Your gatehouse checks paper while the truck costs by the hour.
Kavuka Vehicle OCR reads the license plate (LPR), vehicle and driver documents and does the rest: it checks vehicle status and restrictions, validates documents at the source, confirms the appointment and triggers release — in seconds, no clipboard, no queue.
- Seconds
- per read and validation
- On arrival
- plate against restriction lists
- At source
- driver and vehicle documents validated
- Automatic
- gate release
Pipeline in production reading plates, vehicle and driver documents at gatehouses of distribution centers, plants and terminals — read, source validation and release triggered at the gate, with the yard measured as data.
Every day the queue at your gatehouse costs by the hour — and the clipboard validates nothing.
The queue that costs by the hour
Manual checking at the gate stalls arrivals, every hour of a stopped truck becomes demurrage and a missed SLA, and the gatehouse caps the throughput of the entire distribution center.
The fake document the eye misses
An expired or forged vehicle registration and an irregular driver license slip past a visual check; the vehicle that should never have entered becomes a security incident and liability.
The yard where nobody knows who is inside
Without a reliable entry record, the yard is opaque: no one knows who came in, when, where they are or for how long — and a flagged vehicle moves freely inside the perimeter.
Cost The math is direct: the cost of an hour of a stopped truck multiplied by the day's fleet; the gatehouse bottleneck capping the entire center's throughput; and the security event — a cloned or flagged vehicle inside the perimeter — whose cost is not measured in hours.
The gatehouse that reads, validates and decides — in seconds.
- 01
Read
LPR at the entrance reads the plate (Mercosur and prior standards); vehicle and driver documents read by camera or app, with data extraction.
- 02
Validate
Official sources in real time: vehicle status, restrictions and theft/robbery; authenticity, validity and category of documents at the source.
- 03
Decide
Appointment confirmed, RMS/Driver Score triggered, gate released for who should enter — or an alert raised before entry.
- 04
Measure
The yard as data: queues, dwell times and throughput measured — who entered, when, where they are and for how long.
The eye that reads, the brain that decides
A single read at the gate cross-references official sources and internal systems and returns a decision — release, review or alert — ready to automate access.
LPR — plate reading
Mercosur and prior standards, on entry
Vehicle document reading
Extraction and source validation
Driver license reading
Authenticity, validity and category
Theft, robbery and restrictions
Plate against lists on arrival
Yard management (YMS)
Queues, dwell times and throughput
Dock appointment
TMS check-in verification
Release pipeline
RMS and driver Driver Score
Decision engine
Release, review or alert by policy
Who decides with Kavuka Vehicle OCR
Distribution centers & Warehouses
The gatehouse as flow, not bottleneck: LPR and appointment releasing the gate for who should enter.
Plants & Mills
Vehicle access control with the plate checked against restrictions and the document validated at the source.
Dry ports, terminals & regulated yards
The vehicle volume only automation can handle, with the whole yard measured as data.
Logistics parks, malls & seasonal agribusiness
Standardized multi-tenant access and the harvest-season truck peak the clipboard cannot process.
Driver images and data handled with privacy from day one
Kavuka Vehicle OCR handles vehicle images and driver data with a documented purpose — security and access management — and a privacy-by-design approach that starts with deployment, not as a report at the end.
- Documented purpose: processing of images and data restricted to site security and access management.
- Configurable retention of images and reads, according to each operation's policy.
- Controlled access to reads and an audit trail of every release decision.
- Document validation against official or legally permitted sources; encryption in transit and at rest.
- Transparency in processing and privacy by design from deployment onward.
The gatehouse queue is gone: the gate opens by itself for whoever has an appointment and a clean plate. The truck stopped costing us while standing still.
We blocked a forged vehicle document on arrival — before, the eye would have let it through. The fake document became an alert before the gate.
Now the yard is data: I know who entered, when and how long they have been inside. Dwell time dropped and throughput rose.
Ready to see your gatehouse working without a clipboard?
In a simulation with your real flow you see the read, the source validation and automatic release running at your gatehouse.
- For businesses only. No purchase commitment.
- Data used solely for commercial contact.
- Enterprise leads answered within 1 business day.
What Vehicle OCR is and why reading alone is not enough
Vehicle OCR is the automatic reading of license plates (LPR — License Plate Recognition), vehicle documents (registration certificates) and driver licenses: computer vision applied to the physical flow of logistics. It is the gatehouse that recognizes the vehicle on arrival, the yard that knows who is inside and the document checked in seconds against official sources — no clipboard, no queue and without the manual review that cannot spot a forgery.
The Kavuka difference is what happens after the read. In most of the market, OCR is an isolated sensor: the plate read becomes a log, not a decision; document checking remains manual; and nothing talks to risk. LPR is mature technology, with dedicated cameras and high accuracy in controlled conditions, and yard management (YMS) and dock appointment exist as separate niches — but disconnected. That is the sector's structural weakness: the read triggers nothing.
In Kavuka Vehicle OCR, the read becomes a decision in a single movement. The plate read triggers the automatic query — vehicle status, restrictions, theft/robbery; the driver license is validated at the source — authenticity, points, category, validity; the vehicle document is checked against official bases; and together they become the pipeline trigger: the TMS appointment confirmed, the RMS release fired, the driver's Driver Score evaluated, the gate opened — or the alert raised before entry. OCR is the eye; the platform is the brain.
The result transforms the operation: the queue undone, the fake document blocked on arrival, the flagged vehicle turned into an alert before the gate, and the yard measured as data — queues, dwell times and throughput. The market lesson is to sell the flow, not the camera: hardware is a commodity, the decision is the product. In many cases we certify existing LPR cameras; where capture is insufficient, we specify the hardware. And the handling of images and driver data starts with a documented purpose, configurable retention and privacy by design — the gatehouse, at last, at the speed of the operation and within data-protection law.
What does Vehicle OCR read?
License plates (Mercosur and prior standards) via LPR, and documents: vehicle registration and driver license — with data extraction and validation of authenticity, validity and status at the source.
What happens after the read?
The intelligence. The plate is checked against status and restriction lists, documents are validated, the appointment is confirmed and the pipeline is triggered — RMS release, driver Driver Score, TMS check-in. The read becomes a decision.
Does it work with the cameras I already have?
In many cases yes — we certify existing LPR cameras; where capture is insufficient, we specify the hardware. The product is the flow, not the camera.
What about data protection for images and driver data?
Processing with a documented purpose (security and access management), configurable retention, controlled access and transparency — privacy by design starts with deployment, not at the end.
Does it detect a stolen or cloned vehicle?
The plate is checked against theft/robbery and restriction lists on arrival; discrepancies between plate, vehicle characteristics and documents raise an alert — the clone faces layers, not a tired eye.
How does Vehicle OCR integrate with my appointment system and my systems?
The read at the gate verifies the TMS dock appointment check-in and triggers the RMS release and the driver's Driver Score — the physical connected to the digital in a single movement, with no data re-entry.
What is the difference between Vehicle OCR and an ordinary LPR camera?
An ordinary LPR camera only reads the plate and produces a log. Kavuka Vehicle OCR turns the read into a decision: it checks restrictions, validates vehicle and driver documents at the source, confirms the appointment and triggers release or alert. The camera is the sensor; the product is the flow.
Let's talk
Your next high-impact decision starts with the right data.
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