AI is everywhere in safety and security. But in high-stakes moments, the questions get very specific, very fast: Can it spot a threat quickly enough to matter? How do you keep humans in the loop without slowing everything down? And how do you address privacy, false alarms, and real-world reliability?
In a recent SourceForge podcast, Eric Polovich, Director of Sales Operations at Omnilert, explains how visual AI-powered gun detection works in real environments and why the response workflow matters as much as the detection itself.
What This Episode Is Really About: Turning Detection into Action
Visual gun detection isn’t just an AI problem; it’s an operational one. It’s not enough to recognize a threat; organizations need a system that helps them act immediately and consistently when seconds matter.
Omnilert connects sub-second visual detection with human verification and automated response workflows to speed up emergency response the moment it counts.
In the podcast, Eric shares how the platform works, how it has evolved and what to consider when deploying AI for safety and security.
The conversation covers real-world needs across schools, healthcare, corporate campuses, venues and other public-facing environments, where early awareness and a coordinated response can save lives.
“The biggest thing we hear is relief,” Eric shared. “Schools talk about peace of mind knowing they’ve got that layer of protection. The hospitals that we work with appreciate that it works quietly in the background. It doesn’t disrupt anything. Logistics and retail implementations like the flexibility. We’re able to monitor parking lots, loading docks, entrances—all of it—with the same system.”
Key Takeaways You’ll Want to Hear
Omnilert’s evolution from communications to proactive safety
Omnilert has grown from emergency communications to proactive threat detection and response. Today, the emergency notification system works seamlessly with visual gun detection to deliver clear, multi-channel instructions fast so the right people can act immediately.
How visual AI gun detection works
Omnilert uses computer vision and neural networks to detect firearms in real time. Organizations can add gun detection to existing cameras without replacing their current system.
Why human oversight is a must-have
Human verification is important for building trust. It helps reduce false alarms and improves decision-making in critical situations.
Adaptability across industries and the privacy conversation
Omnilert’s weapon-focused detection is paired with response workflows and integrations for real-world use.
The Differentiator: Data-Centric AI vs. Model-Centric AI
Omnilert is unique because it uses AI that focuses on data. This approach improves the quality and variety of training data rather than just adjusting the model.
By using data-focused AI, the system can operate in the real world. It’s built to handle the everyday challenges of security cameras like changes in lighting, angles, obstructions, distance and different environments.
From Detection to Coordinated Response
By connecting detection, verification, communication and response, you can create a seamless safety process.
Omnilert enables this end-to-end process with:
• Fast, accurate visual AI gun detection
• Deployment on the cameras you already have
• Human verification in seconds
• Automated alerts across multiple channels
• Response automation and rapid lockdown workflows
• Integrations into your broader security ecosystem
Listen to the Full Episode – Then See It in Action
If it has you thinking, “Will this work with our current cameras?” “How fast can we verify detections?” or “What response actions can we automate?”, the next step is to try it out.
Request a demo to see how Omnilert works with your existing security infrastructure and get your team from detection to response fast.
