Truck
Detection of trucks at docks, yards and internal roads — data for traffic and dock-scheduling management.
Trucks detected at docks, yards and internal roads
The "Truck" class is an object detector that recognizes heavy goods vehicles in the camera image. In logistics, the presence of large vehicles at loading docks, yards and internal roads drives both throughput and traffic safety.
Automatic detection lets you track truck movement in real time — when a vehicle pulls up to a dock, how long it stays there and whether it is blocking a road — instead of reconstructing the day from footage afterwards.
Measure dwell time at the dock
Detecting a truck at a dock lets you measure how long the vehicle stays and monitor dock occupancy.
Configurable zones
You define the areas — docks, yard, internal roads — where detection matters.
Around-the-clock monitoring
Detection runs continuously, 24/7, with no fatigue or breaks — every shift of traffic is covered.
How truck detection works
Industrial cameras cover the docks and traffic zones while vision servers run the YOLO detection model for the "truck" class at the edge. Every detection becomes an event that integration gateways forward to AndonCloud and machine PLCs.
The event turns into a counter, an alert, an andon signal, a dashboard entry and a report line — and feeds more complex logistics scenarios such as dock occupancy — with no footage sent to the cloud.
Detection at the edge
The YOLO model runs locally on the vision server — low latency and no footage streamed off-site.
Andon & PLC integration
A detected event can trigger a light signal, a dispatcher notification or an action on a controller.
No footage in the cloud
Analysis happens at the edge — only events leave the site, not the video stream.
Example use and privacy
When a truck stops on an internal road and blocks the passage, the camera spots the vehicle in the zone and triggers a dispatcher alert, while the event and its dwell time land in the traffic report.
The system recognises the object and its state — the presence and position of a truck — not the identity of people or licence plates; it performs no biometric identification.
No personal identification
Detection is about an object and its state, not personal data — no face or plate recognition.
A full event trail
Every detection is logged with time and zone, ready for throughput and traffic analysis.
Ready for logistics reports
Every detection lands in a report with time and zone — ready for dwell-time and dock-scheduling analysis.
System
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Documentation
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FAQ
Frequently asked questions
- The presence and position of a heavy goods vehicle in the watched zone — at docks, yards and internal roads. The system recognises the object and its state, not the identity of people.
- No. Detection is about an object and its state — there is no biometric identification, face recognition or licence-plate reading.
- Yes. Detection areas are configurable, so the system reacts only where it matters — for example at a specific dock or on an internal road.
- The event feeds a counter, an alert, an andon signal, a dashboard entry and a report line; it can also trigger an action on a machine controller or a barrier.
- Yes. Detecting the vehicle's presence in a zone lets you measure dwell time at the dock and monitor dock occupancy.
- Standard industrial IP cameras watching the docks and traffic zones; the image is analysed locally by the vision server.
- No. Analysis happens at the edge — only events leave the site, not the video stream.
- Yes. Truck detections can feed scenarios such as dock occupancy, dwell time or spotting vehicles blocking roads, and integration gateways link them to AndonCloud and PLC controllers.
The Truck class is an object detector that recognizes heavy goods vehicles in the camera image. Detecting trucks is central to logistics: at loading docks, yards and internal roads, where the presence of large vehicles drives throughput and traffic safety.
In AndonCloud, industrial cameras cover the docks and traffic zones and vision servers run detection at the edge with the YOLO model. Every truck detection becomes an event that flows through integration gateways into AndonCloud, feeding counters, dashboards, alerts and reports, as well as more complex logistics scenarios such as dock occupancy.
For example, truck detection lets you measure how long a vehicle stays at a dock and spot trucks blocking internal roads. The system recognizes the object and its state, not the identity of people — it performs no biometric identification, so it supports traffic management while respecting privacy.
Contact
Contact us
If you have any questions, talk to our expert
We will respond within the next business day
sales@andoncloud.comPhone
Monday - Friday; 9:00 - 17:00
+48 71 340 70 15
Marcin Wierzbicki
During the meeting, we will present the product and help you configure the system in your company efficiently and quickly. Our team is at your disposal.
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