01 / AquaSmart
SEA CAGE INTELLIGENCE
Turn movement into measurement.
Biomass workflowWeight distributionEdge AI
Explore AquaSmart
Artificial intelligence for aquaculture.
See every fish.
Measure what matters.
Field-ready vision systems that turn underwater footage and nursery workflows into clear, operational insight.
WEIGHT DISTRIBUTION
LIVE
INPUT
UNDERWATER FEED
MODE
EDGE INFERENCE
OUTPUT
WEIGHT DISTRIBUTION
COUNT
100
80
60
40
20
0
100
200
300
400
500
600
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WEIGHT (g)
01
SEA CAGESNon-invasive measurement
02
NURSERIESQuality inspection
03
EDGE INTELLIGENCEInsight where work happens
Two environments. One vision.
Intelligence across the
production journey.
Purpose-built systems for two different operational realities—measuring fish in open-water cages and inspecting juvenile quality inside existing nursery lines.
02 / AquaVision
NURSERY AUTOMATION
Make quality visible at line speed.
CountingClassificationSeparation
Explore AquaVision
AquaSmart
Measure the population
without interrupting it.
A submersible imaging system captures fish in their natural environment. Computer vision transforms individual measurements into actionable population-level insights that reduce manual sampling, improve feeding and harvest decisions, track growth more precisely, and increase production efficiency.
Discuss AquaSmart
OBSERVE
CAM
Capture fish in place
Underwater cameras record fish in operational cage conditions.
DETECT
CV
Find and track fish
Computer vision detects, segments, and tracks individual fish across the captured footage.
MEASURE
cm
Estimate size and weight
Calibrated measurements convert observed fish geometry into useful size and weight estimates.
AGGREGATE
DATA
Build the distribution
Individual estimates become population trends and production insight.
See what the system sees
From raw footage to
decision-ready data.
Drag the control to compare raw underwater footage with AquaSmart's AI vision. The analysis view is generated from calibrated field hardware and validated models.
AquaSmart Results
From individual fish to the population picture.
AquaSmart transforms individual fish measurements into a real weight distribution, giving producers a clearer view of population structure and growth.
REAL MEASUREMENT OUTPUT
See how the population is distributed.
Instead of relying on a single average weight, AquaSmart measures individual fish and builds a population-level weight distribution. This makes changes in size structure easier to identify across sampling periods.
01
Weight distribution
Understand the spread of fish sizes within the population.
02
Growth monitoring
Compare population structure across different observation periods.
03
Production decisions
Support feeding, grading, and harvest planning with measured data.
AquaVision
Inspection that fits the
workflow you already have.
A modular quality-control stage designed to sit after the existing grader— counting fish, inspecting physical quality, separating outcomes, and reporting each batch.
ILLUSTRATIVE PROCESS MODEL SYSTEM READY
INPUT EXISTING
GRADER
GRADER
›
AquaVision INSPECT
+ COUNT
+ COUNT
›
›
OUTPUT A HEALTHY FISH PASS
OUTPUT B DISEASE FISH FLAG
Input flow Healthy fish Disease fish Final mechanics subject to validated system design
Innovation Lab
Have a problem on the farm?
Bring it to us.
Not every aquaculture challenge has an off-the-shelf answer. If there is something you want to measure, monitor, automate, or improve, talk to us. We can explore the problem with you and turn it into a practical computer-vision or automation solution.
START WITH THE PROBLEM
Tell us what is
Tell us what is
not working.
A difficult measurement, a manual inspection, wasted feed, inconsistent grading, a hidden health issue, or a process you simply wish you could see better.
Discuss your challenge
We work around
the conditions you have.
Turbidity, motion, changing light, depth, biofouling, fish behaviour, hardware limitations, and the way your team actually works on site.
Turn the idea into
something measurable.
We combine imaging, sensors, machine learning, and automation to develop focused solutions and test whether they deliver useful results in the real aquaculture workflow.
Knowledge hub
Signals from the field.
What makes underwater biomass estimation difficult?
A practical map of visibility, calibration, fish orientation, sampling, and ground truth.
Read the briefing →Why a weight distribution tells a better story.
Looking beyond a single average to understand population structure and change.
Read the briefing →Where visual quality control belongs in a nursery line.
Start with the production flow, then decide where imaging and separation create value.
Read the briefing →About Abzinnova
Engineering clarity
beneath the surface.
Abzinnova develops computer-vision and automation systems for aquaculture—combining field hardware, edge AI, biological measurement, and production workflows.
01
Field reality first
Technology is designed around real farms, real water, real fish, and the constraints operators actually face.
02
Evidence-led claims
Measurements, models, and recommendations are grounded in observable data rather than assumptions.
03
Human-useful output
Complex sensing and AI become information that helps people make better decisions in the field.
“We believe aquaculture improves when uncertainty becomes measurable, and measurements become decisions.
Partners
Start a conversation
Let’s make the invisible
operational.
Tell us about your farm, nursery, validation need, or custom computer-vision challenge. We will route the conversation to the right technical context.
