BUYING GUIDE · UK STOCK

People Counting Sensors for Retail, Venues & Public Buildings

Footfall is the denominator of every retail metric you care about. Count it properly — anonymously — and conversion, staffing and opening hours all become decisions instead of guesses.

Count people, not faces

People counting sensors answer the questions a till cannot: how many walked in, when the peaks hit, how many walked past without entering, and which zones pull people deeper into the space. Divide sales by accurate footfall and you finally know whether a quiet Tuesday was a traffic problem or a conversion problem.

Modern people counting sensors are anonymous by design — they process shapes, heat or depth at the edge and output only numbers, never images of identifiable people. That keeps deployments comfortably inside ICO expectations, and makes them as welcome in libraries and leisure centres as in shops.

The people counting sensors at every budget

Accuracy scales with price. Passing-traffic bars for £40, battery doorway counters for under £130, and AI stereo-vision units hitting 99.8 % accuracy at the top. All prices ex VAT; mix tiers freely across an estate.

Compare technologies and prices

People counting sensors compared by technology — prices ex VAT
ProductBest forConnectivityPrice (ex VAT)
Milesight VS361 Storefront Footfall SensorPassing traffic outsideLoRaWAN®£40.40
Milesight VS350 Passage People CounterInternal passagesLoRaWAN®£74.82
Milesight VS360 IR Breakbeam People CounterSingle doorwaysLoRaWAN®£127.19
Milesight VS351 Thermopile People CounterWide doorways, batteryLoRaWAN®From £118.21
Milesight VS125 AI Stereo Vision People CounterRetail-grade accuracyPoE / EthernetFrom £374.08
Milesight VS133-P AI ToF People Counting SensorTall/wide entrancesPoE / Ethernet£492.30
Milesight VS126 AI Ultra High-Mount People CounterAtriums, high ceilingsPoE / EthernetFrom £822.99

Matching the technology to the doorway

Choose by entrance geometry and by what the number feeds. Staffing rotas and opening-hours decisions tolerate ±10 % — battery IR and thermopile units are perfect and install anywhere. Conversion-rate analytics and landlord reporting need the AI vision tier, where bidirectional accuracy up to 99.8 % survives prams, group entries and umbrellas.

The battery tier runs on LoRaWAN with zero cabling; the AI tier wants PoE, so plan a switch port per entrance. Estates mix both: AI vision on the flagship’s main doors, battery counters everywhere else, all in one dashboard.

  • ±10 % is fine for rotas; conversion analytics deserve the 99.8 % tier
  • Battery LoRaWAN counters install in minutes with no cabling at all
  • AI units process on-device and output counts only — no images leave the sensor
  • Storefront sensors count passing traffic for capture-rate analysis
  • Occupancy caps: live in/out counts drive at-capacity displays
  • One dashboard aggregates every site for portfolio benchmarking

Network and rollout

Battery counters need one UG63 gateway per site; PoE units plug into any PoE switch, and a single 4-port switch powers a whole entrance cluster. A typical shop deploys in under an hour; a shopping-centre estate rolls out over a weekend.

Counts flow to dashboards with per-site conversion overlays, and out through APIs to your BI stack. Libraries and councils use the same hardware for usage-based service planning — see our retail and local government pages for sector detail.

Why buy from Indiott

We are engineers first and a shop second. Buy online in GBP from UK stock, or call us on 023 9223 3611 and we will sanity-check your device list before you spend a penny — the right frequency band (EU868), the right probe, the right gateway for the building.

EU868correct UK/EU frequency, always
1 daytypical quote turnaround
100+devices ready to ship

Frequently asked questions

How accurate are people counting sensors?

It scales with technology: IR break-beam and thermopile units typically land within ±5–10 %, which is ample for staffing and trend decisions. AI stereo-vision and ToF counters reach up to 99.8 % bidirectional accuracy and handle groups, children and trolleys — that is the tier to buy when conversion rate is the KPI.

Are they GDPR compliant?

The battery tiers are anonymous by physics — beams and heat, no optics capable of identifying anyone. The AI vision tier processes video on the device and transmits only count data; no images are stored or streamed. Both approaches sit comfortably within ICO guidance for footfall analytics.

Battery or PoE — which should we buy?

Battery LoRaWAN if you want zero-cabling installs, multi-year life and are happy with trend-grade accuracy. PoE AI vision if the number feeds financial metrics. Most estates run both: AI on the main doors, battery on secondary entrances and internal zones.

Can we measure capture rate — passers-by versus entries?

Yes: put a storefront footfall sensor on the window facing the street and an entrance counter on the door. The ratio of entries to passing traffic is your capture rate, and it is the single best measure of whether window displays and frontage changes actually work.

Know your footfall by next week

Tell us your entrance count and ceiling heights and we will spec the right people counting sensors per doorway with volume pricing — quote within one working day.

Next step

Scope it with an engineer.

Tell us the site, the assets and the constraint. You get a bill of materials and a straight answer within one working day.

  • A bill of materials sized to your site
  • Priced ex VAT, UK entity, no login wall

Rather talk it through? Call 023 9223 3611

How many sites is it for?
Roughly how many sensors or points to monitor?
When do you need it?

Answered within one working day