Wearable Apparatus for Automatic Consumption Monitoring via Image Analysis
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Solution Overview
Problem
Current wearable devices for lifelogging lack the capability to provide enhanced interaction with the environment and feedback to users based on image analysis, as they are not optimized for size, design, and functionality for navigation, object identification, and consumption monitoring.
Innovation Solution
A wearable apparatus equipped with an image capture device and processing unit that analyzes images to detect consumable products, estimate their type and amount, and provide feedback to the user, enhancing interaction with the environment and personal monitoring capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable devices are made small and light for easy wearing, then ease of operation is improved, but functionality for navigation, object identification, and consumption monitoring is limited
Solution Approach 1:
The wearable apparatus integrates multiple functions including image capture, image analysis for consumption monitoring, object identification, and navigation assistance within a single device. The processing device is configured to perform various analytical tasks on captured images to provide comprehensive user support across different scenarios.
Solution Approach 2:
The wearable apparatus divides functionality into distinct modules: an image capture device for acquiring images, a processing device for analyzing images and determining consumption information, and a feedback mechanism for providing user notifications. This segmentation allows each component to be optimized independently while working together as an integrated system.
2Measurement precision
If wearable devices capture and process images automatically, then measurement precision of consumption is improved, but device complexity increases
Solution Approach 1:
The wearable apparatus automatically captures images and processes them without requiring user intervention. The processing device autonomously analyzes captured images to detect consumable products, determine their types, estimate quantities, and generate feedback, eliminating the need for manual input from the user.
Solution Approach 2:
The processing device acts as an intermediary between the image capture device and the user, translating raw image data into meaningful consumption information. It bridges the gap by performing automated image analysis, product recognition, and quantity estimation to provide actionable insights to the user.
3Loss of information
If wearable devices provide real-time feedback based on image analysis, then information value to user is improved, but energy consumption increases
Solution Approach 1:
The wearable apparatus continuously captures images and processes them in real-time to provide ongoing consumption monitoring and feedback. The system maintains continuous operation of image capture and analysis functions to ensure uninterrupted information flow to the user about their consumption patterns.
Solution Approach 2:
The processing device generates feedback based on analyzed image data and presents it to the user in real-time. This feedback loop allows the user to immediately see consumption information derived from captured images, enabling timely awareness and potential behavioral adjustments regarding their consumption patterns.
Data Source
AI summary
A wearable apparatus may automatically monitor consumption by a user of the wearable apparatus by analyzing images captured from an environment of the user. The wearable apparatus may include at least one image capture device configured to capture a plurality of images from an environment of the user of the wearable apparatus. The wearable apparatus may also include at least one processing device configured to: analyze the plurality of images to detect a consumable product represented in at least one of the plurality of images; based on the detection of the consumable product represented in at least one of the plurality of images, analyze one or more of the plurality of images to determine a type indicator associated with the detected consumable product; analyze the one or more of the plurality of images to estimate an amount of the consumable product consumed by the user; determine a feedback based on the type indicator the detected consumable product and the estimated amount of the consumable product consumed by the user; and cause the feedback to be outputted to the user.