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AI video management system for restaurants and QSR

Restaurants and QSR.

Quick-service restaurants, cafés and food courts. Iron switches on 5 packs with 44 ready-made AI use cases for restaurants and QSR, so your cameras start working the day they are added.

44Use cases
5Packs
14Ready now
17Languages
10 use cases

Traffic and footfall

Who comes in, when, where they go and how long they stay.

Footfall and live occupancy on a CCTV camera

Footfall and live occupancy

Visitors in and out, and how many are inside right now, for every store.

Know how many people walk in, every hour, in every store.
Ready
Footfall without staff on a CCTV camera

Footfall without staff

Customer counts with employees and salespeople removed, using enrolled staff faces.

Rolling out
Busy hours and daily trends on a CCTV camera

Busy hours and daily trends

Hour-by-hour and day-by-day patterns to plan staffing and shifts.

Ready
Compare stores and branches on a CCTV camera

Compare stores and branches

Footfall, waiting, alerts and staffing side by side, adjusted for traffic.

New
Floor heatmaps on a CCTV camera

Floor heatmaps

Where shoppers walk and stop on each floor.

Validating
Zone visits and dwell on a CCTV camera

Zone visits and dwell

Visits and time spent at displays, categories and promotions.

Validating
Gender and age split on a CCTV camera

Gender and age split

Who your visitors are, by gender and age band, without storing faces.

Rolling out
Groups, couples, solo on a CCTV camera

Groups, couples, solo

How visitors arrive: alone, as couples, families or groups.

New
Delivery staff on a CCTV camera

Delivery staff

Spots delivery riders (Swiggy, Zomato, Blinkit, Zepto and others), with or without cartons, and keeps them out of customer counts.

New
Regular and big-ticket customers on a CCTV camera

Regular and big-ticket customers

Recognises regular and high-value customers at the door, so the owner can receive them personally.

Rolling out
9 use cases

Queues and service

Queues, waiting, service time and counters that need staff.

Queue length alert on a CCTV camera

Queue length alert

Alerts when too many are waiting, so another counter opens in time.

Ready
Waiting and service time on a CCTV camera

Waiting and service time

How long each customer waits, and how long they are served, per counter.

Rolling out
Left the queue without service on a CCTV camera

Left the queue without service

Customers who joined a queue and walked away before being served.

New
Customer waiting with no staff on a CCTV camera

Customer waiting with no staff

Customers left waiting at a counter or zone with nobody to help, and how long until someone came.

New
Counter or desk unattended on a CCTV camera

Counter or desk unattended

Billing, reception and service desks left without staff during open hours.

Ready
Staff and customer interaction time on a CCTV camera

Staff and customer interaction time

How long staff spend with customers in each zone, and how many customers get help.

New
Darshan and entry queues on a CCTV camera

Darshan and entry queues

Queue length and waiting time in darshan lines, ticket counters and security checks.

Ready
OPD, billing and pharmacy queues on a CCTV camera

OPD, billing and pharmacy queues

Queue length and waiting at OPD registration, billing and pharmacy counters.

Ready
Branch crowding on a CCTV camera

Branch crowding

Banking halls getting crowded, so another counter opens.

Validating
13 use cases

Store operations

Opening hours, after-hours, restricted areas, hygiene and hazards.

Opening and closing times on a CCTV camera

Opening and closing times

When each store actually opened and closed, against its schedule.

Rolling out
After-hours intrusion on a CCTV camera

After-hours intrusion

Anyone inside the store after closing, with the clip.

Ready
Restricted area intrusion on a CCTV camera

Restricted area intrusion

Entry into stockrooms, cash offices, server rooms and staff-only areas.

Ready
Intrusion with face recognition on a CCTV camera

Intrusion with face recognition

Intrusion alarms that know who it is: staff on your lists let through, anyone on a banned list named, strangers raised as usual.

Fewer false intrusion alarms from your own staff, and a name on the ones that matter.
Ready
Crowding on a CCTV camera

Crowding

Sudden gatherings and crowded areas in stores, branches and campuses.

Ready
Uncleared tables and table hygiene on a CCTV camera

Uncleared tables and table hygiene

Tables left dirty after customers leave, and how fast they get cleared.

Rolling out
Seating available on a CCTV camera

Seating available

Free and occupied tables right now, and how busy seating gets.

Ready
Cleaning rounds done or missed on a CCTV camera

Cleaning rounds done or missed

Checks scheduled cleaning rounds happened, with an audit trail.

New
Shelf gaps on a CCTV camera

Shelf gaps

Visible empty shelf space in chosen aisles, checked through the day.

Validating
Spills, blocked paths and exits on a CCTV camera

Spills, blocked paths and exits

Spills, obstructions and blocked fire exits where people walk.

Validating
Smoke and fire on a CCTV camera

Smoke and fire

Early warning when smoke or flames are seen on camera.

Validating
Doors and gates left open on a CCTV camera

Doors and gates left open

Shutters, gates, fire doors and cold-room doors left open too long.

Validating
Fire exits blocked on a CCTV camera

Fire exits blocked

Boxes, trolleys and locked shutters blocking fire exits and escape routes.

Validating
7 use cases

Staff and workforce

Attendance, uniforms, grooming and staff on the floor.

Staff attendance and time inside on a CCTV camera

Staff attendance and time inside

Who came in, when, how long they stayed, and time away during the shift.

Rolling out
Student and library attendance on a CCTV camera

Student and library attendance

Attendance by face for classrooms, gates and libraries, with consent.

Validating
Uniform compliance on a CCTV camera

Uniform compliance

Checks staff are in the right uniform, every day, per store.

Rolling out
Grooming, caps and hairnets on a CCTV camera

Grooming, caps and hairnets

Caps, hairnets and grooming rules in kitchens, counters and food areas.

New
Classroom without an adult on a CCTV camera

Classroom without an adult

Alerts when a classroom or play area has children but no adult, beyond a set time.

Ready
Workers on site, headcount on a CCTV camera

Workers on site, headcount

Workers entering and leaving the site, and how many are inside each shift.

Ready
Labour attendance on a CCTV camera

Labour attendance

Farm and dairy workers' attendance from faces at the gate, with hours on site.

Rolling out
5 use cases

Platform and camera health

Camera health, recording, access and accuracy.

Camera offline, blocked, blurred on a CCTV camera

Camera offline, blocked, blurred

Cameras offline, covered, blurred, moved or with night vision failing.

Validating
Recording failures and storage on a CCTV camera

Recording failures and storage

Recording gaps and storage on each DVR or NVR.

Needs a connection
Store logins, roles, per-store reports on a CCTV camera

Store logins, roles, per-store reports

Each store manager sees only their store; head office sees everything.

Ready
Count accuracy dashboard on a CCTV camera

Count accuracy dashboard

Sampled clips checked by people against the AI's counts, with the error rate per store.

New
ATM camera tampering on a CCTV camera

ATM camera tampering

ATM cameras covered, sprayed, turned or blacked out.

Validating
Questions

Restaurants and QSR, answered.

What can a video management system do for restaurants and QSR?

Iron VMS shows every camera live, records on your own server and watches each camera for what matters in restaurants and QSR: Footfall and live occupancy; Busy hours and daily trends; Queue length alert; Counter or desk unattended. In all, 44 use cases across 5 packs switch on for restaurants and QSR.

Will it work with the CCTV cameras we already have?

Yes. Iron works with any IP camera or NVR that speaks RTSP or ONVIF. Existing NVRs keep recording while Iron adds live view, search, AI and alerts.

Does our video leave the premises?

No. Iron runs on a server you own, as a Windows, Linux or macOS service. AI can run on site too; cloud models are optional.

How do we get alerted?

Every alarm becomes an incident with its clip and goes to whoever is on shift on WhatsApp, SMS, email or a webhook, escalating if nobody acknowledges it.

How many of these are ready today?

14 of the 44 use cases for restaurants and QSR are proven on real footage and ready now; the rest are validating, rolling out or in pilot, and each card on this page says which.

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