AI CCTV video analytics from the cameras you already have
AI CCTV video analytics and people counting from your stores' existing cameras: visitors, gender mix and which shelves draw attention. It never monitors staff.
- Visitors, gender mix, shelves, busiest hours
- 4 readings
- Your store CCTV, no new cameras
- Existing
- Staff are never monitored
- 0 staff
- Counts and reads visitors, never identifies a person
- No face ID
Do your stores know their visitors?
Head office guesses how many people walk in, which shelves they stop at, and when the shop is busiest.
INDUSIA reads the cameras you already have
The AI counts visitors and notes which shelves draw people, from your existing store CCTV.
The retail CCTV dashboard
- Visitor countCounts people entering each store.
- Gender mixReads the mix of visitors, not staff.
- Shelf attentionShows most and least visited shelves.
- Busiest hoursHead office sees the peak times per store.
How does AI CCTV video analytics count visitors?
INDUSIA's AI CCTV video analytics reads the video from cameras a store already has and turns it into counts. It counts people entering each store, which is people counting for multi-store retail. It reads visitors only, and it never identifies a person or monitors staff.
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A normal CCTV system records video that someone must watch back. Video analytics does the watching: the software reads the stream and reports numbers head office can compare across stores.
People counting here means counting, not recognising. The system does not use face recognition and does not know who a visitor is.
What does the retail CCTV dashboard show head office?
INDUSIA's retail CCTV dashboard shows four readings per store: how many visitors came in, the gender mix of visitors, which shelves draw the most and least attention, and the busiest hours. Head office compares stores on one screen, instead of guessing from till receipts or store manager reports.
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Shelf attention is shown as a heat view of the shop floor, so a shelf that people pass without stopping is easy to see next to a shelf that draws a crowd.
The same head-office screen carries the rest of the retail system, so camera readings sit beside the other store figures.
| Reading | What it tells you |
|---|---|
| Visitor count | How many people enter each store |
| Gender mix | The mix of visitors, not staff |
| Shelf attention | Which shelves are visited most and least |
| Busiest hours | Peak times for each store |
Is CCTV AI different from ordinary CCTV and a door counter?
Yes. Ordinary CCTV records video for someone to review later. A door sensor counts crossings at one point. INDUSIA's CCTV AI reads the camera view itself, so one system gives people counting, visitor mix and shelf attention from the cameras the store already has, without installing a new device at each door.
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The choice depends on the question. If you only need a count at the door, a sensor may be enough. If you also want to know where visitors go inside the shop, you need a reading of the floor, and that is what camera analytics gives.
| Point | Ordinary CCTV | Door counter | CCTV AI |
|---|---|---|---|
| Main output | Recorded video | Entry count | Counts, mix and shelf attention |
| Needs someone to watch | Yes | No | No |
| Shows what happens on the floor | Only if someone watches | No | Yes, as shelf attention |
| New hardware at the door | No | Yes | No, uses existing cameras |
Does the system monitor staff or identify people?
No. INDUSIA's retail CCTV is built to read visitors only. It does not monitor staff, it does not track what an employee does, and it does not use face recognition. It reads counts and groups, never a named person. This was a product decision from the start, not a setting that can be turned on later.
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Stores worry that analytics will be used to watch their own team, and that worry is fair. The system is designed around visitors, so the question it answers is how the store is used, not how an employee works.
What do we need to provide, and what is the project status?
INDUSIA starts from the CCTV cameras your stores already have, so there is no new camera purchase to plan. The product is designed for multi-store retail, and the figures shown on this page are examples. A retail project is in progress, and its first stores are planned to start in early 2027.
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To scope a project, we need to know your store count and which cameras each store already has. Results go to the same head-office screen as the rest of the retail system, so the retail page shows how the pieces fit.
| Item | Why it is needed |
|---|---|
| Existing store CCTV | The source of the video, no new cameras |
| List of stores | To set up each store in the head-office view |
| Camera views of the floor | To read entrances and shelf areas |
A project with MONI
Questions and answers
AI CCTV video analytics and people counting for retail stores in Indonesia
INDUSIA's AI CCTV video analytics counts visitors from the cameras a store already has. It also shows the gender mix and which shelves draw attention, for multi-store retail.
Can existing store CCTV count visitors without monitoring staff?
Yes. INDUSIA's retail CCTV starts with the cameras the store already has, and it counts and reads visitors only. It does not monitor staff.
Does it monitor our staff?
No. It does not monitor staff. It counts and reads visitors only.
Do we need new cameras?
No. It starts with the CCTV cameras the store already has.
Is this product finished?
It is designed for multi-store retail. The figures shown here are examples.
Where do the results go?
To the same head-office screen as the rest of the retail system. See the Retail page.
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