ConductVision Enterprise
ConductVision measures vehicle lane waits at ports of entry, visitor lines at public entrances and stops in approach lanes for government facility operations teams.
22 detectionsConductVision detections on this photo. Photo: Raimond Spekking, CC BY-SA 4.0, cropped.
Government agencies and defense organizations manage vast perimeters, critical infrastructure, and high-security facilities where the consequences of undetected intrusion or surveillance failure can be severe. Traditional security architectures rely on human operators monitoring camera feeds around the clock, an approach vulnerable to attention fatigue, staffing gaps, and the sheer volume of feeds across distributed installations. ConductVision's technology can augment security operations with automated perimeter monitoring, anomaly detection, and multi-sensor fusion across government and defense installations. The platform can reduce operator fatigue by surfacing only actionable events while maintaining continuous coverage across extended perimeters and multiple facilities.
Outcomes
Cars, trucks and buses queue at inspection lanes, and posted wait times come from rough estimates.
Staff open or close lanes late, and travelers plan crossings on old numbers.
Visitors queue at the public entrance in morning peaks and before hearings.
Long lines spill onto the sidewalk and make visitors late for appointments.
Delivery vans and visitors stop in the approach lane while they look for the right gate.
Stopped vehicles block staff traffic and keep the gate team busy redirecting drivers.
Government facilities and defense installations face persistent threats across perimeters that may span miles of fence line, coastline, or restricted airspace. Monitoring operations rooms staff hundreds of camera feeds that exceed human attention capacity, particularly during overnight shifts. Border monitoring environments present additional challenges including extreme weather, wildlife false alarms, and vast distances between patrol assets.
ConductVision can process perimeter camera feeds to detect human and vehicle approaches, classify threat levels based on behavior and trajectory, and filter wildlife and environmental false alarms. Multi-camera tracking can follow subjects across overlapping fields of view, and drone detection models can identify unauthorized aerial vehicles approaching restricted airspace.
What the model sees
ConductVision detections on this photo. Photo: GSyalindri-WMF, CC BY-SA 4.0, cropped.
ConductVision detections on this photo. Photo: User:Vmenkov, CC BY-SA 3.0, 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 |
|---|---|---|---|
| PrimaryLane wait time | Minutes from a vehicle joining a lane queue to its arrival at the inspection booth. | Unit:minutes (median) | By:Lane, vehicle type, hour |
| SecondaryLane throughput | Vehicles passing each inspection booth, counted once per vehicle. | Unit:vehicles per lane-hour | By:Lane, vehicle type |
| Visitor queue length | People counted in the entrance queue view, sampled every 5 minutes. | Unit:people (hourly peak) | By:Entrance, hour |
| Approach-lane stops | Vehicles stopped in the approach lane longer than the set time, counted once per stop. | Unit:stops per day | By:Entrance, hour |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Vehicle type agreement
Share of sampled vehicles where the ConductVision type matches a reviewer's call.
% · by lane, light conditions
Wait time error
Difference between the queue entry time ConductVision records and a reviewer's timestamp for sampled vehicles.
seconds (median absolute difference) · by lane
Queue count agreement
Difference between the ConductVision queue count and a reviewer's hand count on sampled frames.
people per frame (mean absolute difference) · by entrance
Capabilities
Flags people and vehicles inside the zones you draw on each camera.
Counts and tracks people in each camera view, by zone and hour.
Classifies, counts and tracks cars, trucks, buses, motorcycles and bicycles.
Spots and tracks small drones in the sky over sites and perimeters.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Use cases
Fence line and open-area cameras can detect human and vehicle approaches within configurable exclusion zones. Classification models can distinguish between personnel, vehicles, animals, and environmental motion to minimize false alarm rates. Verified detections can be escalated to security response teams with camera coordinates and tracking data.
Long-range cameras and thermal imagers can monitor border corridors for unauthorized crossings. Detection models can classify individuals, vehicle types, and group sizes, providing border security operations with situational awareness across remote segments where patrol presence is intermittent.
Cameras at power plants, water treatment facilities, communications hubs, and transportation nodes can provide layered security monitoring. Behavioral analytics can detect loitering, vehicle circling, and pre-operational surveillance patterns that may indicate threat activity.
Cameras can detect and track unauthorized unmanned aerial vehicles approaching restricted airspace around government facilities. Detection events can be classified by drone type and flight pattern, and alert data can be forwarded to counter-UAS response systems.
Cameras at controlled access points can detect tailgating, credential sharing, and unauthorized entry attempts. Person counting across doorways can verify that the number of entries matches access control system badge reads, flagging discrepancies for security review.
Cameras across motor pools, storage areas, fuel points, and maintenance facilities can monitor activity patterns and detect unauthorized access or unusual operational tempos. Historical activity data can establish baseline patterns for anomaly detection.
Related
Counts people, vehicles and bikes at intersections, stops and public spaces.
Counts traffic and watches crews on bridges, rail lines and roads.
Watches crews, trucks and PPE at substations, solar farms and power lines.
Pilot
Tell us about your sites and cameras, and a ConductVision engineer replies with a scoping plan built around the endpoints above.
