Inocubot 2 (RD015)


This project aims to expand the utility of 'Inocubot 2', by developing new image processing algorithms for new species and uniquely individual End of Arm Tools (EoAT’s) so the Inocubot 2 can “grip” different species when administering vaccinations.

Funding Amount:


Duration of Project:

18 Months

Close up image of bass on ice

Project Summary:

Since 2012, Aqualife has been developing innovative fish handling methodologies using modern robotics platforms. One of the outcomes of this work is a ready to launch machine for vaccinating fish called the “Inocubot 2”, by Q4 2021, which is set to transform the global fish farming industry. This new technology will have several benefits to the industry, since it will be able to vaccinate fish at sizes below 20 grams, allowing producers to grow their fish out of hatchery’s far sooner, increasing productivity. Since this solution will be a mobile platform, we will provide flexibility in automated vaccination to smaller fish farms who typically cannot afford to invest in large scale immobile systems currently on the market. 

Implementing Artificial Intelligence and Deep Learning algorithms, we can address potential quality benefits to be had in increasing vaccination accuracy and improved grading. The robotic platform remains the same regardless of species and number of vaccines. Future development is in new image processing algorithms for new species and uniquely individual End of Arm Tools (EoAT’s) to “grip” different species. The EoAT will be designed to achieve the least handling possible of each fish. This will improve fish welfare, meaning growth performance will be more efficient post vaccination. The EoAT combined with the vision system will vaccinate fish in the same place each time, meaning we can deliver vaccine precisely, ensuring less waste at fillet processing from bad vaccination delivery, ultimately having a positive economic effect for the fish farmer. 

STATUS: Ongoing

Project Lead

Aqualife Services Ltd.