SquintPRO · Restaurants and kitchens

AI video analytics for restaurants and central kitchens in Saudi Arabia

AI video analytics for restaurants and central kitchens is useful where the cameras are already installed and nobody has time to watch them. SquintPRO, the video analytics platform Interkey builds and supports in Riyadh, watches kitchen and branch CCTV for the conditions your hygiene plan names, such as a person on the prep line without a hairnet, and turns each into an alert with video evidence and a searchable record.

Orientation

At a glance

The page in one table, for the reader with five minutes.

What it is
SquintPRO, Interkey's own video analytics platform, for central kitchens, restaurants and hotel kitchens
What it watches
Hairnets and masks, the handwash station, cleaning rounds, opening and closing, restricted rooms
Cameras
Your existing CCTV over RTSP or ONVIF, on views the survey qualifies
Where it runs
On-premise, so footage stays on site, or in the cloud with 3, 6 or 12 months' retention
How it is licensed
Per camera stream, with unlimited use cases on a licensed stream; by quote
What it does not do
Identify people, see soap or technique, or replace an inspection
What Interkey does
Camera survey, pilot, integration and support from Riyadh

Why kitchens start with the cameras they already have

A central kitchen that supplies many branches runs early shifts, a cold chain and a cleaning schedule that never stops. The food safety manager cannot stand at every prep line and sink, yet most kitchens have cameras whose footage is opened only after a complaint. Computer vision in restaurants and central kitchens changes what those cameras are for: the software alerts when a defined condition occurs in a defined zone during set hours, while there is time to correct, and keeps a record of the shifts nobody checked. See the SquintPRO video analytics page and our industrial safety practice.

AI video analytics for restaurants and central kitchens: what SquintPRO watches

Pick one or two for a pilot; the survey establishes what each camera can see.

Kitchen and restaurant use cases, what SquintPRO records and what each needs from the site
Use caseWhat SquintPRO recordsWhat it needs from the site
Hairnets and masks at the prep lineA person in a prep zone without the required head or face coveringCameras close enough to see the head and face; tested on your footage
Gloves at prep tablesBare hands where gloves are required, in close views onlyA camera placed over the table
Handwash station useEach visit to the handwash zone, with its time and durationAn unblocked view of the sink area
Cleaning roundsPresence in a zone during its cleaning windowThe cleaning schedule per zone
Opening and closingNo one at the counter at opening time; people inside after closingOpening hours per branch
Restricted rooms and doorsA person in a cold room, dry store or back door area outside permitted hoursZones and hours on each camera view

Hairnets, masks and gloves at the prep line

Head coverings and masks are the more workable case: they sit on the most visible part of the body, and a camera above the line sees them well, though light hairnets on light hair and masks pulled under the nose are harder. Gloves are small at CCTV distances and work only in close views over a prep table; our guide to protective equipment detection on existing cameras explains why. Each check is tested on your footage before it alerts anyone.

Cleaning logs that match the schedule

Most cleaning logs are signed at the end of the shift. SquintPRO adds evidence beside the log: for each zone and cleaning window, whether someone was present and for how long. When an entry is questioned, the team can search recorded footage by description, such as "a person with a floor scrubber in the cold room after closing". Video does not judge whether a surface is clean; swab tests, inspections and the signed log stay.

The same cameras can show whether a branch opened on time and closed properly, and cold rooms, dry stores and the back door can be zones that alert outside permitted hours, as in restricted-zone intrusion detection.

Safety monitoring in restaurants and central kitchens in Saudi Arabia

Steam and grease on lenses, glare from stainless steel and dim stores all move the result, so the pilot runs in those conditions, with dashboards by branch, kitchen and shift. Food establishments in the Kingdom work to the requirements of the Saudi Food and Drug Authority and their municipality; SquintPRO gives your team evidence of daily practice and does not certify compliance. Tell staff what is watched and why: SquintPRO does not use face recognition and does not identify people. On-premise keeps footage on your servers; the cloud keeps it for 3, 6 or 12 months. Interkey's engineers carry out the survey, integration and support from Riyadh, in Arabic and English.

How a kitchen pilot runs

  1. Camera survey.

    Each camera is sorted into usable, usable after adjustment, or needing new hardware; see our guide to running analytics on existing CCTV.

  2. Pilot scope.

    One central kitchen or a few branches, one or two use cases, and success criteria written first, including the false alerts per shift the team accepts.

  3. Integration.

    Alerts go into the VMS, control room or messaging the operation already uses.

  4. Tuning.

    Zones, schedules and grace areas follow how the kitchen works.

  5. Measurement and rollout.

    Results are measured on your cameras against the criteria; more branches follow once the pilot passes.

What drives the cost

SquintPRO is licensed per camera stream, with unlimited use cases on a licensed stream, so adding cleaning rounds to a camera already licensed for hairnet checks adds no licence. Each quote is built from the streams and branches, the deployment model and any new cameras, such as close views over prep tables; see how a SquintPRO quote is built.

Questions kitchen and restaurant teams ask

Can AI check that our kitchen staff wear hairnets, masks and gloves using the cameras we already have?

Hairnets and masks often can, on cameras that see the head and face closely enough; gloves need close views over prep tables. Each check is measured during the pilot before it alerts anyone.

Can the cameras confirm that staff washed their hands properly before starting a shift?

No: a camera cannot see soap or technique. SquintPRO can record each visit to the handwash zone and how long it lasted, which shows whether the station is used at the start of work and after breaks.

Can SquintPRO keep a cleaning log for our central kitchen?

It keeps evidence beside your log: for each zone and cleaning window, whether someone was present and for how long, with footage you can search by description. It does not judge whether a surface is clean.

Can head office see whether each restaurant branch opened on time?

Yes, when a camera covers the counter. SquintPRO can alert when nobody is at the counter zone at opening time and when people are still inside after closing, with dashboards by branch.

How is SquintPRO priced for a restaurant chain with many branches in Saudi Arabia?

By quote, per camera stream, with unlimited use cases on a licensed stream, following the streams and branches, the deployment model and any new cameras needed.

Where is our kitchen footage kept, and is there support in Arabic?

On-premise, footage stays on servers you control; in the cloud, recordings are kept for 3, 6 or 12 months. Interkey supports the system from Riyadh, in Arabic and English.

Next step

Plan a kitchen pilot

Tell us roughly how many cameras cover the prep areas and branches, and the hygiene checks you worry about most. We will say which cameras can carry which use cases and what a pilot could measure.

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Or directly

+966-11-2180999 [email protected]

Tawuniya Towers, North Tower, 7th Floor, King Fahad Highway, Olaya, P.O. Box 56835, Riyadh 11564, Saudi Arabia

or What it watches in a kitchen

Published by Interkey. Last updated . Interkey is registered in Riyadh, Saudi Arabia under commercial registration 1010156897.