Ambient Light Sensor Validation Using External Device Orientation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Embedded sensors in computing devices, such as ambient light and temperature sensors, often provide unreliable readings due to design limitations, orientation, blocking, and interference, leading to incorrect user environment adjustments and operational issues.
Innovation Solution
Implementing a sensor validation system that utilizes information from an external device's ambient light and temperature sensors to correct and augment the embedded sensors' data, considering factors like orientation, distance, and reliability of the external device's readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If embedded sensors are used in computing devices, then device functionality is enhanced, but sensor reading accuracy deteriorates due to design limitations, orientation, blocking, and interference
Solution Approach 1:
The patent introduces an external device as an intermediary to validate and correct sensor readings. The external device's sensors act as mediators that compare their readings with the embedded sensors, identify discrepancies caused by blocking or orientation issues, and provide correction data to improve measurement accuracy without compromising device functionality
Solution Approach 2:
The system implements a feedback mechanism where external device readings are continuously compared with embedded sensor readings. When discrepancies are detected, the system uses the external readings as feedback to correct the embedded sensor data, creating a closed-loop validation system that maintains accuracy despite physical constraints
2Measurement precision
If external device validation is implemented, then sensor reading accuracy is improved, but system complexity increases
Solution Approach 1:
The patent leverages the universal capability of external computing devices (smartphones, tablets, laptops) that already possess ambient light and temperature sensors. By utilizing these existing multi-functional devices for validation purposes, the system achieves improved measurement precision without requiring dedicated validation hardware, thereby limiting the increase in system complexity
Solution Approach 2:
The system employs self-service by using the external device's own sensors to validate another external device's sensors. This self-validation approach eliminates the need for complex centralized validation systems, as each device independently performs its own sensor accuracy verification using available resources
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
Enhances the accuracy of sensor readings by compensating for embedded sensor inaccuracies, ensuring proper display adjustments and thermal control based on reliable external data, thereby improving user experience and device performance.
Implementation Method 1
The ambient light sensor can be implemented with a photodetector for sensing the amount of ambient light present
Implementation Method 2
perform correction of sensor data of the first ambient light sensor system based at least upon the relative orientation and the information describing the sensor data of the second ambient light sensor system
Data Source
AI summary
Implementations for validating sensors using external device(s) are provided. One aspect includes a computing system comprising a first ambient light sensor system; and processing circuitry and memory storing instructions that causes the processing circuitry to: detect the external device in vicinity of the computing device, wherein the external device comprises a second ambient light sensor system; determine an orientation of the first ambient light sensor system; receive information describing an orientation of and sensor data of the second ambient light sensor system; determine a relative orientation based at least upon the orientation of the first ambient light sensor system and the information describing the orientation of the second ambient light sensor system; and perform correction of sensor data of the first ambient light sensor system based at least upon the relative orientation and the information describing the sensor data of the second ambient light sensor system.