Gun detection: Datasets & Models

Manual monitoring of security cameras is slow, error-prone, and does not scale: a single operator watching dozens of feeds will inevitably miss the split-second appearance of a weapon, especially during long shifts. Automating gun detection means every frame from every camera is screened continuously, so a visible firearm can trigger an alert to security staff or law enforcement within seconds. For schools, retail sites, transit hubs, and other facilities, that difference in response time is the concrete benefit that turns passive recording into active threat prevention.

Teams get consistent, round-the-clock screening across all camera feeds without adding headcount, and detections can be routed into existing alerting, access control, and incident-response systems. Because the workflow runs on standard surveillance hardware and IP cameras, deployment scales from a single entrance to a campus-wide network. Faster, automated alerts shorten the window between a weapon appearing and a response being initiated.

1. Upload an image: Drop any photo into the widget above to try gun detection for free, right on this page.
2. Preview instant results: The model detects handgun, rifle, shotgun, pistol within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.