Thermal Imaging System User Interface for Event Detection
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Solution Overview
Problem
Existing thermal imaging systems face challenges in accurately detecting and classifying events, particularly in low-resolution environments, due to limited detail and privacy concerns.
Innovation Solution
The implementation of a thermal imaging system that uses a server and a mobile device to configure and improve event detection through user interfaces, floor plans, and image processing parameters, allowing for human verification and authentication to refine detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If low-resolution thermal imaging is used, then privacy is protected and human-background contrast is improved, but event detection accuracy and classification reliability deteriorate
Solution Approach 1:
The system segments the thermal image processing into multiple stages: initial low-resolution thermal imaging for privacy protection, followed by detection of thermal signatures, extraction of key features, and classification using machine learning models. This segmentation allows the system to maintain privacy while improving detection accuracy through progressive analysis.
Solution Approach 2:
The patent introduces an intermediary processing layer that includes floor plan integration and machine learning-based classification. This intermediary layer enhances the information from low-resolution thermal images by correlating thermal signatures with spatial context and learned patterns, thereby improving event detection accuracy without capturing identifiable visual details.
2Object-affected harmful factors
If low-resolution thermal imaging is used, then privacy intrusion is reduced, but the ability to specifically identify individuals and detect detailed events deteriorates
Solution Approach 1:
The system extracts only the essential thermal signature information needed for event detection while deliberately excluding detailed visual features that would enable individual identification. By taking out only the necessary thermal patterns and spatial-temporal characteristics, the system maintains privacy while preserving sufficient information for accurate event classification.
Solution Approach 2:
The patent changes the parameter space from visual identification parameters to thermal signature parameters. Instead of analyzing visual features that reveal identity, the system analyzes thermal parameters such as temperature distribution patterns, thermal signature dynamics, and spatial-temporal behavior, thereby maintaining privacy while enabling event detection.
3Loss of information
If conventional video monitoring is used, then detailed event information is captured, but privacy intrusion increases and human-background contrast decreases
Solution Approach 1:
The patent replaces the mechanical visual capture system with a thermal sensing system. Instead of using visible light cameras that capture detailed visual information, the system uses thermal sensors to detect infrared radiation patterns. This substitution fundamentally changes the information domain from visual to thermal, thereby protecting privacy while maintaining event detection capability.
Solution Approach 2:
The system transitions from the visual spectrum to the thermal infrared spectrum, effectively changing the 'color' domain of detection. By detecting thermal radiation rather than visible light, the system captures event information through temperature variations and thermal patterns, achieving both privacy protection and sufficient event information detail.
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 accuracy of event classification and notification in thermal imaging systems, reduces false alarms, and maintains privacy by utilizing low-resolution imaging, while allowing for user-friendly configuration and refinement.
Implementation Method 1
a thermal imaging device (101) that monitors the environment (107) by way of thermal imaging
Data Source
AI summary
A thermal imaging system including at least one thermal imaging device, a server, and at least one mobile device. The thermal imaging device captures thermal images of an environment. The server applies computer vision techniques to the thermal images, detects events of a predetermined type, and generates notifications of the events of predetermined types detected from the thermal images. The mobile device runs a mobile application that is configured to receive the notifications, present user interfaces, receive user annotations of the notifications in the user interfaces, and transmit the annotations to the server. According to the annotations, the server adjusts parameters used in the application of the computer vision techniques and in the generation of the notifications.