ConductVision Enterprise
ConductVision times truck queues at the terminal gate and under the cranes and flags people in a crane's working lane for port and terminal operators.
3 detectionsConductVision detections on this photo. Photo: Matti Blume, CC BY-SA 4.0, cropped.
Ports are among the most complex operational environments in global logistics, managing simultaneous vessel arrivals, thousands of container movements, heavy equipment operations, and strict perimeter security requirements within constrained physical footprints. Delays at any stage ripple through supply chains, yet visibility into real-time operations remains fragmented across multiple legacy systems. ConductVision's technology can provide integrated visual analytics across the full port operational cycle: vessel approach and berth management, container identification and tracking, crane and equipment monitoring, perimeter security, and loading/unloading verification. The platform can transform existing port camera infrastructure into a unified operational intelligence layer.
Outcomes
Trucks line up on the access road before the in-gate opens and again at peak hours.
Long queues back up onto public roads and stretch every driver's turn time.
Yard trucks bunch up under one crane while another crane waits for its next truck.
Either wait adds to the ship's time at berth.
Lashing crews and checkers work on the quay under ship-to-shore cranes.
A person under a moving container is a near miss that rarely gets reported.
Ports handle thousands of container moves per day across multiple berths, with each movement involving coordination between vessels, cranes, yard trucks, and rail systems. Container identification errors cause costly misloads and delays. Perimeter security across miles of waterfront and fencing requires monitoring capacity that exceeds traditional guard forces.
ConductVision can read container codes and trailer markings from existing cameras, tracking assets from gate entry through yard storage to vessel loading. Crane cameras can verify load sequences against stowage plans. Perimeter cameras can detect intrusions, unauthorized vessel approaches, and waterside security breaches across the full port boundary.
What the model sees
ConductVision detections on this photo. Photo: CEphoto, Uwe Aranas, CC BY-SA 3.0, cropped.
ConductVision detections on this photo. Photo: Achim Lammerts (Syntaxys), 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 |
|---|---|---|---|
| PrimaryGate queue wait | Minutes from a truck joining the access-road queue to its arrival at the in-gate. | Unit:minutes (median) | By:Gate, hour |
| SecondaryQueue length | Trucks counted in the access-road queue view, sampled every 5 minutes. | Unit:trucks (hourly peak) | By:Gate, hour |
| Crane lane wait | Minutes a yard truck stays in a crane lane, from arrival to departure. | Unit:minutes (median) | By:Crane, shift |
| Under-load near misses | People detected in a crane's working lane while a container moves overhead, counted once per event. | Unit:events per crane-shift | By:Crane, shift |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Queue count agreement
Difference between the ConductVision queue count and a reviewer's hand count on sampled frames.
trucks per frame (mean absolute difference) · by camera, time of day
Wait time error
Difference between the arrival time ConductVision records and a reviewer's timestamp for sampled trucks.
seconds (median absolute difference) · by lane
Near-miss precision
Share of near-miss alerts that a reviewer confirms in a hand-checked sample of clips.
% · by crane
Capabilities
Reads container codes, wagon numbers, labels and signs from camera frames.
Classifies, counts and tracks cars, trucks, buses, motorcycles and bicycles.
Counts and tracks people in each camera view, by zone and hour.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Use cases
Gate, yard, and quayside cameras can read ISO 6346 container codes, chassis numbers, and seal status. Containers can be tracked through every yard move, eliminating manual code entry errors and enabling real-time yard inventory accuracy.
PTZ cameras can monitor vessel approach, mooring operations, and berth utilization. Loading and unloading progress can be tracked against planned schedules, providing operations centers with real-time berth productivity data.
Cameras along fencing, waterfront, and access points can detect unauthorized personnel, vehicles, and watercraft. Intrusion alerts can be classified by zone and threat level, enabling security teams to coordinate responses across large perimeters.
Cameras on ship-to-shore cranes, RTG cranes, and straddle carriers can verify load handling, anti-collision clearances, and operational status. Idle time and cycle time analytics can identify equipment utilization opportunities.
Quayside cameras can verify container placement against the stowage plan, detecting misloads before vessel departure. Bay, row, and tier positions can be confirmed visually, providing an independent check against terminal operating system data.
Inbound and outbound gate cameras can capture container codes, chassis numbers, driver identification, and damage condition in a single pass. Gate transaction time can be reduced while data accuracy improves over manual entry.
Related
Tracks forklifts, pallets, trucks and people from dock door to rack.
Counts people, vehicles and bikes at intersections, stops and public spaces.
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.
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