Fish and Seafood Processing Inspection AI
Find pin bones, gaping, blood spots, and parasites, and grade color, size, and trim on every fillet and shrimp at line speed.
Seafood Processing Inspection AI for the Toughest Fillet, Trim, and Packing Lines
Deploy Anywhere, Run Everywhere
Run seafood processing inspection on line cameras over conveyors, trim tables, candling tables, and graders, on the edge at the line, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every seafood plant team can adopt, from QA technicians and line supervisors to plant managers and food safety leads, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with an annotated image behind every defect, grade, and rejected piece.
- Pin Bones & Bone Fragments
- Gaping, Bruising & Blood Spots
- Parasites & Melanin Spots
- Fillet Color & Trim Grading
- Size, Species & Count Sorting
- Shell Fragments & Shrimp Peel Quality
“Since moving the majority of our vision models to Roboflow, we’ve increased the cadence of rolling out new features. We spin up the platform, train overnight, and the next morning it works”
Rian McDonnell
Founder and CEO, FloVision
Talk to a Vision AI engineer who's shipped in seafood and food processing.
Bring us your toughest seafood inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your species, lines, grading specs, and HACCP plan
- A live demo on your own fillet, trim table, or candling table images
- Deployment options: edge, on-prem, cloud, or VPC
- ROI modeling against trimmer hours, downgrades, customer claims, and yield loss
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Inspect Every Fillet, from the Trim Table to the Packed Case
Add an automated QA layer to every seafood line with Roboflow vision AI for fish and seafood processing inspection. Built for salmon, whitefish, and shellfish processors where every fillet is hand-checked on a trim or candling table, buyers grade on color and appearance, and one missed bone or parasite can turn into a complaint, a claim, or a lost account.
Find the defects:
- Detect pin bones, gaping, bruising, blood spots, and melanin spots on fillets, with a model trained on images from your own line.
- Flag parasites on candling tables, and send flagged fillets back for a second look before they reach the packer.
- Catch shell fragments, skin and scale residue, and foreign material such as glove pieces and plastic on the belt.
Grade every piece:
- Score fillet color against the color card your buyers use, and check trim, fat line, and belly flap against each customer spec.
- Classify species, measure size, and count whole fish, portions, and shrimp, so every case is sorted into the right grade.
- Check shrimp for complete peeling and deveining, broken pieces, and black spot.
Run the line:
- Trigger rejects and diverts at line speed, so a defective fillet leaves the belt before it reaches the packer.
- Track defect rates by lot, shift, supplier, and harvest, and send the numbers back upstream to the farm or the vessel.
- Verify pack fill, seals, and labels with OCR, and connect plant data to aquaculture monitoring at the farm.
Bring intelligence to every seafood line today. Ship every case at the grade your buyer ordered, with an image behind every piece.
Frequently asked questions
What is fish and seafood processing inspection with Vision AI?
Fish and seafood processing inspection with Vision AI runs a trained computer vision model on line camera images to find bones, gaping, blood spots, parasites, and foreign material, and to grade color, size, and trim on every piece. Every decision comes back with an annotated image.
Which species and products does it work on?
Salmon, trout, whitefish such as cod and pollock, tuna, and shellfish such as shrimp, as whole fish, fillets, portions, or IQF product. Models are trained on images from your own line, so they learn your species, cuts, and customer specs.
Can it grade fillet color the way our buyers do?
Yes. A classification model is trained on fillets your QA team has already scored against your color card, so it learns your grading and applies it the same way on every shift.
Can it integrate with our graders, rejecters, and plant systems?
Yes. Roboflow sends reject signals to PLCs over MQTT, OPC-UA, and other standard protocols, and sends defect data and images over a REST API or webhooks to QA, traceability, and ERP systems.