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Data science consultancy in Rotterdam

We start with what a camera or sensor needs to see on site. At Floating Farm, we installed the cameras ourselves.

We used cameras to capture the feeding process at Floating Farm

As part of our Data for Good initiative, we built an end-to-end solution for the floating farm in Rotterdam, from installing the cameras to implementing a computer vision model. The aim was to gain insight into the feeding process and reduce feed waste.

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Can a model do anything with camera footage and measurement series that no one reviews?

In a hall or at a site along the River Meuse, cameras and sensors are already in place, but the footage is only reviewed after an incident. A model that extracts counts, anomalies or signs of wear from the data turns it into a measurement series that a planner can use to make decisions.

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Models using camera and sensor data that keep working outside the lab

Discuss your images

Cameras on site

If something isn’t being measured, we install cameras ourselves. That’s what we did at Floating Farm to gain insight into the feeding process.

Sensors already collecting data

Sound, vibration or temperature can indicate wear. For ProRail, we applied machine learning to fibre-optic cables that measure sound waves.

Tested in poor lighting

We test for each situation: day and night, rain, backlighting over the water and a camera positioned differently after maintenance.

Results where you already work

The count or alert appears in the system the planner, inspector or operator already uses.

First we visit the facility or the quayside, then we turn to the model

  1. Decision and measurement point

    Which decision needs to improve, what does the model need to observe to support it, and where is or will the camera or sensor be installed?

  2. Images in all weather conditions

    We collect and label images or measurement series from daytime, night-time and bad weather, with a separate test set.

  3. Running and monitoring

    The model runs at the camera or in the cloud. We monitor the results and retrain it when the environment changes.

Do our cameras and sensors capture enough data for a model?

Talk it through with us

A good fit if

You have cameras, drones or sensors at a site, in a hall or on board, and a recurring count, inspection or check that is currently done by eye.

Not a good fit if

A simple measurement, such as a weighbridge or photoelectric sensor, would do the job, or what you’re looking for occurs so rarely that there are hardly any images of it. If so, we’ll tell you.

What determines the scope

The number of cameras, sensors and locations; whether footage already exists or cameras need to be installed first; how much labelling is needed; whether it needs to work in real time; and who manages it after launch.

Can we use that footage?

Security cameras were installed for a different purpose. If staff or visitors appear in the footage, your privacy officer or legal counsel decides whether it can be used for this new purpose. We design the solution to minimise the personal data generated.

Fixed camera, drone or sensor: which should you use to measure what you need to know?

Fixed camera

Choose this if you need to count or inspect something repeatedly in the same place, such as a conveyor belt, a gate or a feeding barrier. Read more about computer vision.

Drone

Choose this if the object is large or hard to reach, such as a crane, a roof or a stockpile. In the port of Rotterdam, you first need to apply for a flight area.

Sensor

Choose this if vibration, sound, temperature or weight can give you a direct measurement. Our advice: start there if you can, because a sensor data series is easier to manage than an image model.

Data for Good took us to a floating farm in Rotterdam

Since 2016, Data Science Lab has worked from Amsterdam on everything from data platforms to AI applications and their management. We’re a Databricks and Microsoft partner. Through our Data for Good initiative, we contributed to Floating Farm.

Book an introductory meeting

A camera or sensor and a question are enough for an initial conversation

Stef Stoelwinder

Stef Stoelwinder

Business Development

Stef is your first point of contact. In our initial conversation, we’ll discuss the location, the images or measurement series, and the decision that needs to improve.

Which images or measurement series would you like us to analyse?

Describe the location, the cameras or sensors, and what you want to find out. We’ll reply by email or arrange an initial conversation.

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Let us know how we can help you.

Frequently asked questions

It builds models that extract from images or measurements what you currently check by eye or record by hand. For images, that means classification (what is in the image), detection (where each object is) or segmentation (which pixels belong to it). For sensors, it means identifying anomalies and trends in time series of vibration, sound or temperature.

These models are part of the AI applications we build and then manage.

According to its website, the Floating Farm has been operating in Rotterdam since May 2019 as the world’s first floating farm. The cows’ feed consists largely of by-products from the city, such as spent grain from Rotterdam breweries.

For the Floating Farm, we installed the cameras ourselves and implemented a computer vision model using image classification in Python to make the feeding process easier to monitor and reduce feed waste.

Not automatically. According to the Autoriteit Persoonsgegevens, camera surveillance needs a legal basis, must be necessary, and any analysis functions not needed for that purpose must be switched off. Counting or inspection is a new purpose. If a camera is aimed at employees, the works council must give its prior consent.

At GVB, footage from the vehicles’ security cameras is not viewed or shared; it is only analysed by the model. Your privacy officer or legal adviser must determine whether your proposed use is permitted.

According to Havenbedrijf Rotterdam, drones are already widely used in the port: for surveillance, measuring dry-bulk stockpiles and traffic patterns at terminals, and inspecting cranes and wind turbines. You apply to Havenbedrijf Rotterdam for a flight area.

A model can extract from the footage what an inspector currently has to look for, such as a volume or an anomaly at a fixed point. Drones can easily track people, the AP notes; take that into account when planning the flight route.

The Rotterdam Makers District comprises RDM Rotterdam and Merwe-Vierhavens (M4H) and focuses on new technology based on digitalisation, robotics and additive manufacturing. RDM is being developed by Havenbedrijf Rotterdam, Hogeschool Rotterdam and Techniek College Rotterdam.

For a manufacturing company there, a camera above the production line or a sensor on a machine is the usual starting point. We do not have a case study of our own in the Makers District; the Floating Farm is our Rotterdam example.

Either is possible. On a device near the camera, known as edge computing, the footage stays on site and you send on only counts or alerts. That works well on a quay or in a building with a weak connection, or when a quick response is needed.

In the cloud, you have more computing power and can deploy and monitor models centrally, for example on Databricks or Microsoft Fabric. Often, the solution combines both.

Sometimes. Annex III covers AI used as a safety component in the management and operation of critical digital infrastructure, road traffic, and the supply of water, gas, heating or electricity. According to the European Commission, those rules apply from 2 December 2027. Emotion recognition in the workplace is prohibited, except for medical or safety reasons.

Your legal adviser or compliance team must assess whether your application falls within its scope; we can help you take stock. See AI Act.

When a simple measurement or better record-keeping in your existing system already solves the problem, or when there is no decision you need to improve yet. If you first want to find out where AI could benefit your organisation, start with AI consultant Rotterdam.

If you need an AI application beyond images and sensors that we can build and manage, see AI consultancy Rotterdam.