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AI security camera in a restaurant kitchen

AI video analytics for restaurantsKitchen under control.
Guests are yours.

AI video control of food preparation and your own delivery app. Two solutions that work together.

A chef cooking under a camera with video analytics
Added: 12 gMozzarella
Part 1 · The problem

Hundreds of kitchens.
And you are not standing in any of them.

The cook portions “by eye”. You find out from a guest review or from the stock count.

Short portionsOveruseDifferent taste across locations
Part 1 · The solution

The camera checks every dish against the recipe card

  1. Order from the POS
  2. AI sees what the cook adds
  3. Mistake: instant alert

Domino's has checked every pizza this way since 2019.

CAMERA 03 · ASSEMBLYREC
Patty · cheese
Lettuce
Cheese
Sauce not added
Order 4182 · Cheeseburgerlive
  • Pattyok
  • Cheeseok
  • Lettuceok
  • Saucemissing
  • Tomato, 2 pcs0 pcs
  • Weight182 / 210 g
Part 1 · What the system catches

Six checks on every dish

IngredientsIs everything in
PortionPieces and grams
TimingGrill, fryer, pass
PlatingLike the reference photo
HygieneGloves, uniform
SpeedFrom order to pass

Honestly: exact grams come from the camera paired with scales. We fix the accuracy on your footage before the contract.

A restaurant chain owner reviewing location ratings on a tablet
Part 1 · Running the chain

Your whole chain on one screen

Not a video archive but a ranking of locations, shifts and cooks. Any deviation opens as a 10-second clip.

Recipe compliance, week

Location 1297%
Location 4894%
Location 13183%
Location 9671%
Location 96 · 13:42Cheeseburger without sauce. Clip 12 s
Part 1 · The money

What it costs to cook “by eye”

Product overuse per month
40 500 000 ₸

Per year: 486 000 000 ₸. Enter your own numbers.

Part 1 · Getting started

First we prove it. For free.

Step 1 · freeTest on your footageTwo hours of kitchen video. We show what the system catches.
Step 2 · 6-8 weeksPilot in one kitchen10-20 top dishes, POS, dashboard.
Step 3The whole chainA standard kit per location, rolled out city by city.
A food delivery courier with a restaurant order
Part 2 · The problem
30-40%

of every order goes to the aggregator

And the guest's contacts stay with it too.

GlovoWoltYandex Eats
Ordering at a restaurant through its own mobile app
Part 2 · The solution · Delicio

Guests order from you. 0% commission on the menu

An app under your own brand. The money and the guest base stay with your chain.

New order · 6,200 ₸Aggregator commission 0 ₸
Your brand35 min
App only10% cashback
Cheeseburger210 g
2 400 ₸
Chicken salad240 g
2 900 ₸
Berry drink0.4 L
900 ₸
Pay · Kaspi
+620 points
Part 2 · What's inside

Everything for orders in one app

AppiOS and Android, your brand
QR menuOrder right from the table
DeliveryYou pay only for the courier
Cashback and pushGuests come back on their own
PaymentsKaspi, cards, Apple Pay
POSiiko, R-Keeper, 1C

Launch from 14 working days. Runs in parallel with the kitchen test.

A chef handing a packed order to a courier
Order 4182 packedBy the recipe card, 6 of 6
Together

You can see why a guest didn't come back

Order in the app
Kitchen under control
Delivery
Guest rating

A bad rating? Open the order and see how it was cooked.

Questions and answers

Restaurant video analytics: the essentials

AI video analytics for restaurants, cafes and food service chains turns ordinary kitchen CCTV into quality control: every dish is checked against its recipe card, and management sees a ranking of locations, shifts and cooks. Fewer short portions and less overuse, lower food cost. The system runs on ordinary IP cameras across Kazakhstan: Almaty, Astana, Shymkent and other cities.

What can video analytics do in a restaurant kitchen

A camera above the station checks the preparation against the recipe card: ingredients, the count of piece items, the order of steps and timing, how the finished dish looks, gloves and uniform, and speed of service. The cook sees a deviation at once and the manager gets the clip.

How is video analytics different from ordinary kitchen CCTV

Ordinary cameras record an archive that gets watched after a complaint. Video analytics finds deviations itself while the dish is being cooked and shows them to the cook and the manager at once, with a short clip.

How does video analytics affect food cost

Product overuse mostly comes from portioning “by eye”. When every dish is checked against its recipe card, short portions and overuse become visible by location, shift and dish, so you can fix them precisely instead of waiting for the stock count.

Can a camera measure portion weight

The camera counts piece items on its own: slices, patties, shrimp. Exact grams come from the camera paired with scales at the station: the system links the weight to the dish, the order and the cook.

Do we need to replace the kitchen cameras

Usually not. IP cameras from 1080p with an RTSP stream are fine. What matters more is a top-down view of the work surface and even light without glare from stainless steel.

Where is the video processed

On a compact computer right at the location. The video does not leave Kazakhstan; only events and short clips go to the chain dashboard.

Which POS systems does it work with

With iiko, R-Keeper and 1C. The system receives the order from the POS and knows which dish is being cooked right now.

What accuracy do you guarantee

We do not promise a number in advance. The accuracy is shown by a free test on footage from your kitchen, and we fix that figure before the contract.

How long does the rollout take

The test on your footage takes about a week. A pilot in one kitchen runs for 6-8 weeks, after which the system is rolled out to the chain as a standard kit. The Delicio app launches in parallel, from 14 working days.

What is Delicio

It is our ready-made platform for restaurants: a branded app for iOS and Android, a QR menu, delivery with no commission on the menu, cashback, Kaspi and card payments, and POS integration.

Related solutions

What else we build for restaurants and retail

Next step

Send us 2 hours of kitchen video

We return the result on your own footage. No payment, no obligations.

+7 705 966 25 25
662stores: AI shelf control
28 000+guests in a restaurant chain app
32venues on Delicio