Vehicle Gunpowder Detection with Crowdsourced False-Positive Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting firearms, such as metal detectors and gunshot event detection, are inadequate in preventing firearm-related violence, as they fail to detect plastic guns and do not prevent shooting incidents before they occur.
Innovation Solution
A system utilizing vehicles equipped with gunpowder sensors that collect and analyze sensor data, determine detection locations, and utilize crowdsourced map data to verify the presence of gunpowder, communicating alerts only when the detection is confirmed as non-false positive.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If metal detectors are used to detect firearms, then metal-containing firearms can be detected, but plastic guns and other non-metal firearms cannot be detected
Solution Approach 1:
The patent changes the detection parameter from metal-specific detection to gunpowder-specific detection. By detecting the presence of gunpowder (a chemical substance) rather than metal (a physical material), the system can identify firearms regardless of their construction material, including plastic 3D-printed guns that contain gunpowder magazines or components.
Solution Approach 2:
The patent replaces the mechanical/electromagnetic detection system (metal detector) with a chemical detection system (gunpowder sensor). This substitution enables detection based on chemical presence rather than physical material properties, thereby detecting firearms made from non-metallic materials.
2Loss of time
If gunshot event detection is used to identify fired guns, then post-shooting events can be detected, but shooting incidents cannot be prevented before they occur
Solution Approach 1:
The patent performs preliminary detection of gunpowder presence before a shooting event occurs. By detecting gunpowder in advance (in magazines, clips, or firearm components), the system enables preventive action rather than reactive response, allowing authorities to intervene before violence unfolds.
Solution Approach 2:
The patent converts the harmful presence of gunpowder (which enables violence) into a beneficial detection target. By detecting the very substance that makes firearms dangerous, the system transforms a security threat into a detectable signal that enables prevention.
3Area of stationary object
If gunpowder sensors are deployed in multiple vehicles, then detection coverage is improved, but false positive detections increase
Solution Approach 1:
The patent implements a feedback mechanism where sensor data from multiple vehicles is collected, analyzed, and cross-validated. The system processes detections through a network that can confirm or refute alerts based on multiple data points, environmental context, and patterns, thereby reducing false positives while maintaining broad coverage.
Solution Approach 2:
The patent merges data from multiple gunpowder sensors across different vehicles into a unified detection system. By combining and analyzing data collectively rather than in isolation, the system can distinguish true positives from false positives through pattern recognition and cross-validation, improving overall detection accuracy.
Data Source
AI summary
Methods and systems for detecting gunpowder are provided. The method includes collecting sensor data from a plurality of vehicles each comprising one or more gunpowder sensors, detecting presence of gunpowder based on the sensor data of the gunpowder sensors, determining a detection location where the presence of gunpowder is detected based on vehicle location data from the vehicles, determining whether the detection of the presence of gunpowder is false positive based on the detection location and map data from a crowdsourced map, and communicating the detection of the presence of gunpowder in response to determining that the detection of the presence of gunpowder is not false positive.