Placenta Tissue Analysis System Using Multi-Sensor Integration
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Solution Overview
Problem
The lack of effective technical means for placenta examination in medical settings leads to the majority of placentas being discarded without thorough analysis, as there is limited attention paid to placenta examination and a lack of automated examination methods.
Innovation Solution
A multi-dimensional data acquisition and analysis system for placenta tissue, incorporating a mobile platform, binocular vision cameras, hyperspectral camera, laser point cloud detector, ultrasonic ranging, and infrared sensor, which automates the collection and analysis of placental data, enabling three-dimensional modeling, thickness measurement, and weight calculation, thereby enhancing the automation and intelligence of placental examination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated examination system is implemented, then productivity and measurement precision are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection functions (visual inspection, hyperspectral imaging, 3D scanning, weight measurement) into a single integrated automated examination system. The mobile platform integrates multiple sensors and detectors that work together to comprehensively examine placenta samples, improving productivity while managing complexity through functional integration.
Solution Approach 2:
The examination system is designed with multi-functional capabilities to handle various placenta examination requirements. The system can perform visual inspection, spectral analysis, three-dimensional scanning, and weight measurement using a single mobile platform, making the device universally applicable for comprehensive placenta analysis.
2Measurement precision
If multiple detection methods are used simultaneously, then measurement precision and information completeness are improved, but device complexity increases
Solution Approach 1:
The system merges multiple detection methods (binocular vision cameras for 3D imaging, hyperspectral cameras for tissue composition analysis, laser point cloud detectors for surface scanning, ultrasonic sensors for thickness measurement, and weight sensors) into a coordinated mobile platform. These detectors work simultaneously or sequentially to provide comprehensive placenta examination data.
Solution Approach 2:
The mobile platform serves as an intermediary that coordinates multiple detection methods. It integrates various sensors and detectors, managing their operations and data collection, thereby simplifying the complexity of coordinating multiple detection systems while maintaining high measurement precision.
3Loss of time
If automated data collection is implemented, then loss of time is reduced and productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically positioning the mobile platform, activating appropriate detectors, and initiating data collection sequences without manual intervention. The automated system prepares and executes examination protocols, reducing examination time while managing complexity through programmed automation.
Solution Approach 2:
The examination system operates with a degree of self-service capability, where the mobile platform autonomously navigates to the placenta sample, activates detection instruments, collects data, and returns. This self-service operation reduces examination time and minimizes the need for continuous manual operation, though it increases automation complexity.
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
The system improves the efficiency and objectivity of placental diagnosis by providing comprehensive, multi-dimensional data for quantitative analysis, reducing manual workload and facilitating the archiving of placental data, with potential applications in both delivery and operating rooms.
Implementation Method 1
starts the binocular vision cameras to collect data
Implementation Method 2
starts the hyperspectral camera to collect data
Implementation Method 3
starts the laser point cloud detector to scan at a same time
Implementation Method 4
starts the ultrasonic ranging sensor to scan at a same time
Implementation Method 5
when the infrared sensor detects the placenta placed on the mobile platform
Data Source
AI summary
A multi-dimensional data acquisition and analysis system for placenta tissue is provided, including a preparation area, a sampling area, a tension cable, a mobile platform, a tray, a mobile cabin door, a cabin door motor, a motor, a motor controller, binocular vision cameras, a laser point cloud detector, a hyperspectral camera, an ultrasonic ranging, a lifting motor, a lifting guide rail, ring light sources, an infrared sensor, a two-dimensional code area and a two-dimensional code identification camera. The technical scheme of the disclosure is adopted to solve the problem of lack of effective technical means for placenta detection at present.