lower
mortality rate
40%
Improved farming performance
15%
Total
EBIT increase
27%
Less environmental costs
10%
Ved å integrere avansert videofangstteknologi og
AI-drevet dyp læring
leverer V-Tag overvåkning i sanntid
av fisk i kulturtanker:
uten stress;
ved å kombinere avbildning og AI-analyser;
for å skille fiskene fra hverandre;
basert på forhåndsinnstilte kriterier.
I utgangspunktet utviklet for landbasert oppdrett av atlanterhavslaks, men med hensikt å utvide
til ørret og andre fiskearter.
Fish gets into vision channel
Imaging of both sides of the fish
Analysis of maturity, condition, health
Diversion based on preset critera
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Developed initially for Atlantic Salmon farming, with the purpose to expand to trout and other fish species.
Developed initially for Atlantic Salmon farming, with the purpose to expand to trout and other fish species.
Integrating advanced video capturing technology and
AI-driven deep learning
V-Tag delivers real-time in-situ monitoring
of fish in culture tanks:
without stress;
combining imaging and AI-analyses;
to separate the fish;
based on preset criteria.
Developed initially for land-based Atlantic Salmon farming, with the purpose to expand to trout and other fish species.
Fish gets into vision channel
Imaging of both sides of the fish
Analysis of maturity, condition, health
Diversion based on preset critera
Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.
Developed initially for Atlantic Salmon farming, with the purpose to expand to trout and other fish species.
Developed initially for Atlantic Salmon farming, with the purpose to expand to trout and other fish species.
Our AI-driven tagging device, functions in 3 stages:
The V-Tag
approach
V-Tag løsningen
For å realisere mer effektivt og forutsigbart landbasert fiskeoppdrett,
fungerer vår AI-drevne merkeenhet i fire stadier.
1
Fish swims into
Vision channel
.png)
Individual recognition of each fish allowing for specimen tracebility and follow-up in time.
2
Images of 2 sides
of the fish
.png)
Length measurement (> 98,2% accuracy) and weight estimation.
Detection of early maturation, determination of sex.
3
AI-analysis of fish's
condition and health
.png)
Health monitoring and early detection (based on visible aspects) and treatment of disease.
Elimination of deformation and injury/ stress reduction.
4
Fish diversion based
on preset critera
Combines big data and operational data like water quality, temperature and nutrition.
Allowing predictive production management.
V-Tag determines when fish are ready for slaughter.
Fisk svømmer inn
i visjonskanal
Individuell gjenkjenning av hver fisk muliggjør sporbarhet og oppfølging av prøver over tid.
Bilder av 2 sider
av fisken
.png)
Lengdemåling (> 98,2% nøyaktighet) og vektanslag.
Oppdage tidlig modning, bestemme kjønn.
AI-analyse av fiskens
tilstand og helse
Helseovervåking og tidlig påvisning (basert på synlige aspekter) og behandling av sykdom.
Eliminering av deformasjon og skade/ stressreduksjon.
Fiskavledning basert
på forhåndsinnstilte kriterier
Kombinerer big data og driftsdata som
vannkvalitet, temperatur og ernæring.
Muliggjør prediktiv produksjonsstyring.
V-Tag avgjør når fisken er klar for slakting.
IDENTIFY
-
Individual recognition of each fish allowing for specimen tracebility and follow-up in time.
-
Length measurement (> 98,2% accuracy) and weight estimation.
ANALYZE
-
Detection of early maturation, determination of sex.
-
Health monitoring and early detection (based on visible aspects) and treatment of disease.
-
Elimination of deformation and injury/ stress reduction.