Reality Augmentation for Container Fill Level Detection
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Solution Overview
Problem
Existing technologies lack an efficient method to generate personalized offerings based on the fill level of a container, which limits dynamic marketing and user interaction.
Innovation Solution
A method that involves determining the identity and fill level of a container by processing images acquired from a top opening, and overlaying augmented reality offerings based on the estimated geometry of the filling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional promotion methods are used (codes on outside of enclosure or separate wrapping), then implementation is simple, but user engagement and personalization are limited
Solution Approach 1:
The patent replaces traditional mechanical/promotional systems (physical codes on packaging) with an optical/image processing system. The system captures images of the container, processes them to determine fill levels, and generates personalized offerings dynamically, substituting static physical promotions with dynamic digital interactions based on actual product consumption states.
Solution Approach 2:
The system changes the parameter of promotion delivery from static (pre-printed codes) to dynamic (real-time image-based detection). By monitoring changes in fill level parameters through sequential imaging, the system adapts promotional content based on actual consumption patterns, enabling personalized offerings that respond to user behavior.
2Productivity
If no fill level detection is implemented, then the system is simple, but dynamic marketing and personalized offerings cannot be generated
Solution Approach 1:
The system enables the container itself to provide information about its state. By capturing images of the container and automatically processing them to determine fill levels, the system allows the product packaging to self-report its consumption state without manual intervention, enabling automated marketing responses based on actual usage.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the physical container and the digital marketing platform. This intermediary captures visual data, extracts fill level information, and translates it into actionable marketing insights, bridging the gap between physical product state and digital promotional capabilities.
3Ease of operation
If manual code entry is required for promotions, then technology requirements are low, but user convenience and interaction quality are reduced
Solution Approach 1:
The patent replaces manual code entry mechanisms with automated optical recognition. Instead of requiring users to physically locate, read, and input promotion codes, the system automatically captures images of the container, processes them to identify promotion-related information, and delivers personalized offerings without user intervention, significantly improving ease of operation.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the image processing capability to recognize promotion codes and fill levels automatically. When a user points the camera at the container, the system has already prepared the recognition algorithms and can immediately process the image to deliver personalized promotions, eliminating the need for manual code entry steps.
Data Source
AI summary
A method of reality augmentation, including:(a) determining the identity of a container, for example chocolate spread, with a top opening;(b) acquiring an image of the container from a top thereof;(c) estimating a geometry of the filling of said container based on said identity and said image; and(d) overlaying an augmentation, for example, a coupon or a toy, on an image, based on said estimation.