CageEye er i prosess for å levere søknad til EIC Accelerator. Se også vedlegg Foreløpig kort beskrivelse av prosjektet: CageEye utilises AI & Neural networking in conjunction with modern sensing & systems engineering to improve sustainability in the AquaCulture Industry (see Fig 1) . CageEye is developing advanced monitoring and feeding control systems, using echo-acoustic sensor equipment and machine learning to translate fish behavior into knowledge. Or as we like to say: we “speak Fish”. Speaking fish means we can better match the feeding to the fish’s natural behavior and appetite than ever before.We monitor fish behaviour by utilisation of echo acoustics, Echo acoustics were used as a research tool since the 90s in the Aquaculture industry . CageEye formed in 2010 to commercially utilise this academic research and have since developed many iterations of hardware and software. The company has gone through fast growth ( 4 to 26 FTEs in 14months) to support its ever growing customer base and is now challenged with the design and manufacture of solutions that are globally scalable and commercially relisable across many species. Our goal is also to ensure that the technologies we are using not only help with the future challenges of providing highly protein rich food sources for the increasing population but also in a manner that improves the health and welfare of the fish and with minimal impact on the environment through energy efficient technology. We use advancements in modern technology to understand and predict the optimum farming methods for Aquaculture , this includes precision sensing in the cage , to edge processing to Cloud then application of AI to improve the health, wellbeing and efficiency . As we gather more data the more insights and advancements we can make in Aquaculture by precision processing of analytics and biomass modelling.
Project leader: Bendik Søvegjarto
Institution: BLUEGROVE AS