Polarization-Sensitive MEMS Infrared Sensor for Direct and Reflected Light Discrimination
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Solution Overview
Problem
Current infrared detection systems face challenges in distinguishing between direct and reflected infrared light, particularly in environments where temperature contrast is low or obscured by other objects, leading to difficulties in object detection and classification.
Innovation Solution
The use of polarization-sensitive microelectromechanical system (MEMS) infrared sensors that can differentiate between direct and reflected infrared light by measuring the polarization ratio of the infrared light emitted by objects, allowing for improved object detection and classification through the determination of direct and reflected light components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional infrared detection is used, then the system can detect infrared light from target objects, but it cannot distinguish between direct and reflected infrared light
Solution Approach 1:
The patent changes the detection parameter from intensity-only measurement to polarization ratio measurement. By measuring the polarization state of infrared light and calculating the polarization ratio, the system can distinguish between direct and reflected light sources, thereby improving measurement precision without losing critical information.
Solution Approach 2:
The patent introduces polarization analysis as an intermediary measurement approach. Instead of directly identifying light sources, the system uses polarization ratio as an intermediate parameter that indirectly reveals the nature of the light source, enabling discrimination between direct and reflected infrared light.
2Measurement precision
If polarization-sensitive MEMS infrared sensors are used, then the system can differentiate between direct and reflected infrared light, but the device complexity increases
Solution Approach 1:
The patent makes the MEMS infrared sensor multi-functional by enabling it to detect both intensity and polarization information. This universal sensor can perform multiple functions: basic infrared detection, polarization measurement, and light source discrimination, thereby improving object detection accuracy without proportionally increasing device complexity.
Solution Approach 2:
The patent combines intensity detection and polarization measurement capabilities into a single integrated MEMS infrared sensor system. By merging these functions, the system achieves improved measurement precision while minimizing the increase in device complexity through shared hardware resources.
3Reliability
If the system relies on temperature contrast for object detection, then it can detect objects in the environment, but it fails when temperature contrast is low or objects are obscured
Solution Approach 1:
The patent transitions from single-dimensional intensity-based detection to two-dimensional detection by incorporating polarization information. This additional dimension provides new discriminative power that remains effective even when temperature contrast is low or objects are obscured, thereby improving detection reliability without significantly increasing measurement difficulty.
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
This approach enhances the ability to detect and classify objects, even when they are obscured, by leveraging temperature contrast and polarization sensitivity, providing robust performance in various weather conditions and enabling applications such as occupancy detection and vehicle classification.
Implementation Method 1
at least one infrared detector that is configured to detect infrared light corresponding to a target object
Implementation Method 2
The infrared light includes at least one of a first polarization or a second polarization
Data Source
AI summary
The present disclosure relates to systems, vehicles, and methods relating to imaging and object detection using polarization-based detection of infrared light. An example system includes at least one infrared detector configured to detect infrared light corresponding to a target object within a field of view. The infrared light includes at least one of a first polarization or a second polarization. The system also includes a controller configured to carry out operations. The operations include receiving, from the at least one infrared detector, information indicative of infrared light corresponding to the target object. The operations also include determining, based on the received information, a polarization ratio corresponding to the target object. The polarization ratio comprises a first polarization intensity divided by a second polarization intensity. The operations also include determining, based on the polarization ratio, that the infrared light corresponding to the target object comprises direct light or reflected light.