AI Apparatus Vibration Notification Strength Adjustment
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Solution Overview
Problem
Existing artificial intelligence devices lack the ability to adjust notifications based on their orientation and environment, leading to potential device falls and damage due to inappropriate notification settings.
Innovation Solution
An artificial intelligence apparatus equipped with a haptic module for vibration notifications, a microphone to capture noise data, and a gyro sensor to determine equilibrium state information, which uses a floor strength prediction model to adjust vibration notification strength and prevent falls by predicting movement based on the device's placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vibration notification is provided regardless of device placement, then notification function is ensured, but device may fall and cause damage
Solution Approach 1:
The system performs preliminary detection of placement surface characteristics and device orientation before issuing vibration notification. The processor detects equilibrium state information from gyro sensor and noise data from microphone to determine floor strength in advance, then adjusts notification parameters accordingly to prevent device falling before the harmful effect occurs.
Solution Approach 2:
The system uses feedback from gyro sensor (equilibrium state) and microphone (noise data) to continuously monitor device placement conditions. Based on this feedback, the processor dynamically adjusts vibration notification strength to maintain notification effectiveness while preventing device falling on unstable surfaces.
2Reliability
If vibration notification strength is increased to ensure notification effectiveness, then notification function is improved, but device movement and falling risk increase
Solution Approach 1:
The system dynamically adjusts vibration notification strength based on real-time detection of placement surface characteristics and device orientation. Instead of using fixed high strength, the processor modulates notification intensity according to detected floor strength and equilibrium state, maintaining effectiveness while adapting to stability conditions.
Solution Approach 2:
The system changes vibration notification parameters (strength, intensity) based on detected placement conditions. The processor analyzes equilibrium state information and noise data to determine appropriate notification parameters, adjusting them to achieve effective notification without excessive device movement.
3Object-affected harmful factors
If device placement detection is added to adjust notifications, then device falling is prevented, but system complexity increases
Solution Approach 1:
The system makes existing components serve multiple functions: the gyro sensor originally for orientation detection now also detects placement surface characteristics, and the microphone originally for audio input now captures noise data for floor strength determination. This multi-functionality prevents device falling without adding dedicated detection hardware.
Solution Approach 2:
The system uses its own operational characteristics (vibration产生的 noise and equilibrium state changes) as detection signals. The device serves itself by using its vibration notification byproduct as the basis for detecting placement surface characteristics, eliminating the need for separate detection systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively prevents device falls and associated damage by dynamically adjusting notification strength based on the device's orientation and environmental factors, ensuring safe operation even when placed at non-horizontal positions.
Implementation Method 1
a haptic module configured to output a vibration notification
Implementation Method 2
a microphone configured to obtain noise data generated by the vibration notification
Implementation Method 3
a gyro sensor configured to obtain equilibrium state information of the artificial intelligence apparatus
Data Source
AI summary
The present disclosure provides an artificial intelligence apparatus includes a haptic module configured to output a vibration notification, a microphone configured to obtain noise data generated by the vibration notification, a gyro sensor configured to obtain equilibrium state information of the artificial intelligence apparatus, and a processor configured to obtain floor strength information output by a floor strength prediction model by providing the equilibrium state information and the noise data to the floor strength prediction model which outputs the floor strength information of a floor on which the artificial intelligence apparatus is placed, and determine vibration notification strength based on the floor strength information.