Infrared Thermal Imaging for Accurate Infant Rollover Detection
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Solution Overview
Problem
Conventional methods for detecting infant rollover based on head and nose coordinates are prone to false determinations, leading to delayed recognition of potential dangers, thus compromising infant safety.
Innovation Solution
A rollover detection system utilizing an image acquiring module, image processing module, rollover detection subsystem, and alert module, which processes infrared optical and electrical signals to generate digitalized thermal images for accurate rollover detection and generates alerts when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional coordinate-based detection methods are used to determine infant rollover, then the system structure remains simple, but the detection accuracy deteriorates due to false determinations caused by close proximity of mouth and nose coordinates
Solution Approach 1:
The patent replaces conventional coordinate-based detection with infrared thermal imaging technology. The infrared camera captures thermal images of the infant, and the system detects rollover events by analyzing changes in thermal patterns and body orientation in the images, rather than relying on coordinate measurements of head and nose positions. This substitution of detection methodology fundamentally improves accuracy while managing system complexity through integrated hardware-software solutions.
Solution Approach 2:
The patent changes the detection parameter from spatial coordinates (x, y positions of head and nose) to thermal radiation patterns and temperature distribution characteristics. By monitoring changes in thermal image parameters such as body orientation angles, thermal contrast patterns, and position of thermal features, the system achieves more reliable rollover detection that is not susceptible to the coordinate proximity problem.
2Reliability
If conventional coordinate-based detection is used, then the system is easier to operate, but the reliability deteriorates due to delayed recognition of dangerous situations
Solution Approach 1:
The patent replaces manual coordinate measurement and analysis with automated infrared thermal imaging and image processing. The system automatically captures thermal images, processes them to extract body orientation information, and detects rollover events without requiring manual intervention. This automation maintains ease of operation while dramatically improving reliability through continuous, accurate monitoring.
Solution Approach 2:
The system performs self-monitoring and self-detection of rollover events. The infrared camera continuously captures thermal images, the processing module automatically analyzes the images for rollover conditions, and the system generates alerts without requiring caregiver intervention for each detection event. This self-service capability ensures continuous reliable monitoring while keeping the system simple to operate.
3Measurement precision
If non-contact infrared detection is implemented, then detection accuracy is improved, but the device complexity increases due to additional modules for signal acquisition and processing
Solution Approach 1:
The infrared camera module serves multiple functions: it captures thermal images for rollover detection, provides visual monitoring capability, and can potentially detect other infant states such as fever or distress through thermal pattern analysis. The image processing module performs multiple tasks including rollover detection, image enhancement, and feature extraction. This multi-functionality justifies the added complexity by providing comprehensive monitoring capabilities beyond simple rollover detection.
Solution Approach 2:
The patent introduces an image processing module as an intermediary between the infrared camera and the detection algorithm. This intermediary module handles the complex tasks of image enhancement, feature extraction, and pattern recognition, allowing the detection system to achieve high accuracy without requiring direct complex interaction between the camera and detection logic. The intermediary simplifies the overall system architecture by centralizing complex processing functions.
Data Source
AI summary
A rollover detection system, method and storage medium are provided. The system includes an image acquiring module, an image processing module, a rollover detection subsystem, and an alert module. The image acquiring module is configured to acquire an infrared optical signal of a to-be-monitored object and an analog electrical signal of the infrared optical signal. The image processing module is configured to process the infrared optical signal and the analog electrical signal to obtain a digitalized infrared thermal image. The rollover detection subsystem is configured to perform a rollover detection on a to-be-monitored object according to the infrared thermal image, and determine a rollover detection result. The alert module is configured to generate alert information when the rollover detection result is that a rollover event occurred, push the alert information to an associated application, and synchronize the alert information and a rollover image to the cloud.