Autonomous Mobile Device Message Delivery via User Detection
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Solution Overview
Problem
Current speech processing systems face challenges in efficiently delivering messages to users through autonomously mobile devices, particularly in determining user presence and identity, especially when the device is not proximate to the user.
Innovation Solution
The system employs a combination of sensors, including cameras, microphones, and machine learning algorithms to detect user presence and identity, allowing the autonomously mobile device to search for the user and deliver messages upon authorization, using voice and facial recognition techniques to confirm user identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the autonomously mobile device uses sensors and machine learning algorithms to detect user presence and identity, then message delivery accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing modalities (cameras, microphones, sensors) and integrates them with machine learning algorithms to create a unified user detection system. This merging of components allows the device to accurately detect user presence and identity through multi-factor authentication while managing system complexity through integrated architecture.
Solution Approach 2:
The patent introduces an intermediary processing layer that handles sensor data and machine learning computations separately from the core message delivery function. This intermediary layer processes authentication data and provides results to the message delivery system, isolating complexity in a dedicated module while maintaining accurate user detection.
2Reliability
If the device searches for the user using multiple sensors and algorithms, then message delivery reliability is improved, but time consumption increases
Solution Approach 1:
The patent performs preliminary actions by continuously monitoring the environment with sensors and pre-processing data even before a message needs to be delivered. The system maintains an updated understanding of user presence and location in advance, so when message delivery is required, the search time is minimized while reliability remains high.
Solution Approach 2:
The patent implements a tiered detection approach where the system performs basic presence detection using simpler, faster sensors first, then applies more comprehensive machine learning algorithms only when needed. This partial action strategy achieves sufficient reliability for most cases while reducing time consumption by avoiding full algorithmic processing in every situation.
Data Source
AI summary
A system and method delivers a message from a first device of a first user to a second device of a second user. Message data corresponding to a message to the second user is received, and a user profile associated with the second user is determined. The second device determines that the second user is not proximate and searches for the second user. Once the second user is found, the message is delivered.