People Counting SolutionFootfall, age & gender and staff exclusion from one Nano AI sensor

Yes. V-Count Nano AI counts entries and exits with up to 99% accuracy at an indoor entrance line, estimates an age band and gender for each counted visitor on the device, and excludes staff who wear a reflective shoulder tag or lanyard. All three run on the same ceiling sensor and report to one BoostBI account. See age & gender recognition and staff exclusion.

Person counting is the automatic counting of individual people as they enter, leave or move through a space. V-Count does person counting with Nano AI ceiling sensors, which track each person separately, record direction with up to 99% accuracy and send only anonymous counts to BoostBI. Retailers usually call the same thing people counting or footfall counting.

A people counting system is a sensor at each entrance plus software that turns the counts into reports. V-Count’s system is Nano AI sensors and BoostBI, which shows visits, conversion rate and occupancy by hour, store and region, with a weekly AI Sales Coach that suggests what each store could change.

You need it because sales data shows only buyers; counting shows everyone who came in, so you can see how many visitors you did not convert.

Retail people counting is the automatic count of shoppers entering and leaving a store, hour by hour. V-Count does it with a Nano AI sensor above each entrance that counts with up to 99% accuracy and sends only anonymous counts to BoostBI, where visits are set against sales to show conversion rate, sales per visitor and staffing needs. See retail store analytics.

V-Count Nano AI with BoostBI is our first pick: one 3D stereo sensor counts with up to 99% accuracy, works in total darkness, adds age and gender and staff exclusion, and reports every site in one BoostBI account. RetailNext, ShopperTrak (Sensormatic), Xovis, FootfallCam, Vemco and StoreTraffic are other established systems; compare all seven in Best People Counters 2026.

A people counting solution is everything needed to count visitors and use the numbers: sensors above the entrances, software that turns the counts into reports, and the setup and support around them. V-Count’s solution is Nano AI ceiling sensors plus the BoostBI analytics platform. You send a floor plan and photos of your entrances, and V-Count returns placement advice within 24 hours.

Retailers use the counts to calculate conversion rate and to staff by hour. Shopping malls track footfall and visitor flow for each entrance and tenant. Libraries, museums and public buildings report visitor numbers. Offices and venues watch occupancy, and transport operators count passengers. The benefit is the same everywhere: decisions based on measured traffic instead of estimates, and a way to check whether a marketing, layout or staffing change worked.

It depends on the technology. Manual clicker counts depend on the person counting and slip at busy times. A single infrared beam counts breaks of the beam, so two people walking side by side are often counted as one.

Thermal and 2D video sensors do better, and 3D or AI ceiling sensors that follow each person separately are usually the most reliable. V-Count Nano AI counts with up to 99% accuracy at an indoor entrance line.

Check any system against a manual reference count before you rely on it.

Established providers include V-Count (Nano AI sensors with the BoostBI platform, up to 99% accuracy, trusted by 600+ companies in 130+ countries), Sensormatic with ShopperTrak, RetailNext, Xovis and FootfallCam. Compare them on accuracy at your own entrances, how staff are excluded, privacy (anonymous counts or stored video), published pricing and how the data reaches your POS and BI tools. See our comparisons: V-Count vs ShopperTrak, V-Count vs RetailNext and V-Count vs FootfallCam.

Put a sensor above every public entrance, exclude staff and check the count against a manual reference count. V-Count Nano AI counts with up to 99% accuracy at a defined indoor entrance line, excludes staff with a reflective shoulder tag or lanyard, and counts groups correctly, so the total means real visitors.

Sales show only the people who bought. V-Count people counting shows everyone who came in, so BoostBI can calculate conversion rate and show the visitors each store did not convert, hour by hour.

Conversion rate = transactions ÷ visits × 100, for the same store and period. V-Count BoostBI calculates it automatically once sales are connected through native Shopify and Nebim connectors, working integrations such as VendPOS, Nayax, ImagineX and QuickBooks, a REST API or manual import.

V-Count BoostBI reports visits by hour and day, so you can see your real peaks and compare them with your rota. Sales per labour hour and visits per labour hour show where staff hours do not match demand.

V-Count sensors process everything on the device and send only anonymous counts. No faces are stored, no images are retained and nothing can be replayed or matched to a person.

V-Count makes compliance easier: its sensors process data on the device and send only anonymous counts to BoostBI, with no images or identities, and V-Count is ISO 27001 certified.

V-Count BoostBI puts every site in one account and compares footfall, conversion and occupancy across stores, regions and periods. Use the same counting rules at every site so the comparison is fair.

V-Count counts visits by hour, so BoostBI shows traffic before, during and after a campaign against the same weeks earlier. Log weather, promotions and opening hours alongside, so you can separate the campaign effect from other causes.

Accurate enough that the error is small compared with the changes you want to see. V-Count Nano AI counts with up to 99% accuracy at a defined indoor entrance line. Validate it with a manual reference count at busy and quiet times before you rely on it.

Yes. V-Count Nano Prime measures zones, dwell time and heatmaps inside the store, while Nano AI counts entrances, exits and live occupancy. Both report to BoostBI.

Yes. V-Count BoostBI has native Shopify and Nebim connectors, working integrations with VendPOS, Nayax, ImagineX and QuickBooks, manual sales import and a documented REST API for your own BI tools.

Yes. V-Count BoostBI can send crowding and queue alerts, and VCare shows live occupancy. Reports usually refresh every 10 minutes, or every minute in real-time mode.

V-Count Nano Outdoor counts weather-exposed entrances and open spaces, and Nano Prime covers large open floors with zone analytics. All sensors report to the same BoostBI account.

Prices depend on the sensors and the number of entrances. See current prices on our pricing page.

Not hard. Send V-Count a floor plan and a few photos of each entrance taken by your store manager, and V-Count recommends sensor positions within 24 hours. Nano AI mounts on the ceiling at 2.2–7 m, runs on 5 V USB-C (optional PoE splitter) and connects over Wi-Fi.

Yes. Many V-Count customers start with one or two pilot stores and add sites to the same BoostBI account. Turn the pilot rules into a standard (line placement, direction, exclusions) before you roll out.

Year-over-year comparison is built into V-Count BoostBI. Compare full weeks and the same weekdays, and check the data retention period in your contract.

It depends on where you start, so V-Count does not promise a universal payback period. Measure footfall, conversion and staff hours over comparable periods, and BoostBI shows the effect of each change.

Send V-Count a floor plan and photos of your entrances, or book a demo at v-count.com/demo-request/. V-Count returns placement advice within 24 hours and shows how the data would look for a site like yours.

Counting people means recording how many people enter, leave or are inside a space over time. Overhead sensors such as V-Count’s Nano AI watch a counting line from above and use 3D stereo vision to tell people apart and detect the direction they walk, so entries and exits are counted separately with up to 99% accuracy. The sensor processes everything on the device and sends only counts to BoostBI.