Cameras that don't just watch. They run the plan.
Vision AI sees what's in the case, on the line, in the oven and at the pass, and feeds it straight into your forecast, your orders and your cook programs. Nobody has to count, check or press start.
Live · Display case, camera 2 Example · what the system did
Glazed · 28 on handOn plan
Boston Kreme · 2 leftAdded to tomorrow's order
Chocolate · sold out 13:40Demand logged
- 25%
- Less donut waste
- Do'Cast across 90+ Bluemont Group Dunkin' stores.
- 90%+
- Top sellers in stock at 4 pm
- Do'Cast at Bluemont Group, while waste went down.
- +24%
- Bakery sales
- REWE Group within 12 months of vision-run ovens.
- 60 min
- Labor saved per oven, daily
- Up to, on the Convotherm mini pro with ConvoSense.
Seeing isn't the product. Acting is.
Most camera systems end in a dashboard somebody has to read. Ours end in the plan your crew already follows.
See
Cameras over the case, the line, the oven and the pass read trays, pans and plates, all day.
Understand
Models running in the store turn pixels into facts: what's there, how much, and for how long.
Decide
The forecast, prep plan and order learn from what was really on hand, not only from what sold.
Act
An order goes out, a cook program starts, a pan gets called, a plate is stopped at the pass.
Report
Waste, availability, hold times and minutes out of stock, per store, every week.
From the drive-thru lane to the oven door.
One vision system for the whole store. Cameras on the guest side count and time the service; cameras behind the counter watch the food. Both land in the same plan.
- Drive-thru laneQueue, order, window and drive-off times for every car.
- Counter and dining roomLine wait, order-to-pickup time, guests who walk away.
- Display case and shelvesEvery tray counted; sell-outs time-stamped for the forecast.
- Makeline, hot holding, buffetFill level and hold time in every pan; refills called early.
- Oven, grill and fryerPrograms started by what's loaded; cook times measured; fryer exhausts run to what's cooking.
- The passPlates checked against the recipe; serve temperature watched.
- Pantry and barShelf and bottle counts, with voice for the rest.
- Entrance and footfallGuests counted as they arrive; live traffic feeds the forecast.
Tap a number to see what the cameras do there.
Every pan, tray and shelf, counted against the forecast.
Cameras classify and measure what's in each pan and on each shelf, compare it minute by minute with what the forecast says you'll need, and call for more before it runs out, earlier at peak.
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Stock-outs and fill levels
Every pan and tray measured, all day; sell-outs time-stamped.
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Refills called in time
Short against the forecast? The crew gets the call, not a dashboard.
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Hold time and waste scorecards
End-of-day waste, average hold time, minutes out of stock.
- Makelines
- Hot holding
- Display cases
- Shelves and grab-and-go
- Buffets
Empty shelves hide demand.
When the chocolate donuts sell out at 1:40, the register records nothing more for the day, and a sales-only forecast learns to order fewer tomorrow. Do'Cast's cameras log the moment the tray empties, so the forecast learns what guests wanted, not just what was left to buy. Then it writes the order.
Explore Do'CastChocolate donuts, one store, one day · cumulative units
- less donut and Munchkin waste
- 25%
- food cost saved per store, per year
- $8K+
- top-seller availability by 4 pm
- 90%+
Covered by Forbes, Fast Company, QSR Magazine and Restaurant Business.
The oven knows what's inside.
Optical sensors look at every tray as it goes in. The oven compares what it sees with its stored cooking profiles and starts the matching program by itself, so an untrained crew gets the same croissant as your best baker.
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Product and rack recognition
Knows each item and which rack it's on, including mixed loads.
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Automatic program start
The right bake or cook program runs without a single tap.
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Time compensation and alerts
Times adjust on their own; a conflicting tray is flagged at once.
- labor saved per oven, per day, up to
- 60 min
- less energy
- 28%
- less food waste
- 17%
Exhausts that follow the fryers, not the clock.
A camera over the fry station sees which vats are cooking and when the station goes quiet. The exhaust fans ramp with that activity instead of running flat out all day, and the crew hears about a basket before it goes over.
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Fryer activity, vat by vat
Knows which vats are frying, which are idle, and how long each basket has been down.
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Exhaust fans that ramp with the work
Fans come up when frying starts and back down when it stops, not on a fixed schedule.
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Basket alerts
A basket left down too long is flagged at once, so nothing goes out dark.
Checked before it leaves the kitchen.
The same standard on every plate, at every temperature, on every shift, without a manager standing at the pass.
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Quality Control
Every plate checked against the recipe at the pass.
- Components, portion and build vs. the recipe
- Missing items in holding flagged
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Serve-Temperature Monitoring
A thermal camera watches food at the pass and on the buffet.
- Temperature tracked for every pan
- Alarm before food drops below temp
- A digital log for inspections
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Cook-Time Tracking
Cameras measure time on the grill and in the pan.
- Every batch logged automatically
- Under- and over-cooking caught
- Cook times compared across stores
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Order Accuracy
Bags and trays checked against the ticket before they're handed over.
- Each item matched to the ticket
- A missing or wrong item flagged before handover
- Accuracy tracked by store and shift
Every car and every guest, counted and timed.
The service metrics every camera vendor sells, built into the same system that runs your kitchen.
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Drive-thru timing
Queue, order, window and drive-off times for every car, lane by lane.
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Counter and dining flow
Line wait, order-to-pickup time, and guests who leave before ordering.
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Guest traffic
Footfall and cars counted as they arrive, by the minute, for every store.
A stand-alone timer
Reports tomorrow that lane 1 averaged 4:12 over lunch.
PreciTaste Vision AI
Sees nine cars queued at 11:52, pulls the lunch forecast forward and calls two more batches of fries.
Illustrative example.
See your store the way our cameras do.
Walk through Vision AI on your own concept: which stations to start with, what it takes to install, and what it pays back.
Something else you need to see? We build new vision use cases with operators, on the same platform.