Virtual Noticeboard Object Capture Automation
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Solution Overview
Problem
User interactions with electronic devices, particularly during video chat, are inefficient due to the need for manual capture and storage of images of objects, which increases interaction time and battery consumption in battery-operated devices.
Innovation Solution
Electronic devices identify objects in video data and add their images to a virtual noticeboard, reducing user interaction time by automating the process and enhancing device efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual capture and storage of object images is implemented, then image storage capability is improved, but user interaction time increases
Solution Approach 1:
The system automatically captures images of objects in the video feed and stores them without requiring user intervention. The device monitors the video stream, detects when objects are presented to the camera, and autonomously performs the capture and storage operations, making the system serve itself rather than requiring manual user actions.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring the video feed and pre-processing object detection in real-time. When an object is detected, the capture and storage actions are already prepared and executed automatically, eliminating the need for subsequent manual user actions to capture and store the image.
2Reliability
If manual capture and storage of object images is implemented, then image storage capability is improved, but battery power consumption increases
Solution Approach 1:
The system automatically captures images of objects in the video feed and stores them without requiring user intervention. The device monitors the video stream, detects when objects are presented to the camera, and autonomously performs the capture and storage operations, making the system serve itself rather than requiring manual user actions.
Solution Approach 2:
Instead of continuous manual operation, the system uses periodic automated detection based on object presentation to the camera. The capture and storage operations are triggered only when objects are detected in the video feed, creating an event-driven periodic action pattern that reduces unnecessary processing and energy consumption compared to continuous manual operation.
3Loss of time
If automated object identification is implemented, then user interaction time is reduced, but device complexity increases
Solution Approach 1:
The system leverages the existing camera and video processing capabilities already present in the device for video chat purposes. By making the object detection and image capture functionality universal - working with any object that appears in the video feed regardless of type - the system reuses existing hardware and software resources, minimizing the need for additional specialized components and reducing overall device complexity.
Solution Approach 2:
The system uses the existing video feed as an intermediary between the user and the object capture function. Rather than requiring direct user interaction with capture buttons or gestures, the video stream serves as a mediator that automatically provides the source material for object detection and image capture, simplifying the user interface while enabling automated functionality.
Data Source
AI summary
In some embodiments, a device captures video data of a person in front of a display while a user interface that is associated with a noticeboard is displayed on the display, after capturing the video data, in accordance with a determination that one or more object-identification criteria are met, identifies an object in the video data that is associated with the person in front of the display, in response to identifying the object in the video data, stores an image of the object in the video data, and after storing the image of the object, in accordance with a determination that object addition criteria have been met, adds the image of the object to the noticeboard. In some embodiments, the object-identification criteria include a criterion that is met when, in the video data, a predefined spatial relationship exists between the object and the person.