ConductVision Enterprise
ConductVision counts trucks, buses and cars on bridges and detour routes and logs people on rail bridges and vehicles inside road work zones for asset owners.
24 detectionsConductVision detections on this photo. Photo: Calistemon, CC BY-SA 4.0, cropped.
Bridges, roads, dams, tunnels, and utility networks form the backbone of modern society, yet inspection and maintenance of these assets rely heavily on periodic manual assessments that are expensive, slow, and limited by accessibility. Structural degradation often progresses undetected between inspection cycles, and the consequences of failure are severe. ConductVision's technology can enable continuous or high-frequency visual monitoring of infrastructure assets using fixed cameras, drone imagery, and mobile inspection platforms. Crack propagation, surface deterioration, deformation, and environmental damage can be detected and tracked over time, providing asset managers with objective condition data between traditional inspection intervals.
Outcomes
Older bridges carry weight limits, and engineers rarely know how many heavy trucks still cross them.
Load ratings and repair plans then rest on traffic estimates for that structure.
Road crews work beside live traffic, and the crew lead cannot watch the cones and the work at once.
A car that drifts inside the coned area is a near miss that goes unreported.
People walk across rail bridges and along tracks where no path exists.
Without counts, owners cannot show which structures need fencing or signs.
A lane closure for repairs pushes traffic onto detours that no one counts.
Planners set the next closure window without knowing how traffic responded to the last one.
Critical infrastructure inspection cycles are measured in months or years, creating windows where deterioration can progress unchecked. Manual inspection of bridges, tunnels, and dams is constrained by accessibility, weather, and traffic disruption. Utility pole and transmission line inspection across thousands of miles is extraordinarily labor-intensive.
ConductVision can process imagery from permanently installed cameras and periodic drone flights to detect cracks, spalling, corrosion, vegetation encroachment, and structural deformation. Change detection algorithms can track progression over time, and severity classifications can prioritize maintenance scheduling.
What the model sees
ConductVision detections on this photo. Photo: Tbatb, CC BY-SA 4.0, cropped.
ConductVision detections on this photo. Photo: Pulsarwind, CC BY-SA 4.0, 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 |
|---|---|---|---|
| PrimaryHeavy vehicle crossings | Trucks and buses detected crossing a bridge deck, counted once per vehicle per crossing. | Unit:crossings per day | By:Bridge, direction, hour |
| SecondaryWork-zone intrusions | Vehicles detected inside a coned work area while a crew is present, counted once per vehicle. | Unit:intrusions per shift | By:Site, lane |
| Track trespass | People detected on a rail bridge or track section, counted once per person per visit. | Unit:people per week | By:Site, hour |
| Detour share | Vehicles counted on the detour as a share of vehicles counted on both routes during a closure. | Unit:% | By:Closure, hour |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Vehicle class agreement
Share of sampled vehicles where the ConductVision class (car, truck or bus) matches a reviewer's call.
% · by camera, class
Count agreement
Difference between the ConductVision hourly count and a reviewer's hand count of the same hour of footage.
vehicles per hour (mean absolute difference) · by camera, light conditions
Intrusion recall
Share of work-zone intrusions found by a reviewer in sampled footage that ConductVision also logged.
% · by site
Capabilities
Boxes each unit on a production line, with defect classes trained on your parts.
Spots and tracks small drones in the sky over sites and perimeters.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Watches water, wildlife, vessels and smoke at rivers, wetlands and shorelines.
Counts and tracks people in each camera view, by zone and hour.
Use cases
Fixed cameras and periodic drone imagery can capture bridge deck surfaces, expansion joints, bearings, and substructure elements. Crack detection and spalling analysis algorithms can track deterioration progression and flag conditions that warrant engineering evaluation.
Vehicle-mounted and overhead cameras can detect potholes, rutting, cracking patterns, and pavement edge deterioration. Severity classifications can be geotagged and integrated with asset management databases for maintenance prioritization.
Drone and helicopter imagery can be analyzed for pole lean, crossarm damage, insulator degradation, and vegetation clearance violations. Priority queues can be generated for maintenance crews based on severity and proximity to population centers.
Fixed cameras can monitor dam faces, spillways, and downstream toe areas for seepage indicators, erosion, and structural movement. Change detection between successive images can provide early warning of conditions that may require engineering intervention.
Cameras inside tunnels can monitor lining condition, lighting function, drainage, and incident detection. Vehicle breakdowns, wrong-way entries, and smoke events can be detected and escalated to tunnel operations centers in real time.
Related
Counts people, vehicles and bikes at intersections, stops and public spaces.
Tracks PPE, people and heavy equipment across the jobsite.
Watches crews, trucks and equipment at plants, well pads and tank farms.
Pilot
Tell us about your sites and cameras, and a ConductVision engineer replies with a scoping plan built around the endpoints above.
