Proximity Detection Using Luminance Thresholds
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Solution Overview
Problem
Existing proximity detection methods for electronic devices are inaccurate in determining which devices are meant to connect, often relying on position and time synchronization, and have limitations such as long detection ranges and insufficient accuracy in certain environments, leading to unintended connections.
Innovation Solution
A method using luminance measurements to determine proximity by comparing the luminance of an image capture device's sensor to a predetermined threshold, allowing devices to detect each other without server communication, and incorporating accelerometer data to reduce false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If Bluetooth or WiFi-based proximity detection is used, then the detection range is extended, but the accuracy for short-range proximity detection deteriorates
Solution Approach 1:
The patent segments the detection task by using different technologies for different ranges: WiFi/Bluetooth for initial long-range detection and luminance sensing for precise short-range confirmation. This segmentation allows each technology to operate in its optimal range, resolving the contradiction between extended detection range and short-range accuracy.
Solution Approach 2:
The patent introduces luminance sensing as an intermediary mechanism between long-range wireless detection and final device connection. The luminance sensor acts as a mediator that confirms true proximity after initial detection, preventing false positives from long-range technologies while maintaining their extended detection capability.
2Length of stationary object
If GPS and server-based technologies are used, then the detection range is extended, but the accuracy in certain environments deteriorates
Solution Approach 1:
The patent enables devices to perform proximity detection autonomously using onboard luminance sensors without requiring server communication or external infrastructure. This self-service approach eliminates environmental limitations of GPS and server-based systems while maintaining extended detection range through complementary use with wireless technologies.
Solution Approach 2:
The luminance sensor serves as an intermediary that provides reliable proximity confirmation in environments where GPS and server-based technologies fail. It complements these technologies by providing accurate local measurements independent of external infrastructure.
3Ease of operation
If position and time synchronization methods are used, then device connection is enabled, but false positives increase due to inaccurate position and time estimates
Solution Approach 1:
The patent implements feedback by continuously monitoring luminance levels and comparing them against threshold values to confirm true proximity. This feedback mechanism validates initial detection results from position and time synchronization, reducing false positives while maintaining ease of device connection.
Solution Approach 2:
The patent applies preliminary anti-action by using luminance sensing to pre-validate proximity before establishing connections based on position and time synchronization. This preliminary check prevents false positives by confirming true physical proximity before committing to a connection.
4Measurement precision
If infrared-based proximity sensors are used, then short-range detection accuracy is improved, but the detection range is limited
Solution Approach 1:
The patent merges infrared-based proximity sensing with WiFi/Bluetooth detection capabilities into a unified system. The infrared sensor provides accurate short-range confirmation while WiFi/Bluetooth extend the overall detection range, creating a complementary multi-range detection system that resolves the contradiction between accuracy and range.
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
Enables accurate and intended device connections by determining proximity based on luminance thresholds and movement patterns, improving detection accuracy and reducing false positives without the need for server communication.
Implementation Method 1
measuring a luminance; comparing the luminance to a predetermined luminance threshold
Data Source
AI summary
The present disclosure is directed to systems and methods that include measuring a luminance; comparing the luminance to a predetermined luminance threshold; and if the luminance is below the predetermined luminance threshold, determining a proximity to an external device.