IoT Sensor Fusion Device for Event Validation
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Solution Overview
Problem
Current monitoring devices in environments lack real-time notification capabilities, are independently deployed with complex wiring, and are limited in application, leading to increased costs, reliability issues, and inefficient network resource usage due to independent operation and lack of direct communication.
Innovation Solution
An IoT-based integrated device with replaceable sensors and a programmable image/video capturing device, interfaced with a processor for real-time data correlation and transmission, allowing for event validation and notification without external analytics, reducing network resource consumption and simplifying deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple independent monitoring devices are deployed to monitor various events, then monitoring coverage is improved, but device complexity and wiring requirements increase
Solution Approach 1:
The patent combines multiple independent monitoring devices into a single integrated monitoring device that can detect multiple types of events (smoke, heat, motion, door status, etc.) using multiple sensors within one unit. This consolidation eliminates the need for multiple separate devices and their associated wiring, while maintaining comprehensive monitoring coverage across different event types.
Solution Approach 2:
The integrated monitoring device is designed with multi-functionality to perform various monitoring tasks simultaneously - detecting smoke, heat, motion, door status, and other environmental parameters all through a single device. This universal approach allows one device to replace multiple specialized devices, reducing overall system complexity while expanding monitoring capabilities.
2Adaptability or versatility
If multiple independent monitoring devices are deployed, then monitoring capabilities are enhanced, but cost of ownership increases
Solution Approach 1:
By merging multiple monitoring functions into a single integrated device, the patent reduces the total number of devices needed in the system. This consolidation lowers costs associated with purchasing multiple devices, installing complex wiring for each device, and performing maintenance on multiple independent units, while maintaining comprehensive monitoring capabilities.
3Measurement precision
If surveillance cameras transmit images and videos to external nodes for analytics, then event detection accuracy is improved, but network resource consumption increases
Solution Approach 1:
The patent extracts the analytics processing function from external nodes and implements it locally within the monitoring device itself. The device performs image analysis and event detection directly at the sensor level, extracting only essential event information rather than transmitting complete image streams. This approach maintains high event detection accuracy while dramatically reducing network bandwidth consumption.
Solution Approach 2:
The monitoring device performs self-analytics by processing images and sensor data locally using integrated processing capabilities. Rather than relying on external servers for analysis, the device autonomously detects events, validates them through multiple sensor inputs, and generates alerts only when actual events are confirmed, eliminating the need for continuous external network communication.
4Speed
If alarms are generated locally by monitoring devices, then response time is improved, but real-time notification to remote users is lost
Solution Approach 1:
The patent introduces a communication module as an intermediary that bridges local alarm generation and remote user notification. When events are detected, the communication module immediately transmits alerts through wireless networks (WiFi, cellular, or other protocols) to remote user devices, ensuring both instant local response and real-time remote notification without delay.
Data Source
AI summary
The present disclosure relates to real-time surveillance/monitoring of an environment using an Internet of Things (IoT) based integrated device. The integrated device comprises replaceable sensors and programmable image/video capturing device, that are communicatively connected to a processor. The processor correlates sensor data and data related to the images, audios and videos received from the replaceable sensors and the programmable image/video capturing device to validate occurrence of event in the environment. Later, information related to the validated events are transmitted to edge nodes, cloud servers, user devices or other sensor nodes for effective monitoring of occurred events. The integration of programmable image/video capturing device with the replaceable sensors helps in reducing chances of false event detection, as well as allows users to program the image capturing device for detection of various events. Also, integration of various sensors helps in reducing electrical wirings and overall complexity of the device.


