A variety of gunfire detection solutions and other technology approaches seek to address the problem. ShotSpotter SiteSecure and ShotSpotter SecureCampus provide critical outdoor infrastructure protection against active shooter attacks. SiteSecure delivers critical information such as the number of shots fired, a detailed map of the airport or transportation facility, with the shooting location clearly identified.
SiteSecure also provides law enforcement and transportation facility management with real-time information that can be useful to identify and address false alarms and reduce mass panic.
ShotSpotter SecureCampus is a gunfire detection system designed to provide outdoor coverage at university and school campuses. Designed for college campuses and K-12 schools, SST SecureCampus provides gunfire detection, precise location, and number of shooters to first responders and school personnel, enabling faster response to an incident.
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× Gunshot detection can offer tremendous benefits in mitigating active shooting incidents occurring in a public facility or commercial environment. Data shows that active shooter attacks often begin outside a building and then progress indoors. Thus, the first line of defence for security professionals lies outside a facility, in a zone of protection surrounding it or comprising the entire outdoor area of a larger facility of many buildings.
Audio solutions for perimeter security
Video cameras are effective surveillance tools in the event of a shooting incident, but they are not able to capture everything. Deploying audio solutions can automatically flag incidents not caught on camera, as well as alert central station guards of what surveillance zones need to be closely monitored.
Audio analytics solutions for aggression and gunshot detection are some of the best security tools in the security market when it comes to detection, intervention and deterrence. They are the next generation of monitoring; equipping security teams with critical information and enhancing perimeter security.
End users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen
Aggression detectors are capable of accurately recognising duress in a person’s voice. The software automatically and objectively detects the presence of rising human aggression, anger or fear, and subsequently warns staff by a visual alert or alarm trigger. As a result, end users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen.
Artificial intelligence to detect weapons
A gunshot detector recognises firearm discharge from various firearms in different settings. Within seconds of a gunshot, the software accurately classifies and triggers an immediate notification through a designated VMS. Security staff can then verify the alert, effectively reducing the reaction time of first responders.
With the development of artificial intelligence (AI) in object recognition, AI weapons detection offers an efficient alternative to gunshot detection to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognise firearms in different shapes, sizes, colours, and at different angles in videos, so that the AI weapon detector can be deployed with existing camera systems, analyse the video feeds, and instantly notify security staff when a gun is spotted.
Audio analytics, processed inside a video camera, are another approach that can quickly pinpoint zones that security staff should focus on, which can dramatically shorten response times to incidents. Audio-derived data also provides a secondary layer of verification that an event is taking place which can help prioritise responses from police and emergency personnel.
Detecting audio levels and alerting operators
The first job of a well-configured camera or camera/mic pair is to detect sounds of interest while rejecting ancillary sounds and noise below a preset threshold. Each camera must be custom-configured for its particular environment to detect audio levels which exceed a user-defined level. Since audio levels are typically greater in abnormal situations, any audio levels exceeding the baseline set levels are detected as being a potential security event.
Operators can be notified of abnormal situations via event signals allowing the operator to take suitable measures
Operators can be notified of any abnormal situations via event signals allowing the operator to take suitable measures. Finding a baseline of background noise and setting an appropriate threshold level is the first step. Well configured audio analytics can deliver critical information about a security event, accelerating response times and providing timely details beyond video-only surveillance.
Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly. Hanwha Techwin's audio source classification technology, available in its X Series cameras, features three customisable settings for category, noise cancellation and detection level for optimum performance in a variety of installation environments.
