Event Object Identification via Networked Resources
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Solution Overview
Problem
Current techniques fail to effectively inform individuals about the availability and location of necessary objects during events, such as emergencies, leading to delays and potential worsening of situations due to the lack of knowledge about suitable objects in the vicinity.
Innovation Solution
A computer-implemented method using networked computer system resources, including IoT and augmented reality devices, to assess and rank objects based on their applicability and accessibility for a specific event, providing users with notifications on the most suitable objects to address the situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a person searches for objects manually during an emergency event, then they can find objects to use, but delays occur due to lack of knowledge about object qualities and locations
Solution Approach 1:
The system performs preliminary actions by pre-assessing objects within a vicinity, determining their types, and evaluating their applicability to various event types before an emergency occurs. This allows the system to have ready-made information about object qualities and locations, so when an emergency happens, the person immediately receives ranked results without needing to search or learn about objects manually.
Solution Approach 2:
The system acts as an intermediary between the person and the objects in the vicinity. Instead of the person directly searching for and evaluating objects, the system mediates by receiving information about objects, assessing their applicability to the event type, scoring them, and presenting ranked results. This intermediary processing eliminates the information gap and time loss associated with manual searching.
2Productivity
If the system assesses and ranks multiple objects based on applicability and accessibility, then the most suitable objects are identified quickly, but the complexity of the system increases
Solution Approach 1:
The system segments the complex task of object identification into distinct modular components: receiving information about objects, determining object types, assessing applicability to event types, scoring objects based on applicability, evaluating accessibility factors, and ranking objects. Each component handles a specific aspect of the problem, making the overall system more manageable and implementable despite the complexity of the overall task.
Data Source
AI summary
A computer is used to identify objects related to an event using networked computer system resources. A request is received to assess objects within a vicinity of an event for uses related to the event. A type of event is determined and objects identified within the vicinity. The identified objects are assessed for applicability relating to the event. The identified objects are scored based on applicability of each of the identified objects to the event. The identified objects are ranked based on the score for each of the identified objects, and based on accessibility factors for each of the identified objects, and the accessibility factors include locations of the identified objects, respectively, within the vicinity. A notification is sent to a user's device with the ranking for viewing by a user on a display of the user's device.