List of Omnilert AI Gun Detection Customers
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Since 2010, our global team of researchers has been studying Omnilert AI Gun Detection customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Omnilert AI Gun Detection for Physical Access Control System from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Omnilert AI Gun Detection for Physical Access Control System include: Sarasota County Schools, a United States based Education organisation with 6385 employees and revenues of $695.0 million, Chelsea School District United States, a United States based Education organisation with 332 employees and revenues of $52.0 million, Sonoran University, a United States based Education organisation with 382 employees and revenues of $21.0 million and many others.
Contact us if you need a completed and verified list of companies using Omnilert AI Gun Detection, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Chelsea School District United States | Education | 332 | $52M | United States | Omnilert | Omnilert AI Gun Detection | Physical Access Control System | 2023 | n/a |
In 2023, Chelsea School District United States deployed Omnilert AI Gun Detection as a Physical Access Control System across district facilities. The implementation connected nearly 200 upgraded interior and exterior cameras to provide continuous visual weapon detection and automated emergency workflows for physical security in the United States.
Omnilert AI Gun Detection was configured to ingest live video streams from the camera estate, executing 24/7 visual weapon detection and triggering detection-to-notification orchestration. Functional capabilities implemented included automated alerting, workflow orchestration for lockdown initiation, and expedited police notification.
Operational coverage included interior and exterior campus cameras across the district, supporting building-level lockdowns and district incident response procedures. The deployment focused on physical security business functions, enabling security and operations teams to receive near-instant notifications and act on automated workflows.
The deployment went into production in 2023 and delivered near-instant detection-to-notification, enabling automated lockdowns and faster police notification to improve response times. Governance and rollout details are limited. The implementation centers on continuous monitoring and automated emergency response orchestration driven by Omnilert AI Gun Detection.
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Sarasota County Schools | Education | 6385 | $695M | United States | Omnilert | Omnilert AI Gun Detection | Physical Access Control System | 2024 | n/a |
In 2024, Sarasota County Schools implemented Omnilert AI Gun Detection to monitor over 4,800 district cameras across 56 schools in Florida. The deployment was announced in August 2024 and the Omnilert AI Gun Detection implementation is categorized as a Physical Access Control System, representing one of the largest AI gun detection rollouts in the state.
The implementation configures continuous AI video analysis and real time situational intelligence for automated threat identification, with functional capabilities that include automated lockdown triggers, police notification, alerting and event tagging. Omnilert AI Gun Detection ingests live camera feeds from the district camera network and applies gun detection models to generate prioritized alerts for on campus responders and security staff.
Integrations center on the district wide camera estate, routing detection events into school emergency response workflows and law enforcement notification channels as part of standard operational playbooks. The Sarasota County Schools Omnilert AI Gun Detection Physical Access Control System supports K12 physical security, coordinating between school site administrators, district security operations and IT for camera feed management and alert routing.
Governance and rollout followed a district wide deployment plan across 56 schools with phased activation of camera clusters and incident escalation procedures revised to incorporate automated alerts and police notification. The implementation emphasizes system level orchestration of detection, alerting and response, and is positioned as a campus safety and emergency response control layer for Sarasota County Schools.
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Sonoran University | Education | 382 | $21M | United States | Omnilert | Omnilert AI Gun Detection | Physical Access Control System | 2023 | n/a |
In 2023 Sonoran University implemented Omnilert AI Gun Detection. The deployment layered Omnilert Gun Detect onto the institution's existing Avigilon camera system to protect students, staff and patients across its campus and onsite medical center.
As a Physical Access Control System Omnilert AI Gun Detection was configured to perform AI visual gun detection on live camera feeds, generating near instant weapon identification and feeding situational intelligence into campus security workflows while the model trained to reduce false positives. The implementation emphasized detection and automated alerting capabilities, and the Omnilert AI Gun Detection application provided continuous inference against Avigilon video streams.
Integration work focused on ingesting Avigilon camera streams and routing alerts into campus safety operations and medical center security. The first phase of rollout completed in 2023, covering core campus sites and the onsite medical center, with ongoing tuning of detection models to refine accuracy and lower false positives. The deployment impacted physical security, campus safety and healthcare operational workflows by introducing AI driven weapon detection and accelerated situational awareness.
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