Optical Device Controller Using Confidence-Based Sensor Activation
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Solution Overview
Problem
Existing optical devices face challenges in accurately determining user situations while minimizing electrical consumption, often resulting in false alerts or incorrect module configurations due to unreliable sensor data.
Innovation Solution
A system comprising an optical device with a first sensor and a second sensor, along with a controller that determines the user's situation using a model and first data from the first sensor. When the confidence level is below a threshold, the controller activates the second sensor (such as a camera) to update the situation and control the device's module accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to determine user situation, then measurement precision is improved, but electrical consumption increases
Solution Approach 1:
The system dynamically switches between different sensors (camera, IMU, ambient light sensor) based on the detected situation and confidence level. The camera is activated selectively rather than continuously, optimizing the balance between detection accuracy and power consumption.
Solution Approach 2:
The system uses low-power sensors (IMU, ambient light sensor) to autonomously detect situations and only activates the high-power camera when necessary, based on confidence level thresholds. This self-managing approach minimizes energy consumption while maintaining accuracy.
2Use of energy by moving object
If a TOF sensor is used to determine distance, then electrical consumption is reduced, but measurement precision deteriorates
Solution Approach 1:
The system uses the IMU as an intermediary sensor to detect situations that may require distance measurement. When the IMU detects a situation with low confidence, it triggers the camera (which provides accurate distance measurement) rather than relying solely on the TOF sensor.
Solution Approach 2:
The system merges data from multiple sensors (TOF, IMU, ambient light sensor, camera) to achieve accurate situation detection. The combination allows the system to use low-power sensors primarily while supplementing with higher-precision sensors only when needed.
3Use of energy by moving object
If an ambient light sensor is used to detect luminosity, then electrical consumption is minimized, but measurement precision deteriorates
Solution Approach 1:
The system continuously monitors situation confidence levels and uses feedback from multiple sensors to validate readings. When the ambient light sensor detects luminosity changes that lead to low confidence situations, the system can trigger the camera to provide alternative verification.
4Use of energy by moving object
If GPS is used to determine user location, then electrical consumption is reduced, but measurement precision deteriorates
Solution Approach 1:
The system segments the location detection function into multiple components: GPS for general location (low power) and camera-based visual recognition for precise location verification (higher power but selective activation). This segmentation allows the system to maintain low overall power consumption while achieving high accuracy when needed.
Data Source
AI summary
A system and a method for controlling a module of an optical device intended to be used by a user. The system includes the optical device and a controller, and includes a first sensor, a second sensor, and a module. The controller is configured to determine a situation of the user, using a model and first data received from the first sensor and to determine a confidence level associated with the situation. When the confidence level is below a threshold, the controller is also configured to activate the second sensor and to update the situation using second data received from the second sensor. The controller is also configured to control the module according to the situation.