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.
Ready10 use cases
Traffic and footfall
Who comes in, when, where they go and how long they stay.
Footfall without staff
Customer counts with employees and salespeople removed, using enrolled staff faces.
Rolling out
Busy hours and daily trends
Hour-by-hour and day-by-day patterns to plan staffing and shifts.
Ready
Compare stores and branches
Footfall, waiting, alerts and staffing side by side, adjusted for traffic.
New
Floor heatmaps
Where shoppers walk and stop on each floor.
Validating
Zone visits and dwell
Visits and time spent at displays, categories and promotions.
Validating
Gender and age split
Who your visitors are, by gender and age band, without storing faces.
Rolling out
Groups, couples, solo
How visitors arrive: alone, as couples, families or groups.
New
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
Recognises regular and high-value customers at the door, so the owner can receive them personally.
Rolling out9 use cases
Queues and service
Queues, waiting, service time and counters that need staff.
Queue length alert
Alerts when too many are waiting, so another counter opens in time.
Ready
Waiting and service time
How long each customer waits, and how long they are served, per counter.
Rolling out
Left the queue without service
Customers who joined a queue and walked away before being served.
New
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
Billing, reception and service desks left without staff during open hours.
Ready
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
Queue length and waiting time in darshan lines, ticket counters and security checks.
Ready
OPD, billing and pharmacy queues
Queue length and waiting at OPD registration, billing and pharmacy counters.
Ready
Branch crowding
Banking halls getting crowded, so another counter opens.
Validating11 use cases
Owner's remote watch
Shutter times, empty counters, cash, staff, back doors and night watch for owners who can't be in the shop.
Staff attendance and time inside
Who came in, when, how long they stayed, and time away during the shift.
Rolling out
Opening and closing times
When each store actually opened and closed, against its schedule.
Rolling out
After-hours intrusion
Anyone inside the store after closing, with the clip.
Ready
Cash drawer opened with no customer
Drawer openings at billing counters when no customer is present.
Needs a connection
Camera offline, blocked, blurred
Cameras offline, covered, blurred, moved or with night vision failing.
Validating
Strongroom and locker room after hours
Anyone at the strongroom, safe or locker room after the shop closes.
Ready
Cameras covered or turned
A showroom camera covered, sprayed or turned away, usually the first move in a planned theft.
Validating
Empty shop, nobody at the counter
The billing counter or cash drawer left with nobody on it while the shop is open.
See from your phone that someone is minding the shop.
Ready
Back door and godown door left open
The back door, godown shutter or cold-room door left open after use or after hours.
Validating
Night watch on the shutter
Anyone at the shutter, or hanging around the shop front, after it is closed for the night.
Ready
Trial room overstay
Someone in a trial room far longer than usual, often a sign of tags being cut. Watches the corridor only, never inside.
Ready3 use cases
Loss prevention
Cash drawers, voids, refunds and suspicious behaviour.
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
Visitors vs bills, voids and refunds
Conversion from footfall to bills, and voids or refunds matched to video.
Needs a connection
Concealment, items leaving unpaid
Pilot: flags concealment-like movements for staff to review.
Pilot6 use cases
Staff and workforce
Attendance, uniforms, grooming and staff on the floor.
Student and library attendance
Attendance by face for classrooms, gates and libraries, with consent.
Validating
Uniform compliance
Checks staff are in the right uniform, every day, per store.
Rolling out
Grooming, caps and hairnets
Caps, hairnets and grooming rules in kitchens, counters and food areas.
New
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
Workers entering and leaving the site, and how many are inside each shift.
Ready
Labour attendance
Farm and dairy workers' attendance from faces at the gate, with hours on site.
Rolling out4 use cases
Platform and camera health
Camera health, recording, access and accuracy.
Recording failures and storage
Recording gaps and storage on each DVR or NVR.
Needs a connection
Store logins, roles, per-store reports
Each store manager sees only their store; head office sees everything.
Ready
Count accuracy dashboard
Sampled clips checked by people against the AI's counts, with the error rate per store.
New
ATM camera tampering
ATM cameras covered, sprayed, turned or blacked out.
ValidatingQuestions
Saree, textile and ethnic wear, answered.
What can a video management system do for saree, textile and ethnic wear?
Iron VMS shows every camera live, records on your own server and watches each camera for what matters in saree, textile and ethnic wear: Footfall and live occupancy; Busy hours and daily trends; Queue length alert; Counter or desk unattended. In all, 43 use cases across 6 packs switch on for saree, textile and ethnic wear.
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?
15 of the 43 use cases for saree, textile and ethnic wear 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.
Other industries
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