System for imaging and detection
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Solution Overview
Problem
Existing shopping systems are not updated in real-time and lack accurate information on product availability and location within specific stores, leading to inconvenience for users, and existing detection methods are unable to determine biophysical information or detect objects behind other objects.
Innovation Solution
A system that uses a global positioning system to determine the user's location, connects to the store's SKU database for real-time product availability and location information, and employs machine learning and image recognition for efficient routing and accurate detection of products, including drone assistance and kiosk-based checkout processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional shopping systems are used to check item availability online, then users can confirm product information before visiting the store, but the information is not updated in real-time and may be inaccurate
Solution Approach 1:
The system implements real-time feedback by continuously updating product availability information from store inventory systems and immediately notifying users of stock status changes, ensuring information accuracy and preventing users from traveling to stores for out-of-stock items
Solution Approach 2:
The system performs preliminary actions by pre-checking product availability and providing accurate inventory status to users before they visit the store, allowing users to plan their shopping trips efficiently and avoid unnecessary travel
2Productivity
If users manually navigate stores to find products, then they can locate items, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary routing calculations by determining the optimal path through the store based on the user's shopping list and current location, providing turn-by-turn directions that minimize travel time and maximize shopping efficiency
Solution Approach 2:
The routing system dynamically adapts to changing conditions by updating directions in real-time as users move through the store, adjusting for newly discovered out-of-stock items or changes in the shopping list to maintain optimal efficiency
3Measurement precision
If traditional detection methods are used to detect objects, then presence can be determined, but biophysical information and objects behind other objects cannot be detected
Solution Approach 1:
The system uses radio waves as an intermediary to penetrate solid surfaces and detect objects hidden behind other objects, allowing detection of items stored behind shelves or in opaque containers without direct line of sight
Solution Approach 2:
The system changes the detection parameter from visible light to radio waves, which have different penetration properties, enabling detection of biophysical information and hidden objects that are invisible to traditional optical detection methods
Data Source
AI summary
A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection. The system may be a standalone kiosk.