If you are a water utility spending heavily on manual sampling crews and lab analysis — INTCATCH developed 10 autonomous sensor platforms and 2 radio-controlled boats that move the lab to the water. Instead of sending technicians to collect bottles and waiting days for results, these platforms deliver real-time quality data to a cloud dashboard. The system was designed so non-experts can transport, launch, and maintain the boats with photo and video guides.
Autonomous Sensor Boats That Monitor River and Lake Water Quality in Real Time
Imagine sending a small robot boat across a river that instantly tells you how clean the water is — no lab, no waiting days for results. That's what INTCATCH built: autonomous floating platforms loaded with sensors that measure water quality on the spot and beam the data to the cloud. Think of it like a Roomba for rivers, except instead of vacuuming your floor, it maps pollution in real time. The system connects to a decision-support dashboard so water managers can act immediately instead of weeks later.
What needed solving
Traditional water quality monitoring is slow, expensive, and labor-intensive. Companies and utilities send technicians to collect water samples by hand, ship them to laboratories, and wait days or weeks for results — by which time a pollution event may have already caused damage. This reactive approach means contamination is discovered after the fact, not prevented in real time.
What was built
The project built 10 autonomous sensor platforms and 2 radio-controlled boats equipped with water quality sensors, connected to a cloud-based information system with decision support. User documentation with photos and 3-5 minute video tutorials enables non-experts to operate the equipment. A franchise business model was developed for commercial rollout.
Who needs this
Who can put this to work
If you are an environmental consultancy hired to assess water body status for regulatory compliance — INTCATCH built sensor-equipped autonomous boats that can survey catchments faster than traditional grab-sampling. The cloud-connected information system lets you generate reports from real-time data across multiple sites. With 20 consortium partners across 7 countries having tested the technology, the approach has been validated in diverse European water bodies.
If you are a food processor or agricultural operation that must prove your runoff is not degrading nearby rivers — INTCATCH developed run-off treatment technologies alongside its monitoring boats. The autonomous platforms can patrol receiving waters around your discharge points, giving you continuous evidence of compliance rather than quarterly spot checks. The franchise business model means you could license the monitoring service without buying the hardware outright.
Quick answers
What does it cost to deploy autonomous water monitoring compared to traditional sampling?
The project objective specifically targets replacing "inefficient, time dependent, costly and labour-intensive routine sampling" — but exact per-unit costs are not published in the available data. The franchise business model suggests a service-based pricing approach rather than outright hardware purchase. Contact the consortium for current pricing.
Can these boats scale to monitor large river systems or entire catchments?
Yes — the project engineered 10 autonomous platforms and 2 radio-controlled boats, designed for deployment across diverse catchment types. The cloud-based information system aggregates data from multiple platforms simultaneously. Testing across 7 countries with varied water bodies demonstrates scalability across different environments.
Who owns the IP and can I license this technology?
IP is distributed among 20 consortium partners including 8 industry partners and 6 SMEs. The project explicitly developed a franchise business model for commercialization, suggesting licensing pathways exist. Brunel University London coordinated the project and would be the starting point for licensing discussions.
Does this meet EU Water Framework Directive monitoring requirements?
INTCATCH was designed to complement routine monitoring required for baseline datasets under EU regulations, while enabling cost-effective impact and management investigations. The system targets water quality parameters relevant to achieving "good quality water bodies" as required by EU directives. It was funded under the WATER-1b-2015 topic, directly aligned with EU water policy goals.
How long does it take to train staff to operate the boats?
The deliverable documentation includes procedures for transporting, starting, charging, and maintaining the platforms, specifically designed for use by non-experts. Photo guides and 3-5 minute video tutorials were produced. Based on available project data, the system was engineered for ease of use by community groups and NGOs, not just technical specialists.
What exactly do the sensors measure?
The platforms carry a range of sensors identified during the project's sensor evaluation work, connected to a cloud-based information system with decision support. DNA test kits for biological monitoring are also part of the toolkit. Specific parameter lists would need to be obtained from the consortium's technical deliverables.
Is the project still active and is the technology available now?
The project closed in January 2020 after a 3.5-year run with EUR 7,570,335 in EU funding. The technology reached demonstration stage with physical platforms built and tested. Current commercial availability should be confirmed with the consortium partners, particularly the 8 industry members.
Who built it
The INTCATCH consortium is notably strong for commercialization: 20 partners from 7 countries with a 40% industry ratio (8 industry partners, 6 of them SMEs). This mix of 6 universities providing scientific depth, 3 research organizations, and 8 industry players who need to make the technology work commercially is well-balanced. The SME presence is particularly encouraging — these are companies with skin in the game who need a return on their participation. Brunel University London coordinates, bringing UK water management expertise. The geographic spread across AT, DE, EL, ES, IT, NO, and UK means the technology has been exposed to diverse regulatory environments and water body types, which strengthens the case for broader European deployment.
- BRUNEL UNIVERSITY LONDONCoordinator · UK
- UNIVERSITA DEGLI STUDI DI VERONAparticipant · IT
- ENVIRONMENT AGENCYparticipant · UK
- PERSONAL GENOMICS SRLparticipant · IT
- FUNDACIO UNIVERSITARIA BALMESparticipant · ES
- SALSNES FILTER ASparticipant · NO
- ETHNICON METSOVION POLYTECHNIONparticipant · EL
- FUNDACIO INSTITUT CATALA DE NANOCIENCIA I NANOTECNOLOGIAparticipant · ES
- ISTITUTO SUPERIORE DI SANITAparticipant · IT
- GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTSparticipant · DE
- TECHNITAL SPAparticipant · IT
- UNIVERSITAET FUER BODENKULTUR WIENparticipant · AT
- THAMES21 LIMITEDparticipant · UK
- ETAIREIA YDREYSEOS KAI APOCHETEFSEOS PROTEYOYSIS ANONIMI ETAIREIAparticipant · EL
Brunel University London (UK) — use SciTransfer's coordinator lookup to find the project lead's direct contact
Talk to the team behind this work.
Want to explore autonomous water monitoring for your operations? SciTransfer can connect you directly with the INTCATCH team and help evaluate fit for your specific use case.