IoT Tracking System for Personal Safety via UV and LiDAR Detection
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Solution Overview
Problem
Existing tracking systems do not effectively provide personal safety and security by simultaneously monitoring environmental hazards such as excessive UV light and potential intruders, requiring users to carry multiple devices for UV and smoke detection.
Innovation Solution
A tracking system utilizing an IoT device equipped with a multifunctional UV sensor, LiDAR technology, and an accelerometer, connected to a telecommunications network, to detect excessive UV light, smoke, and unauthorized entries, providing alerts and security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users carry multiple separate devices for UV detection, smoke detection, and tracking, then each detection function can be performed accurately, but the device complexity and user burden increase
Solution Approach 1:
The patent combines UV detection, smoke detection, and location tracking functions into a single integrated device. The UV sensor, smoke sensor, GPS module, and communication module are merged into one unit that can perform all functions simultaneously, reducing the number of devices users need to carry while maintaining detection accuracy through dedicated sensors for each function.
Solution Approach 2:
The tracking device is designed with multi-functionality to perform UV detection, smoke detection, location tracking, and emergency communication all through a single device. This universal device replaces multiple specialized devices, simplifying the user experience while providing comprehensive safety monitoring through integrated sensors and processing units.
2Reliability
If real-time monitoring of environmental hazards and location is implemented, then personal safety and security are enhanced, but energy consumption increases
Solution Approach 1:
The device implements periodic monitoring of environmental hazards and location rather than continuous monitoring. The UV sensor and smoke sensor take measurements at regular intervals, and the GPS module updates location periodically. This periodic action maintains safety monitoring reliability while significantly reducing power consumption compared to continuous monitoring.
Solution Approach 2:
The device automatically adjusts its monitoring frequency and power consumption based on detected conditions. When hazards are detected or the device determines high-risk situations, it increases monitoring frequency. During normal conditions, it reduces power consumption by lowering sampling rates, allowing the device to serve itself in power management without user intervention.
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 effectively alerts users to potential environmental hazards and security threats, enhancing personal safety and security by consolidating multiple detection functions into a single device and providing real-time alerts and monitoring.
Implementation Method 1
determine whether an amount of UV light in the environment exceeds a threshold
Implementation Method 2
A tracking system utilizing an IoT device equipped with a multifunctional UV sensor, LiDAR technology, and an accelerometer
Data Source
AI summary
A tracking system is configured for personal safety and security. The tracking system includes an Internet of Things (IoT) device having a multifunctional ultraviolet (UV) light sensor and optionally includes one or more Time of Flight (ToF) sensors. The multifunctional UV sensor is used to detect when smoke particles exceed a threshold and when UV light exceeds a threshold. The thresholds vary depending on the location of the IoT device. The system can present an alert to a user when the thresholds are exceeded. The ToF sensor(s) can be used to build a baseline three-dimensional (3D) visualization of a secured zone, and alert the user of the presence of an unexpected person in that zone based on the 3D visualization.