ConductVision Enterprise
ConductVision spots drones in sky-facing camera views, tells them apart from birds and aircraft, and logs each sighting for airport, venue and site security teams.
3 detectionsConductVision detections on this photo. Photo: Des Blenkinsopp, CC BY-SA 2.0, cropped.
Drone Detection uses visual analysis to identify unmanned aerial vehicles in camera feeds, classify them by type (multirotor, fixed-wing, VTOL), and track their flight paths in real time. The system can establish virtual geofences around protected areas and alert when a drone enters the exclusion zone. It is designed as a detection and awareness tool, it does not jam, disable, or interfere with drones, as such actions are subject to regulations. By fusing visual detection with optional radar and acoustic sensor data, the platform can provide layered airspace awareness for critical facilities.
Outcomes
A drone can come in from any side, and a person scanning the sky watches one direction at a time.
Staff at a gate or on a roof may see a drone late, or miss it.
When a drone appears over a site, staff need to find the person flying it.
Staff search on foot while the flight goes on, and the drone may be packed away before they arrive.
Sites hear about drone flights from staff reports, which depend on who happened to look up.
Without a count, a site cannot show whether flights are rising or tie them to events.
What the model sees
ConductVision detections on this photo. Photo: Maarten Visser, CC BY-SA 2.0, cropped.
ConductVision detections on this photo. Photo: Alan Hughes, CC BY-SA 2.0, cropped.
Endpoints
Each endpoint is defined before the pilot starts, with what is counted, its unit and how the results are broken down.
| Endpoint | How it is counted | Unit | Broken down by |
|---|---|---|---|
| PrimarySighting-to-alert time | Seconds from the first frame with a drone in view to the alert reaching staff. | Unit:seconds (median) | By:Camera, distance band |
| SecondaryDrone sightings | Separate drone appearances, counted once from first to last frame in each camera. | Unit:sightings per week | By:Camera, hour, weekday |
| Time in view | Seconds from the first to the last frame of each sighting, across all cameras that saw it. | Unit:seconds per sighting (median) | By:Camera |
| Operator located | Share of sightings for which staff on the ground record finding the person flying. | Unit:% | By:Site, shift |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Drone alert precision
Share of drone alerts that a reviewer confirms as a drone in a hand-checked sample of alert stills.
% · by camera, sky condition
Bird and aircraft mix-ups
Birds or aircraft reported as drones, counted from reviewed alerts per camera per day.
alerts per camera-day · by camera, cause
Test-flight detection
Share of test flights, flown by site staff on set routes and heights, that ConductVision detected.
% · by distance band, sky or cluttered background
How it works
Connect
Position PTZ or fixed cameras to cover the airspace around your facility. The system supports standard IP cameras; long-range cameras with optical zoom extend detection range.
Analyze
A specialized aerial-object detector identifies drone candidates against sky and cluttered backgrounds. Classification models determine drone type, and tracking algorithms build continuous flight path trajectories.
Act
When a drone enters a defined geofence zone, security personnel receive alerts with live tracking on a map overlay. PTZ cameras can be commanded to follow the drone automatically for continuous visual tracking.
What it detects
Drone
Quadcopters and other small drones in the sky, boxed in each frame
Bird
Each bird in view, kept apart from drones
Airplane
Aircraft on approach or departure, kept apart from drones
Person
People on the ground in the same view as a drone
Features
Use cases
Unauthorized drones near airports pose severe safety risks. Visual detection can provide an additional awareness layer for air traffic control and airport security, complementing radar-based systems.
transportationgovernment
Drones are used to deliver contraband over prison walls. Detection and tracking can provide advance warning to security staff, with flight path data aiding investigation of delivery attempts.
governmentlaw enforcement
Power plants, water treatment facilities, and data centers need to detect surveillance or sabotage drones. The system can provide 24/7 airspace monitoring around facility perimeters.
energyutilitiescorporate
Large outdoor events are vulnerable to unauthorized drone overflights. Detection can provide event security with real-time awareness and evidence for post-event enforcement.
eventsgovernment
Sensitive facilities require continuous airspace monitoring. Visual detection can supplement electronic warfare systems with positive visual identification of aerial threats.
governmentdefense
Long perimeters are difficult to monitor for small, low-flying drones. Camera networks with drone detection can provide automated coverage across extended boundaries.
governmentlaw enforcement
Technical overview
Accuracy and speed are measured on your footage and cameras during the pilot, and reported with the conditions they were measured under.
Industries
Watches crews, trucks and equipment at plants, well pads and tank farms.
Counts traffic and watches crews on bridges, rail lines and roads.
Tracks haul trucks, excavators and crews across the pit.
Watches crews, trucks and PPE at substations, solar farms and power lines.
Counts people and vehicles at public entrances and inspection lanes.
Tracks trucks, crews and equipment at sorting halls and landfills.
Related
Counts and tracks people in each camera view, by zone and hour.
Classifies, counts and tracks cars, trucks, buses, motorcycles and bicycles.
Watches water, wildlife, vessels and smoke at rivers, wetlands and shorelines.
Pilot
A pilot takes one prioritized outcome, runs on your cameras, reports the endpoints above and ends with a results review and a decision.
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