Gunshot Event Mapping for Real-Time Gunman and Crowd Tracking
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Solution Overview
Problem
Gunshot events in schools are difficult to manage due to loose door access control, large campus areas, dense population, and multiple buildings, making it hard to quickly identify gunman, security personnel, and ordinary people's locations.
Innovation Solution
An electronic map is created using image pick-up devices and gunshot detection devices to identify and track gunman characteristics, with hardware ID labels for security personnel, allowing continuous updating of locations on the map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a campus occupies a large area and is densely-populated, then the environment can accommodate more persons and activities, but it becomes difficult to monitor intrusion of criminals and identify locations of individuals in a short time
Solution Approach 1:
The campus environment is divided into multiple detection zones covered by different image pick-up devices and gunshot detection devices. Each device monitors a specific segment of the environment, and the system integrates information from all segments to provide comprehensive location tracking of individuals across the entire large campus area.
Solution Approach 2:
The system introduces an intermediary electronic map that consolidates location information from multiple detection devices. This electronic map serves as a mediator that transforms complex data from numerous sensors into a simplified visual representation, enabling rapid identification of individual locations across the large campus area.
2Ease of operation
If door access control of a campus is not strict to allow free entry and exit, then ease of operation for persons is improved, but it becomes difficult to distinguish between ordinary persons, gunmen, and security personnel
Solution Approach 1:
The system uses visual labeling with different colors on the electronic map to distinguish between different types of persons. Ordinary persons, gunmen, and security personnel are represented by distinct visual markers, enabling rapid differentiation without restricting physical access control.
Solution Approach 2:
The system changes the detection parameters dynamically based on the situation. During normal times, the system monitors basic presence. When a gunshot event is detected, the system activates gunman characteristics detection procedure to identify gunmen based on specific characteristics such as temperature anomalies or gun-shaped outlines, allowing distinction between persons without restricting access.
3Speed
If the gunman characteristics detection procedure is always activated to ensure rapid identification of gunmen, then the speed of detecting gunmen is improved, but the loss of time for normal operations and the complexity of the system increases
Solution Approach 1:
The gunman characteristics detection procedure operates periodically rather than continuously. It remains dormant during normal operations and is activated only when a gunshot event is detected by the gunshot detection devices. This periodic activation maintains rapid detection capability while minimizing time consumption and system complexity during normal campus operations.
4Measurement precision
If multiple detection devices are deployed to cover the entire campus area, then the measurement precision of individual locations is improved, but the device complexity and cost increase
Solution Approach 1:
The system employs multi-functional detection devices that can perform multiple tasks. Image pick-up devices serve both general surveillance purposes and specific gunman identification functions. The same devices are used for both monitoring ordinary persons and detecting gunmen based on characteristics such as temperature or gun-shaped outlines, reducing overall system complexity while maintaining high location precision.
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
Enables rapid location and tracking of gunmen, assisting security personnel in planning attack routes and helping ordinary people escape by providing real-time map updates.
Implementation Method 1
using a plurality of image pick-up devices to pick up an image of each person in the environment
Implementation Method 2
using a plurality of gunshot detection devices to detect whether a gunshot event occurs in the environment
Implementation Method 3
each of the plurality of gunman characteristics detection devices detects presence of a temperature higher than 45° C. in a detection range thereof
Data Source
AI summary
A method of locating and tracking each person in a gunshot event includes creating an electronic map based on an environment. A plurality of image pick-up devices is used to pick up an image of each person in the environment. A plurality of gunshot detection devices is used to detect whether a gunshot event occurs in the environment. When a gunshot event is detected, a gunman characteristics detection procedure is activated. When the gunman characteristics detection procedure detects an image of a person fulfilling gunman characteristics, the person is labeled as a gunman, and the location of the gunman is uploaded and designated on a corresponding location on the electronic map. When no gunshot event is detected, the gunman characteristics detection procedure is not activated. The image is used to track movement and location of the gunman and to continuously update the location of the gunman on the electronic map.