You don't build a food vision QC system anymore. You order one. iFactory ships a fully configured AI server with cameras, lighting, NVIDIA Jetson edge inference, an H200 plant node, a Vision Transformer + CNN ensemble pre-trained on your defect classes, and a plant copilot LLM tuned to your line. Power and internet are the only things you provide. Our network engineers fly in to handle cabling, switches, PLC integration, MES hand-off, and operator training. 6 to 12 weeks from PO to live, anywhere in the US or globally. One-time CapEx — no recurring license fees, no per-inference billing, no kill switch. You own the hardware, the weights, the data. To scope your line, get a turnkey quote — fixed price back within 5 business days.
Upcoming iFactory AI Live Webinar:
Food Vision QC at Line Speed — On-Premise, Pre-Trained, Owned by You
A pre-built, pre-configured AI server with NVIDIA Jetson + H200 silicon, food defect models pre-trained on produce / bakery / protein / beverage, and a plant copilot LLM tuned to your line — shipped to your plant, deployed by our engineers, owned by you. No cloud. No subscription. No data ever leaves your fence.
Open the Crate. Plug It In. Run AI Quality Control.
Every iFactory food vision server is built, burned-in, and tested at our facility before it ever touches your floor. Hardware, software, deployment, and training are all in one fixed price. Send us your line list — we come back with a written proposal in 5 business days.
2–8 IP69K stainless cameras per inspection point + structured LED lighting calibrated for food surface reflectance. Washdown-rated.
Sub-100ms inference at the line. Triggers reject mechanism via PLC. IP54 cabinet. Runs offline if uplink drops.
Vision Transformer + CNN ensemble. Drift detection, retraining in < 48 hrs, hosts the plant copilot LLM on-site.
50+ defect classes ready out of the box per food category. Re-trains on your specific defects from 200–500 sample images.
Our engineers handle cabling, switches, camera mounting, lighting calibration, PLC/SCADA, and MES connector configuration.
2 days operator training, audit pack walkthrough for QA team, 24×7 remote monitoring & model retraining for the first year.
All You Provide. Seriously.
Most "AI vision" projects stall because the customer is expected to do the hard parts — line surveys, network segmentation, PLC integration, washdown-grade enclosures. iFactory inverts that. Talk to deployment support if you want a remote site walkthrough before quoting.
- Power — 3-phase, 16–32 A circuit at the install location
- Internet — single uplink for remote support & model updates (firewalled, audit-logged)
- Server hardware build, burn-in, ship, install
- Network switch & firewall configuration
- Cabling — fiber backbone, copper to lines, Jetson cabinet placement
- Camera mounting, lighting calibration, washdown enclosures
- PLC / SCADA integration (Siemens, Rockwell, Allen-Bradley)
- MES, ERP, traceability platform connectors
- Defect model pre-training on your samples
- Plant copilot LLM tuned to your products & SOPs
- Operator training & go-live support
Models That Already Speak Your Product
The defect models ship pre-trained on the most common classes per food category and re-train on your specific defects in under 48 hours. Need a class that isn't here? Send a sample to support — most additions take 2–3 days.
- Bruising & mechanical damage
- Mold and surface decay
- Shape and size deviation
- Color anomalies / ripeness drift
- Foreign material on surface
- Loaf height & bun symmetry variance
- Crust spread, rise, color drift
- Surface cracks, blisters, voids
- Decoration / topping placement
- Package seal alignment
- Bone fragment detection (NIR / X-ray)
- Fat distribution & trim deviation
- Color / spoilage indicators
- Portion weight + visual fit
- Vacuum packaging seal failure
- Fill level deviation
- Cap seal & torque verification
- Label placement & rotation
- Foreign particles in transparent containers
- Allergen declaration completeness
Talk to Your Line. Get Answers. Get Actions.
The plant copilot is an LLM running on your on-site H200 — not in the cloud. It answers QA questions in plain English, queries the vision system's defect log, and takes actions inside MES, ERP, and your maintenance system with operator approval.
Same conversation, no copilot: 4 dashboard tabs, 2 phone calls, an MES login, a manual lot freeze, and a 45-minute end-of-shift write-up. The LLM lives on-site — every byte stays inside your network. Book a working session to see this run against your historical defect data.
The Accuracy Gap That Actually Pays Back
"99%" isn't a marketing number — it's a specific operating point: recall above 99% on the defect classes you care about, false reject rate kept below the threshold your line economics tolerate. Here's how the four food categories typically benchmark after the first week of production tuning.
Numbers reflect post-tuning steady state on typical client deployments. The first week is shadow-mode: AI runs alongside manual QC, edge cases get resolved before full handover. Schedule a benchmark on your defect set to see what's realistic for your specific lines.
Where the Money Comes From
Vision QC pays back through five distinct cost lines — not just one. Most discrete food plants we deploy in see net positive within 8–14 months, with larger protein and beverage lines clustering near the lower end.
99% catch rate vs 85% means 14× fewer escapes per million units. Less rework, fewer giveaway downgrades, less raw material wasted.
Per-unit imaging plus lot-level trace shrinks recall scope dramatically. 70–85% drop in customer complaints typical within the first quarter.
Inspectors move from "watch every unit" to exception handling and root cause work. Same headcount, far higher value per hour.
No more sampling pauses or inspector cycle time. Steady-state throughput rises 4–9% on typical bakery and beverage installs.
Every unit imaged, every reject logged, every lot trace-ready — KDE / CTE capture in MES, audit packs in minutes. Talk to support about your audit needs.
From Purchase Order to Live in Production
A typical food vision deployment is in production within 6–12 weeks of PO — anywhere in the US, EU, India, LATAM, or APAC. Hardware ships pre-configured, our engineers handle the floor work, you provide power and internet.
Remote walkthrough. Defect class list. Camera placement plan. Send 200–500 sample images for model pre-training.
Hardware racked and tested. Models pre-trained on your defect samples. Plant copilot tuned to your SKUs and SOPs. Crate ships.
Our engineers fly in. Cameras, lighting, Jetson cabinets, MES connectors, PLC integration. Network engineers handle switching and zoning.
One week shadow against manual QC. Tune false reject rate. Switch to closed-loop. Train operators. Platform handed over to you.
Buy It Once. Own It Forever.
No SaaS subscriptions. No per-inference billing. No "your data trains our next model" clauses. Year-one support is included; everything after that is optional and at your discretion.
Hardware, software, deployment, training, year-one support — single PO. Sits on your balance sheet as a depreciable asset, not a recurring cloud line item.
You own the server, the OS, the AI models, the trained weights, and every byte of plant data. Full audit rights. No vendor lock on data export.
After year one, renew remote support & model retraining annually, run it in-house with our handover docs, or mix both. The platform keeps running either way.
Six Reasons Food Manufacturers Pick Us Over Cloud AI & DIY Builds
Most "AI vision" vendors hand you a model and walk away. Most cloud platforms keep your defect images on their servers. iFactory is different on every axis that matters — built for food plants, deployed by our engineers, owned outright by you. Schedule a 30-minute walkthrough to see how this plays out on your line.
Built for food plants from day one. Our engineers know HACCP, FSMA 204, washdown environments, and what a deboning line looks like at 4 AM. Generic vision platforms repackaged for food don't survive the third washdown cycle.
Cameras, lighting, edge GPU, plant GPU, models, LLM, deployment, training, support — all from us. No integration tax across six vendors. Single throat to call when something needs attention.
Send 200–500 sample images. Models arrive on-site already tuned to your bone fragments, your bun spread, your fill levels, your label placements. Most vendors hand you a blank model and a 6-month labeling project.
Every byte of plant data stays inside your fence. The plant copilot LLM runs on your on-site H200 — no API calls to OpenAI, no images uploaded to vendor cloud. Audit-ready for SQF, BRC, FSSC, FSMA 204 from day one.
Network engineers and field technicians dispatched from regional hubs in the US, EU, India, and APAC. Spare parts pre-positioned. The plant in Cleveland gets the same response time as the plant in São Paulo.
One-time CapEx. You own the cameras, the GPUs, the model weights, and every byte of plant data. Year-one support included; after that, renew, run in-house, or mix. No kill switch. Talk to support for terms.
Why Food Manufacturers Place the PO
1000+ industrial deployments. 99.9% uptime track record. 4 regional engineer hubs across US, EU, India, and APAC with spare parts pre-positioned. The plant in Cleveland gets the same response time as the plant in Stuttgart.
What Buyers Ask Before Issuing a PO
Fixed price per server, scoped to your line list and defect classes. Includes hardware, cameras, lighting, software, deployment, training, and year-one support. No recurring license fees. Get a quote — written proposal back in 5 business days.
No. The Jetson edge node and H200 plant node ship pre-configured, racked, and tested as part of the package. Hardware, software, and weights all in one fixed price.
The platform keeps running. You own the hardware, OS, models, and weights outright. Renew remote support annually, run it in-house with our handover docs, or mix. No kill switch, no recurring license. Talk to support for terms.
Yes. We dispatch engineers and field technicians from regional hubs in the US, EU, India, and APAC. Hardware is built in our facility, ships pre-configured, and our crew handles cabling, switching, and PLC integration on-site.
Join the Webinar. Or Get a Quote on Your Line.
Watch the food vision QC system run live on May 13. Or send us your line list, defect priorities, and 200–500 sample images — we come back with a fixed-price proposal within 5 business days. Hardware, software, on-site deployment, training, and year-one support all included. No recurring fees. You own the platform outright the day it goes live.
