a more efficient and accurate method for real-time inventory management.
Innovation Solution
A mobile device-based system that utilizes a front-facing camera, GPS, IMU sensors, and object detection algorithms to provide real-time object detection and augmented reality visualization, allowing for continuous image analysis and annotation, enabling the reconstruction of a virtual world of the inspection area for accurate inventory counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inventory counting is conducted by human operators physically counting inventory, then the process can be performed with simple equipment, but the counting takes a long time and requires verification to ensure accuracy
Solution Approach 1:
The patent replaces manual mechanical counting with an automated computer vision system that uses cameras, object detection algorithms, and image processing to automatically identify and count inventory items. The system captures images of inventory areas, processes them through neural networks and detection algorithms, and generates automated count results, eliminating the need for manual physical counting and significantly reducing both time and labor requirements
Solution Approach 2:
The patent creates a digital copy or virtual representation of the physical inventory through photography and image processing. By capturing images of the inventory area and processing them through computer vision algorithms, the system generates a digital model that can be analyzed, counted, and verified without requiring physical interaction with the inventory, thereby speeding up the counting process while maintaining accuracy
2Measurement precision
If automated object detection and image processing are implemented, then inventory counting speed and accuracy are improved, but system complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system where a single platform performs multiple tasks: image capture, object detection, classification, counting, and verification. The computer vision system handles various inventory types and scanning scenarios through configurable parameters and algorithms, reducing the need for separate specialized equipment for each function and managing complexity through consolidation
Solution Approach 2:
The patent divides the complex inventory counting task into distinct processing stages: image acquisition, pre-processing, object detection, classification, counting, and verification. Each stage is handled by specialized algorithms and modules that can be independently optimized and tuned. This segmentation allows the system to manage complexity by breaking down the overall process into manageable, modular components
Data Source
AI summary
Example implementations described herein are directed to a solution to the problem of accurate real-time inventory counting and industrial inspection. The solution, involves a device such as a mobile device that assists a human operator on the field to quickly achieve high quality inspection results. The example implementations detect objects of interest in individual image snapshots and use location and orientation sensors to integrate the snapshots to reconstruct a more accurate virtual representation of the inspection area. This representation can then be reorganized in various ways to derive inventory counts and other information that are not planned originally.