ConductVision Enterprise
Drone Detection
See, classify, and track unauthorized drones before they reach your perimeter. Available for pilot.
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.
How it works
Drone Detection in three steps
Connect Surveillance Cameras
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.
Detect and Classify Drones
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.
Alert and Track
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.
Features
Multi-Type Drone Classification
Distinguishes between multirotor (quadcopter, hexacopter), fixed-wing, and VTOL drones. Size estimation helps differentiate consumer, commercial, and custom-built platforms.
Flight Path Tracking
Tracks drone position frame-by-frame and plots flight paths on a facility map. Historical data reveals approach patterns and operator launch positions.
Virtual Geofencing
Define 3D exclusion zones around your facility. Alerts trigger when any drone enters the zone, with severity levels based on proximity to the protected area.
PTZ Auto-Follow
When paired with PTZ cameras, the system commands pan/tilt/zoom to track the detected drone automatically, maintaining a centered view for operator assessment.
Multi-Sensor Fusion
Optionally integrates visual detection with radar tracks and acoustic sensors for layered detection. Visual confirmation validates radar contacts, reducing false alarms from birds.
Bird vs. Drone Discrimination
Classification models distinguish drones from birds based on flight dynamics, shape, and size. This reduces false alerts in environments with heavy bird activity.
Incident Replay and Forensics
All detection events are recorded with full video, flight path data, and timestamps. Exportable reports support incident investigation and regulatory reporting.
Use cases
Airport Perimeter Protection
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
Prison and Correctional Facility Security
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
Critical Infrastructure Protection
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
Event Venue Airspace Security
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
Military and Government Facilities
Sensitive facilities require continuous airspace monitoring. Visual detection can supplement electronic warfare systems with positive visual identification of aerial threats.
governmentdefense
Border and Perimeter Surveillance
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
- Models
- YOLOv8-S optimized for small-object aerial detection, with EfficientNet drone classifier
- Input formats
- RTSP, ONVIF, MP4, HLS, PTZ control protocols (Pelco-D, ONVIF PTZ)
- Output formats
- JSON, MQTT, Webhooks, KML flight paths, integration with C-UAS platforms
- Edge support
- NVIDIA Jetson Orin for field deployment, ruggedized outdoor enclosures, PoE powered
Accuracy and latency are measured against your footage and cameras during pilot scoping; we publish figures only with the conditions they were measured under.
Where this capability is used
Oil & Gas
Enhance safety, detect anomalies early, and maintain continuous visual oversight across remote and hazardous sites.
Infrastructure
Extend the lifespan and safety of critical infrastructure with continuous visual condition monitoring.
Mining & Quarrying
Protect personnel, monitor heavy equipment, and measure material volumes across surface and underground operations with continuous visual intelligence.
Energy & Utilities
Inspect generation assets, monitor grid infrastructure, and secure substations with vision analytics engineered for critical energy environments.
Government & Defense
Secure critical installations, monitor borders and perimeters, and protect government facilities with multi-layered visual intelligence.
Waste & Recycling
Sort materials with visual precision, detect contamination early, and optimize fleet and facility operations across the waste stream.
Related capabilities
People Detection
Occupancy intelligence from the cameras you already have. Available for pilot at any scale.
Vehicle Detection
Classify, count, and track vehicles, from bicycles to heavy trucks. Available for pilot.
Environmental Monitoring
Water levels, flood risk, vegetation health, and erosion, visual intelligence born from ConductScience's environmental research heritage. Available for pilot.
Evaluate Drone Detection on your footage
One prioritized outcome, your cameras, a structured results review.
