Facility Perimeters
Aim the detector at locations where a takeoff can be seen against a stable ground or sky background.
Drone Launch Detection Cameras for Operator Review
A drone lifting off near a controlled site can need a quick operational check. StreamVLM™ can send the visible launch activity from selected views to an operator.
The Visible Condition
Give the Operator a Frame to Review
The condition in scope is a small drone taking off, lifting from a surface, or being prepared for launch in the camera view. It is a visible scene detail, not a diagnosis, a conclusion about intent, or an automatic decision.
In StreamVLM™, an authorized operator writes a prompt such as “Alert when a drone launches near the perimeter.” The model evaluates selected live frames against that prompt and sends a match, camera, location, and time into the IREX event workflow for human review.
StreamVLM™ runs on a GPU node in the customer instance. Each prompt has its own confidence threshold, alert cooldown, event type, and camera selection.
This prompt-defined detector can be evaluated alongside the Drone Detection trained-module workflow. The two approaches have different frame-rate and operational-fit considerations, so a pilot should establish which is appropriate for the site.
Explore StreamVLM Prompt DetectorsWhere It Helps
Set the Prompt Where the Condition Matters
Correctional Grounds
Review the launch point and live context before treating the activity as unauthorized.
Utility Sites
Use the site’s aviation, security, or corrections procedure for a verified concern.
Illustrative Camera Frames
What the Operator Reviews
These illustrative frames show the kind of visible condition a prompt can surface. They are not real incidents, deployments, or proof of detection accuracy.
Drone launch
Near a Perimeter
The operator checks the launch area, live view, and local site rules before escalating.
Drone launch
A Visible Takeoff
A small object in the sky alone is insufficient context; the launch relationship needs review.
From Prompt to Action
A Review Workflow for This Condition
- 01
Select Likely Takeoff Areas
Write a concise prompt for a small drone taking off, lifting from a surface, or being prepared for launch in the camera view, then select the cameras and times where the condition warrants attention.
- 02
Confirm a Launch Rather Than an Unrelated Moving Object
Open the event with its camera, location, time, and available video context. Confirm what is visible before treating the match as actionable.
- 03
Apply the Facility’s Drone-Response Procedure
The authorized team applies the local procedure. StreamVLM supplies a review cue; it does not decide the response.
Limits to Test
Validate It on the Actual Cameras
- Scene Context
- Birds, distant aircraft, and small objects can be difficult to distinguish in wide views.
- Camera Fit
- The launch area needs sufficient light, contrast, and scale for review.
- Human Decision
- The event does not identify an operator or determine whether the flight is authorized.
- Timing
- A launch can be brief. StreamVLM evaluates sampled frames, so test whether the selected view and sampling behavior are useful for the facility’s response expectation.
FAQ
Can it distinguish a drone from a bird?
That depends on the view, scale, contrast, and motion visible in the frame. A pilot should measure useful matches on the selected cameras.
Can StreamVLM confirm drone launch?
No. It reports a match to the visible condition in the prompt. An operator reviews the frame and local context before deciding what it means.
How should a team tune the prompt?
Start with representative cameras, define what makes a useful alert, then adjust the camera selection, confidence threshold, and alert cooldown during a camera-specific pilot.
Is there a published accuracy figure for this use case?
IREX does not publish a universal accuracy figure for this prompt. Image quality, camera angle, lighting, occlusion, and the local definition of a useful alert all affect results.
Pilot Drone-Launch Review near the Perimeter
Start with a clear takeoff area and a defined response owner so the team can evaluate alert quality in context.