Item-Based Path Development for Adaptive Facility Navigation
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Solution Overview
Problem
Existing systems fail to efficiently guide users through materials handling facilities, such as warehouses and retail stores, to locate and retrieve items based on their preferences and real-time interactions, leading to inefficiencies and inconveniences.
Innovation Solution
A system that develops and dynamically updates user paths through materials handling facilities based on item locations and user preferences, using image processing and gesture recognition to adapt to user movements and actions, providing visual and audio guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional item location systems are used in materials handling facilities, then users can locate items, but the navigation process is inefficient and time-consuming
Solution Approach 1:
The patent replaces traditional mechanical navigation methods (physical signage, manual direction) with an optical system using wearable devices, image processing cameras, and projected visual indicators. The system captures images of the facility, processes them to identify item locations, and projects directional arrows or highlights on the floor to guide users, substituting mechanical navigation with optical information delivery.
Solution Approach 2:
The system creates a virtual representation or copy of the physical facility layout by capturing images with cameras, processing these images to generate a digital map, and overlaying navigation information (arrows, highlights) on this virtual model. This virtual copy is then projected onto the physical environment to guide users without altering the physical space itself.
2Adaptability or versatility
If static navigation paths are provided to users, then users receive basic direction, but the system cannot adapt to user preferences or real-time changes
Solution Approach 1:
The navigation system transitions from static pre-defined paths to dynamic adaptive paths. The system continuously monitors user behavior through image processing, analyzes interaction patterns, and recalculates navigation routes in real-time based on user preferences, current location, and facility conditions. This dynamic adjustment allows the system to adapt to individual users while managing complexity through automated image processing and path optimization algorithms.
Solution Approach 2:
The system implements a feedback loop where user interactions (pausing, pointing, picking items) are captured by cameras and image processing algorithms. This feedback information is analyzed to understand user preferences and behavior patterns, which then feed back into the path development algorithm to adjust and optimize subsequent navigation recommendations, creating a continuous improvement cycle.
3Measurement precision
If comprehensive image processing and gesture recognition are implemented, then user interactions are accurately detected, but the measurement and detection difficulty increases
Solution Approach 1:
The image processing system divides the complex task of user interaction detection into segmented analysis steps: first detecting basic movement patterns, then identifying specific gestures (pointing, picking, pausing), and finally interpreting user preferences. This segmentation of the detection process into hierarchical levels reduces overall complexity while maintaining high measurement precision for each specific interaction type.
Data Source
AI summary
Described is a system and method for developing and dynamically updating user paths through a materials handling facility. A user path through a materials handling facility may be developed that will route a user past one or more items (e.g., pick list items, recommended items, wish list items, promotional items) planned for the user. If the user does not follow the user path, the user path may be dynamically updated to account for the current location of the user and/or to consider other actions performed by the user.