FloVision works in four steps — process, detection, decision, and control. Here's what each one does on your floor.

We retrofit your line — no new conveyors, no shutdowns. IP69K-rated sensors mount onto your existing conveyors and processing stations, tailored to your setup; we work around your line, not the other way around.

Computer vision and machine learning, trained on your protein, cuts, and defects, inspect every piece on the line. FloVision counts, classifies, and measures each one — flagging foreign bodies and capturing what drives yield and meets spec.

FloVision signals the line in real time — alerts to stack lights, HMIs and floor TVs, emails to supervisors, or auto-reject at the diverter. You set the policy; we enforce it.

Yield, giveaway, throughput, and defect rates roll up by line, shift, SKU, and supplier — from a single station to an enterprise dashboard that spans every site. Results flow into your systems through our API, so the numbers live where your teams already work, with a full audit trail behind every one.
Nano measures every product as it runs your conveyors. Pro guides operators cut by cut at the station. Most plants run both.

Mounted over your conveyors, Nano measures every product on the line — so you see yield and giveaway on every unit, catch defects and foreign bodies, and benchmark performance across every line, shift, and site.
Explore FloVision Nano
Mounted over manual stations, Pro measures every cut and guides operators in real time — laser guides show the target cut, and managers get yield, quality, and staff-skill analytics down to the individual operator.
Explore FloVision ProBook 30 minutes and we'll map one line and walk you through exactly what we'd find on your floor. Most processors see payback in about three months — bring your current yield numbers and we'll show you where the giveaway is.