Computer Vision Inventory Tracking for Shared Vehicle Amenities
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Solution Overview
Problem
Current shared vehicle services lack the ability to provide customized, on-demand food and productivity services, such as made-to-order meals, beverages, and office equipment, due to logistical and hygienic challenges, limiting user convenience and flexibility.
Innovation Solution
Implementing a system that uses computer vision analysis to monitor inventory within vehicles, allowing passengers to request specific amenities through an electronic device, which dispatches vehicles equipped with the requested products and services based on real-time availability, enabling personalized experiences during travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If shared vehicle services provide customized food and productivity services, then user convenience and flexibility are improved, but logistical complexity and hygiene challenges increase
Solution Approach 1:
The patent replaces manual inventory tracking and verification with computer vision technology. Image sensors capture photos of vehicle interiors, and automated image analysis algorithms identify and track auxiliary products, eliminating the need for manual checking and reducing logistical complexity while maintaining high customization capability
Solution Approach 2:
The system enables self-service through automated image analysis that independently monitors inventory levels and product availability without human intervention. The computer vision system automatically updates inventory status based on captured images, allowing the vehicle service system to autonomously manage customized amenities
2Reliability
If manual inventory checking is performed, then product availability is tracked, but time consumption and operational efficiency decrease
Solution Approach 1:
The patent substitutes manual inventory checking with automated computer vision analysis. Image sensors continuously capture vehicle interior images, and automated algorithms process these images to identify auxiliary products and update inventory records, achieving both high inventory accuracy and time efficiency simultaneously
Solution Approach 2:
The system implements continuous inventory monitoring through periodic image capture and automated analysis. Instead of intermittent manual checks, the computer vision system continuously tracks product availability and inventory levels, ensuring up-to-date information without significant time loss
Data Source
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AI summary
A method performed by an electronic device is described. The method includes obtaining an auxiliary product request or an auxiliary service request in conjunction with a vehicle request. The method also includes obtaining image data from an interior of at least one vehicle. The method further includes performing computer vision analysis on the image data, including processing the image data to classify one or more objects within a scene of the interior of the at least one vehicle. The method additionally includes determining, based on the classification, whether the one or more objects satisfy the auxiliary product request or the auxiliary service request within the interior of the at least one vehicle.