AI Weapon Detection with Pose Estimation
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Solution Overview
Problem
Current security systems lack an effective method to prevent or mitigate mass shootings by accurately detecting potential shooters from surveillance camera feeds.
Innovation Solution
An artificial intelligence-based system that analyzes surveillance camera feeds to detect human body structures and associate them with firearms, determining the probability of a person representing a danger based on limb positions and weapon presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional security systems are used, then system simplicity is maintained, but detection precision of potential shooters is insufficient
Solution Approach 1:
The system segments the detection task into multiple specialized modules: pose estimation module for body structure analysis, object detection module for firearm identification, and reasoning module for threat assessment. Each module focuses on a specific aspect of shooter detection, improving overall precision while managing complexity through functional decomposition
Solution Approach 2:
The system merges multiple detection capabilities (pose estimation, object detection, attribute tagging) into an integrated security analysis platform. By combining these modules and establishing human-gun associations through a unified reasoning framework, the system achieves comprehensive threat detection that surpasses individual system capabilities
2Measurement precision
If advanced object detection is implemented, then detection precision improves, but processing time increases
Solution Approach 1:
The system performs preliminary pose estimation and object detection in parallel before conducting the reasoning analysis. By pre-processing and tagging attributes (body structures, limbs, hands, firearms, holding states) beforehand, the reasoning module receives prepared data that accelerates the final threat probability determination
Solution Approach 2:
The reasoning module autonomously integrates results from pose estimation and object detection modules, automatically establishing human-gun associations and computing threat probabilities without requiring external intervention. This self-service approach minimizes additional processing time while maintaining high detection precision
Data Source
AI summary
Disclosed herein is an artificial intelligence-based system and method for detecting possible danger in a scene contain one or more people. Individual people are detected and it is determined if one of the person's limbs is in a threatening position and if the hand of the person is holding a weapon. The system uses neural networks to detect people and weapons and classifiers to determine a probability of danger, based on the evaluation of the position and state of the limbs of the person.