IoT Firearm Sensor Module for Real-Time Event Detection
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Solution Overview
Problem
Current firearm monitoring systems lack comprehensive real-time intelligence and situational awareness, particularly in detecting un-holstering, holstering, and discharge events, and do not provide adequate video and audio data capture and transmission for forensic analysis and public safety.
Innovation Solution
An Internet of Things (IoT) Automated Intelligence Module (AIM) is mounted on firearms, equipped with an Inertial Measurement Unit, camera, audio recording unit, and GPS, which detects critical events, captures video and audio data, and transmits real-time location and orientation information via LPWAN or Bluetooth networks to end-users for immediate alerts and forensic evidence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive sensors (IMU, camera, audio, GPS) are integrated into the firearm monitoring system, then situational awareness and forensic capability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor functions (IMU for motion detection, camera for visual evidence, audio for sound recording, GPS for location tracking) into a single integrated sensor module that attaches to the firearm. This merging approach captures comprehensive forensic information while managing device complexity through unified architecture.
Solution Approach 2:
The sensor module is designed as a multi-functional device that simultaneously performs motion detection, video recording, audio capture, and location tracking. This universal design allows a single device to provide complete forensic information across multiple modalities without requiring separate specialized devices.
2Loss of time
If real-time data transmission is implemented for all critical events, then response time is improved, but energy consumption increases
Solution Approach 1:
The system transmits data periodically based on detected events rather than continuously. The IMU detects critical events (discharges, drops, unauthorized movement) and triggers data transmission only when events occur. This event-driven periodic transmission reduces energy consumption compared to continuous transmission while maintaining rapid response to critical situations.
Solution Approach 2:
The system uses feedback from the IMU sensor to control transmission behavior. When the IMU detects a critical event, it triggers the transmission of relevant data. This feedback mechanism ensures real-time response to important events while avoiding unnecessary energy consumption during normal operation when no events are occurring.
3Volume of moving object
If multiple sensors and processing units are integrated into a single board, then module compactness is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent implements a nested architecture where the sensor module contains a single board computer that integrates multiple processing functions. The single board computer itself is a compact integrated unit that houses the microcontroller, memory, and processing circuits in a nested configuration. This nesting approach achieves compactness while managing manufacturing complexity through standardized single-board designs.
Solution Approach 2:
The system uses parameter changes in the electronic components, specifically employing low-power microcontrollers and optimized memory configurations to reduce the physical size of each component. By selecting components with appropriate power and size parameters, the patent achieves a compact overall module volume while maintaining manufacturability through standard electronic component fabrication processes.
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 provides enhanced situational awareness and real-time intelligence to authorities, enabling immediate response to critical events and aiding in forensic analysis, thereby improving public safety and operational efficiency.
Implementation Method 1
an Inertial Measurement Unit (IMU) configured to detect at least one critical event, such as the firearm discharge event
Implementation Method 2
a Global Positioning System (GPS) receiver coupled to the LPWAN RF transceiver
Implementation Method 3
configured to transmit weapons intelligence data and alert notifications to an external end-user application
Implementation Method 4
a video unit composed of a video recording unit extending externally of the sensor module enclosure, and a video processing unit
Implementation Method 5
an audio unit composed of a microphone extending externally of the enclosure, and an audio processing unit
Data Source
AI summary
An Internet of Things (IoT) Automated Intelligence Module (AIM) (or sensor module) is mounted on a firearm to gather weapons intelligence data (including video/audio data) when a critical event, such as the firearm un-holstering, and/or discharge, as well as emergency situation, is (are) detected. The IoT sensor module is capable of immediate detection of un-holstering of the firearm, firearm discharge(s), the number of the discharges, as well as 3-D positioning of the firearm at the time of discharge, and notification alerts to designated recipients (i.e., computer aided dispatch, commanders, supervisors, superintendents, etc.) of the firearm status change or critical events in the field. The captured video/audio and the weapon's intelligence data are transmitted to end-users' application desktops, mobile devices, and/or web-based interfaces to provide the designated recipients with situational awareness of personnel in the field and crucial information that can be used for post crime scene analysis.