Pallet position
It sees whether a pallet is crooked, outside its slot or badly supported, before someone moves it with the forklift.
Warehouse and transport · Tailored
Computer vision in warehousing and transport: pallets, trucks and the loading bay under control
Cameras that watch the warehouse and loading bay and alert when a pallet is badly placed, a load is over height, a truck has been waiting or space runs out. It watches things, not who moves them.
Pallet 14, aisle BLoad too high
Dock 2Lorry waiting
Aisle CFree slots
Alert to the warehouse manager: the load on pallet 14 exceeds the permitted height.
Illustrative example
What it detects
What the cameras see in the warehouse
Each camera watches one area: a dock, an aisle, a rack, the entrance door.
Load height
It alerts when a pallet exceeds the height you set, for stability or because it does not fit in the slot.
Lorries and dock
It detects when a lorry arrives, how long it has been at the dock and which docks are free.
Free slots
It counts free slots by area and aisle, without having to walk the warehouse or rely on what has been written down.
Damaged pallet at goods-in
It takes a photo of the pallet when it is received, with time and delivery note, so you have proof if there is a claim later.
Labels and delivery notes at the dock
It reads the label or delivery note of what arrives and compares it with what is expected, to alert if something does not match.
How the alert arrives
From the data to the person who can act
An alert that does not reach whoever can fix it is useless. That is why we design it backwards from the outcome.
- The camera watches the area
One camera per dock, aisle or entrance. We map out with you what a slot is, what an allowed height is and what a free dock is.
- Compares with what is expected
It compares what it sees with the rule we set: maximum height, assigned slot, expected delivery note.
- Alerts the person who can resolve it
It alerts the warehouse manager or the dock supervisor. It is recorded with the time and area, with figures and photos of pallets, not people.
No smoke and mirrors
What works today and what is custom
Available today
- Transport rates by pallet type, with surcharges, your table imported exactly as it is and each customer's terms, dated.
- Rate offers that the customer signs and that apply their terms when signed.
What already works is listed in transport rates.
Custom: we set it up and test it at your plant
- Real-time cameras on pallets, load height, lorries, dock and slots. Today the product does not analyse video.
- Goods-in photos and reading labels and delivery notes.
- GPU server at your plant or in Europe.
Before installing a camera
Cameras at your plant, with clear rules
A camera at work comes with rules. We explain how we approach it and what you need to do, so you can go through it with your adviser from the start.
How we approach it
- It detects the station, the conveyor or the area, not the person.
- No facial recognition: the system does not know who anyone is.
- No ranking or scoring of workers, and no comparing them with each other.
- No inferring emotions: at work this is a practice prohibited by Article 5 of Regulation (EU) 2024/1689, except for medical or safety reasons.
- No audio and no cameras in changing rooms, toilets or canteens.
- Images are processed on your own server, at your plant or in Europe, and are stored only briefly. What is kept are alerts and numbers.
What's down to you, and we'll review it with you
- Inform staff beforehand, expressly, clearly and concisely, and their representatives if there are any (art. 89 of Organic Law 3/2018).
- If there is a works council, its prior report on work organisation and control systems and the information on algorithms or AI systems that affect working conditions (art. 64 of the Workers' Statute).
- Carry out the impact assessment on data protection where applicable (art. 35 of the GDPR).
- Careful with the purpose: an AI system for monitoring and evaluating people's performance and behaviour at work is considered high-risk (Annex III of the Regulation). That's why we don't set it up that way.
LOPDGDD art. 89ET art. 20.3 and 64GDPR art. 35Regulation (EU) 2024/1689 art. 5 and Annex III
We review it with you and with your employment and data protection adviser. This is not legal advice or a guarantee of compliance: every plant is different. We go into more detail in Cameras and AI in the factory: what the law in Spain allows.
How we test it
One line first, then you decide
We pick a bay or an area
The place where most time or most trouble is lost: the loading bay, a problematic aisle, the entrance.
Camera and rules in that area
We install the camera and set the rules: height, empty slots, waiting time. We test it with your real activity.
We fine-tune and expand
We remove false alarms and roll the system out to the other bays and aisles if it works.
Frequently asked questions
What we usually get asked
Can it be used to count pallets?
Yes: they can be counted by shape and by position. If you want to know which pallet is which, its label is read.
Does it work in the yard, in sun or rain?
With outdoor-ready cameras, yes. Sun, rain and night are tested in the pilot, because they change what the camera sees.
Does it connect to my warehouse system?
We can connect it. It depends on whether your system allows it, and we'll look at that on the visit.
Does it monitor forklift drivers?
No. It looks at pallets, empty slots, lorries and loading bays. It doesn't identify the driver, score anyone or compare one person with another.
Keep reading
AI for factories
All the use cases
The twenty-odd cases, by area of the plant and with their label.
ReadModule
Transport rates
The price per type of pallet, with your rate table and each customer's terms.
ReadBlog
Cameras and AI in the factory: what the law in Spain allows
What the law says about cameras at work and about the AI that analyses them.
ReadLow budget, no commitment
Tell us about your line and we'll tell you what we'd set up
A short video call to understand what stops you, where and why. Then a written proposal with what we would do, where the AI would run and how much it would cost. No commitment.