Dual-Sensor Module Layout for Motionless Human Detection
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Solution Overview
Problem
Passive infrared sensors (PIR) fail to detect motionless objects, necessitating improved methods for object recognition in all states.
Innovation Solution
An image recognition system utilizing a combination of image and thermal sensors, arranged in a checkerboard pattern, captures and analyzes contours of objects into multiple portions to determine their state based on the arrangements of these portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a passive infrared sensor (PIR) is used to detect motion, then motion detection capability is improved, but detection capability for motionless objects deteriorates
Solution Approach 1:
The patent combines a PIR sensor (motion detection) with an image sensor (contour detection) into a single sensor module. The PIR sensor detects motion through infrared radiation changes, while the image sensor captures visual contours. By merging these two sensing mechanisms, the system achieves both motion detection capability and motionless object detection capability, resolving the contradiction between the two detection requirements.
2Device complexity
If a single sensor type is used, then device complexity is reduced, but detection accuracy for all object states deteriorates
Solution Approach 1:
The sensor module is designed with multi-functionality to handle different detection scenarios. It includes a PIR sensor for motion detection, an image sensor for contour capture, and a processing module that selectively processes data based on detection needs. This universal design allows the same sensor module to accurately detect both moving objects and motionless objects, as well as identify various states (sitting, standing, lying) without requiring separate detection systems.
3Measurement precision
If contour analysis with multiple sensor groups is implemented, then object state recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the contour detection task into multiple portions by using different sensor groups (first sensor group and second sensor group) that capture different aspects of the object contour. The processing module separately analyzes portions of the contour from each sensor group and combines the results. This segmentation approach improves recognition accuracy for different object states while managing complexity through modular processing.
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 detection and recognition of object states without requiring movement, enhancing the precision of image recognition through dual-sensor analysis.
Implementation Method 1
a second sensor group including a plurality of second sensors, being used to capture second images; wherein the processing module captures a first contour of the object from the first image, and captures a second contour of the object from the second image
Data Source
AI summary
An image recognition system and a sensor module. The system includes a processing module, a sensor module, and a database. The sensor module includes first sensors and second sensors, the first sensors are image sensors for object recognition and the second sensors are thermal sensors for human detection. When the image sensors and the thermal sensors are arranged in columns, each column of the image sensors is adjacent to at least one column of the thermal sensors, or when the image sensors and the thermal sensors are arranged in rows, each row of the image sensors is adjacent to at least one row of the thermal sensors, or when the image sensors and the thermal sensors are arranged in a checkerboard manner in the matrix, each of the image sensors is adjacent to the thermal sensors.