Sealed Pool Wall Cameras for AI Drowning Detection
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Solution Overview
Problem
Existing pool surveillance systems lack efficient and economical designs that incorporate cameras with seals to prevent water ingress, and do not utilize multiple cameras for object detection, movement analysis, and data transmission to control panels.
Innovation Solution
A pool surveillance system with integrated cameras housed in sealed enclosures within the pool walls, equipped with infrared capabilities and AI image recognition, connected to a control panel for data transmission and live video streaming, using machine learning and pattern recognition to identify objects and events like drowning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cameras are installed in the pool to detect objects and transmit data, then surveillance capability is improved, but water ingress and device durability are worsened
Solution Approach 1:
The camera is nested within a waterproof housing that is recessed into the pool wall. The housing contains the camera and electrical components, protecting them from water while allowing the camera to perform surveillance functions. The sealed enclosure acts as a protective container that isolates sensitive electronics from the aquatic environment.
Solution Approach 2:
A waterproof housing serves as an intermediary between the camera and the pool water. This intermediate structure allows the camera to function in the surveillance application while preventing direct contact with water that would cause damage. The housing includes seals and gaskets that mediate the interface between the electronic components and the aquatic environment.
2Measurement precision
If multiple cameras with advanced features are installed for comprehensive surveillance, then detection accuracy is improved, but system cost and complexity are worsened
Solution Approach 1:
The surveillance system is designed to perform multiple functions using a single integrated approach. The camera system can detect objects, distinguish between floating and submerged objects, provide live video streaming, and transmit data to external devices. This multi-functional design achieves comprehensive surveillance without requiring separate specialized devices for each function, thereby controlling system complexity.
Solution Approach 2:
The system includes automated object detection and classification capabilities that operate without constant human intervention. The camera system automatically distinguishes between different types of objects (floating vs. submerged) and can autonomously determine when to trigger alerts. This self-service functionality reduces the need for complex manual monitoring systems while maintaining high detection accuracy.
3Reliability
If cameras are recessed in the pool wall with sealed housings, then water protection is improved, but installation complexity and manufacturing cost are worsened
Solution Approach 1:
The surveillance device is segmented into distinct functional components: the camera module, the waterproof housing, the sealing elements, and the mounting structure. This segmentation allows each component to be manufactured and tested independently, then assembled into the final recessed wall installation. The modular approach simplifies the overall manufacturing process and facilitates easier installation by allowing pre-assembly of the sealed housing unit before mounting it in the wall.
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
Provides effective and cost-efficient surveillance with real-time object detection and event recognition, enabling live video streaming and data transmission to external devices.
Implementation Method 1
infrared cameras to allow visualization of objects under low light conditions
Data Source
AI summary
A swimming pool surveillance system with camera integration including a plurality of cameras fixed at predetermined locations in walls of the swimming pool, a panel assembly in communication with the plurality of cameras and a server in communication with the panel assembly through a network. The plurality of cameras capture images and video of the swimming pool. The panel assembly includes a panel processor and a panel memory which receive and process the image and video data from the plurality of cameras and transmit the processed data to the server. The server receives and analyzes the processed data from the panel assembly to determine physiologic information and positional information of a person to define a drowning event, in response to determining the drowning event, the server transmits an alert notification to external devices.