Acronym NA
Category
Aquaculture
Title Development of an autonomous inspection solution for farmed nuts Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Mikkel Pedersen Coordinator email mikkel@nms.as
Coordinator institution
NA
Institutions involved
NA - Ballangen Sjøfarm AS (Norway) ,
NA - Cermaq Norway AS (Norway) ,
NA - Gratanglaks AS
(Norway) ,
NA - Probotic AS
(Norway) ,
NA - Salaks AS (Norway) ,
Start year 2021 End year 2023 Funding (€) € 526,700 Website https://www.fhf.no/prosjekter/prosjektbasen/901678/ Summary NOR Maritime Service AS (NMS) has since 2017 carried out inspections with ROVs ( remotely operated underwater vehicles ) of nets for Ballangen Sjøfarm AS, which is a farming company with locations in Evenes and Narvik municipalities. The company annually produces approx. 10,000 tonnes of salmon through joint operation with Cermaq Norway. Ballangen Sjøfarm has so far not had any escapes from its facilities. This project is considered a direct contribution to maintaining the necessary emphasis on sustainable operations and preventive measures against fish escapes.
Probotic AS is a technology company that develops an autonomous cleaning drone for use in breeding cages. The drone must operate completely autonomously, without the need for manual supervision or cable/winch. By combining NMS's supplier experience and access to extensive data material, with the autonomy and drone expertise of Probotic, as well as valuable test facilities at Ballangen Sjøfarm, it is believed that the project is very well rigged and has good prerequisites for contributing to solving one of the aquaculture industry's major challenges – automated monitoring and inspection of grooves.
The project will contribute to technology development and innovation around a topic that is very important for the entire industry.
Main objective: To develop a solution that can autonomously inspect and detect wear and access to holes in the groove.
Sub-goal:
1. To carry out the collection of data sets that lay the foundation for the various failure modes that you want to be able to report on.
2. To train neural networks adapted to Jetson Zavier.
3. To develop a method for data collection (distance, light and camera sensor).
4. To develop automated analysis and detection of deviations.
5. To carry out a successful test of the system with video scanning and report generation, where the result is verified against manual control.
6. To conduct successful field test with automated inspection and reporting.
7. To organize a webinar/seminar to present project results.
Keywords
Escapes;
Fish;
Open sea aquaculture;
Prototype;
Cage aquaculture;
Marine Region
41
Norwegian Sea (27.IIa)
1
Marine Region Map
