One custom-vision capability — see the object, judge it, count it, write the record — pointed at very different problems: order accuracy at a drive-thru, shell grading on a harvest table, defect detection on a production line, a dock-door hand-off. What changes is what counts as an event and what the model is trained to see. We build for the sector you're in, from QSR to aquaculture to agriculture and beyond.
Computer vision does the eyes-on work no crew can sustain: grading every animal, spotting shell defects and disease indicators, and tracking biomass on underwater feeds. Because the same cameras see every event, the FSMA 204 record is captured automatically — no clipboards on a wet, moving deck.
Every QSR already runs cameras. Point custom computer vision at them and the same feed measures speed of service, checks order accuracy, and flags the bottleneck slowing the line — surfacing the speed and upsell gains that grow revenue and the waste that eats margin, without adding a person to stand and count.
Computer vision grades and sorts produce, spots disease and pest outbreaks early, and forecasts yield from field to pack house — with Food Traceability List capture built into the same feed.
In-line inspection at production speed, catching defects at the station where they happen rather than at final QC.
High-traffic zones no one can watch all shift. Computer vision tracks pallets and inventory, keeps forklift areas safe, and captures every dock-door hand-off automatically.
The security cameras you already run, put to work on revenue — conversion, dwell-to-sale, and where shoppers actually go, plus loss prevention that protects margin.
Monitoring and imaging support in environments where privacy design matters as much as accuracy.
Public-facing camera streams with real-time data overlays, built on CamStreamer and Flightradar24 — a smaller line of work, same core engineering.
If something moves through a process and someone has to record it, the model probably transfers. Ask.
