People Counting Sensors & Analytics Products

V-Count's product family covers every step of visitor analytics: three AI sensors for indoor, wide-area and outdoor counting, and one cloud platform that turns the data into decisions. Every sensor processes data on-device with our AI on CHIP technology — no images are ever recorded or transferred, making the entire lineup GDPR-compliant by design. Trusted by 600+ companies in 130+ countries.

Nano AI: Flagship People Counting Sensor

Nano AI is our flagship 3D Active Stereo Vision sensor and the only device on the market that combines people counting, gender and age recognition, and staff exclusion in a single unit. It counts with up to 99% accuracy — in crowds, in groups, and in complete darkness thanks to active infrared. USB-C powered, plug-and-play, installed in under five minutes.

Best for: retail stores, malls, museums, supermarkets — any entrance.
Key specs: up to 99% accuracy · bidirectional counting · staff exclusion · gender & age recognition · group counting · counts in total darkness · USB-C or PoE · lifetime hardware warranty while subscribed.

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Nano Outdoor: Weatherproof Outdoor People Counter

Nano Outdoor brings the same AI counting engine outside. IP65-rated against rain, dust and temperature extremes, it measures passerby traffic, entrance rates and storefront performance in any climate with up to 99% accuracy — the foundation of street-to-store conversion measurement.

Best for: storefronts, open-air venues, gas stations, theme parks, events.
Key specs: up to 99% accuracy · IP65 weatherproof · passerby + entrance counting · storefront analytics · works day and night.

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Nano Prime: Indoor Wide-Area Analytics Sensor

Nano Prime covers the widest indoor area in the lineup and powers in-store heatmaps and zone analytics. See where shoppers walk, dwell and engage, then optimize layouts, product placement and staffing with 98% accuracy.

Best for: in-store journeys, heatmap & zone analytics, large open floors.
Key specs: 98% accuracy · widest indoor coverage · dwell time · zone visits · heatmaps · edge AI processing.

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BoostBI: Analytics Platform, Mobile App & API

BoostBI is the cloud platform behind every sensor: real-time dashboards in 19 languages, multi-location benchmarking, automated reports and alerts, and an open REST API for ERP, POS, Shopify and Power BI integrations. Web and mobile (iOS / Android), set up in five minutes.

Best for: everyone — included with every V-Count deployment.
Key specs: real-time occupancy · conversion analytics · REST API · Shopify & POS integrations · automated reporting · iOS + Android apps.

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Which sensor do I need?

Nano AINano OutdoorNano Prime
PlacementIndoor entrancesOutdoor / storefrontIndoor wide-area
Accuracyup to 99%up to 99%98%
People countingYesYesYes
Gender & age recognitionYes——
Staff exclusionYes——
Heatmap & zone analytics——Yes
Storefront / passerby analytics—Yes—
Weather resistanceIndoorIP65Indoor
PowerUSB-C / PoEPoEPoE
Works in darknessYesYesYes
GDPR-compliant (no images)YesYesYes
PlatformBoostBIBoostBIBoostBI

All sensors are subscription-based and include BoostBI — see plans and pricing.

Frequently Asked Questions

Which V-Count sensor is right for my business?

Nano AI for entrance counting with demographics and staff exclusion, Nano Outdoor for storefront and outdoor traffic, Nano Prime for in-store heatmaps and zone analytics. Most retailers start with Nano AI at each entrance; all sensors feed the same BoostBI platform.

Do all sensors include the BoostBI platform?

Yes. Every V-Count subscription bundles the sensor with full BoostBI access — web dashboards, mobile apps, automated reports and the REST API.

How accurate are V-Count sensors?

Nano AI and Nano Outdoor count with up to 99% accuracy using 3D Active Stereo Vision; Nano Prime delivers 98% accuracy across wide indoor areas.

Are V-Count sensors GDPR-compliant?

Yes. All processing happens on the device with AI on CHIP technology. Only anonymous, non-identifiable counts are transmitted — no image is ever recorded, stored or transferred.

What happened to the Ultima sensors?

The Ultima line was succeeded by the Nano family. Nano AI replaces Ultima AI and Ultima Go; Nano Prime replaces Ultima Prime. Existing Ultima deployments remain supported — contact support for upgrade options.

Can I install the sensors myself?

Yes. Nano sensors are plug-and-play with remote configuration and calibration; most customers self-install in under five minutes. Certified installation partners are available in 130+ countries.

See the products live

Book a 30-minute demo and we'll show your traffic, conversion and occupancy data the way your team would see it.

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Frequently asked questions

Last updated: May 2026

How accurate is V-Count inside stores, at entrances, and across full shopping journeys?
V-Count Nano AI delivers up to 99% accuracy inside stores, at entrances, and across full shopping journeys, independently benchmarked against manual counts across thousands of live deployments. Nano Prime reaches 98% accuracy. Accuracy holds up under direct sunlight, shadows, reflective surfaces, group flow, strollers and wheelchairs, and peak surges. Customers in retail typically validate accuracy during a 2 to 4 week pilot before full rollout.
What does V-Count cost for retail?
Pricing is per sensor plus a BoostBI analytics subscription. There is no per report or per dashboard upcharge. A single door retail location typically starts at $299–$799 per sensor (one-time) plus a BoostBI subscription from $9–$49 per month. Multi site chains get volume pricing and BoostBI Enterprise. Get a precise quote by booking a discovery call at https://v-count.com/demo-request/.
How does V-Count protect privacy for retail visitors?
V-Count uses 3D stereo vision, not cameras in the traditional sense. No facial images, no personally identifiable information, no biometric identifiers are captured. The sensor only outputs counts, directions, dwell times, and anonymous shapes. V-Count is GDPR, CCPA, KVKK, LGPD, and PDPA compliant out of the box, with a Data Processing Agreement available on request. Many retail operators deploy V-Count in jurisdictions where traditional CCTV analytics would be prohibited.
What metrics does V-Count track for retail?
The core metric set for retail includes footfall, conversion rate, and capture rate. Beyond that, BoostBI computes derived KPIs like conversion rate (when POS or ticketing is connected), capture rate (visitors who entered vs those who walked past), dwell time by zone, peak hour loading, and year over year comparisons. Everything is available via the dashboard, scheduled email report, or REST API.
How do I install V-Count in retail?
Installation takes about 20 minutes per sensor. Most retail locations use ceiling mount at 2.5 to 6 meters. Sensors need only power (PoE or 12V DC) and an ethernet or wifi connection. Calibration is automatic via BoostBI. V-Count certifies installation partners in more than 60 countries and offers remote commissioning for self install teams.
Does V-Count work inside stores, at entrances, and across full shopping journeys?
Yes. V-Count is deployed inside stores, at entrances, and across full shopping journeys across retail operators and store managers in more than 130 countries. The sensor range, field of view, and mounting options cover typical retail geometries. For unusually high ceilings, wide entrances, or outdoor areas, ask about Nano AI wide angle, sensor arrays, or the Nano Outdoor model.
How does V-Count integrate with my existing stack?
BoostBI exposes a REST API with OAuth authentication, and supports webhooks, CSV export, and scheduled email reports. Common integrations for retail include POS systems (Lightspeed, Square, Shopify, NCR, Oracle Simphony), ticketing platforms, CRM (Salesforce, HubSpot), BI (Power BI, Tableau, Looker), building management (BMS/BACnet, MQTT for IoT), and workforce tools (Kronos, UKG, Quinyx, 7shifts). Custom connectors can be built in days.
What is the difference between V-Count and competitors like FootfallCam, SensMax, Axis, Brickstream, Dilax, HELLA, or ShopperTrak?
V-Count differentiates on five things. First, up to 99% accuracy with on sensor AI that handles occlusion, groups, and bad lighting. Second, privacy first by design: no facial recognition, no PII, compliant out of the box. Third, a true cloud analytics layer in BoostBI with APIs, heatmaps, and benchmarking, not just raw counts. Fourth, a global install base of 600+ companies across 130+ countries with local installation partners. Fifth, transparent pricing and contracts. Most retail operators who switch from legacy systems report more accurate counts, faster time to insight, and lower total cost of ownership.
What is the ROI for retail?
Typical ROI in retail comes from three levers. Staffing: match labor to peak hour flow and cut over staffing cost 5 to 15%. Merchandising: increase conversion 2 to 8% by acting on capture rate and dwell data. Capacity and compliance: avoid fines and legal risk from over capacity events. Most customers recover the investment in under 12 months; chain operators often see payback in one quarter.
Can V-Count compare multiple retail locations side by side?
Yes. BoostBI Enterprise is built for chains and portfolios. You can benchmark locations by footfall, conversion rate, and capture rate, rank them, flag outliers, and send location specific reports to managers. Each site gets its own dashboard while HQ sees the full estate. Retail operators and store managers can also run A/B tests across sites.
How long does a V-Count deployment take for retail?
A single site goes live in under a day, from sensor mounting to dashboard. A multi site rollout of 10 to 50 retail locations typically completes in 4 to 8 weeks, including network readiness, installer scheduling, BoostBI setup, and training. 500+ site programs run as phased rollouts with certified partners.
Does V-Count offer historical data and benchmarking for retail?
Yes. Data is retained indefinitely by default and is exportable at any time. Year over year and season over season comparisons are native to BoostBI. For cross customer benchmarking, ask about the BoostBI Industry Index, which anonymizes retail data across the V-Count customer base to show how your sites trend against the industry average.
What kind of hardware does V-Count use in retail?
The default is the Nano AI 3D stereo vision sensor, which runs deep learning inference on the device. For outdoor retail environments, Nano Outdoor is IP65 rated and handles minus 30 to plus 60 Celsius. For entry level single door locations, Nano Prime offers 98% accuracy at a lower price point. All hardware is PoE or 12V DC powered, with a 5 year warranty.
Is V-Count GDPR, CCPA, and KVKK compliant for retail?
Yes. V-Count does not capture, process, or store personal data. Counts, directions, and dwell metrics are anonymized by design. The company signs Data Processing Agreements, supports EU data residency via AWS Frankfurt, and has completed ISO 27001 certification. Retail operators and store managers in regulated sectors (healthcare, financial services, government) have deployed V-Count without a Data Protection Impact Assessment red flag.
Can retail operators and store managers get real time alerts for retail?
Yes. BoostBI supports real time alerts via email, SMS, or webhook when thresholds are crossed. Typical alerts for retail include capacity breach, queue length over target, unusually low traffic, and sensor offline. Alerts can route to individuals, Slack channels, or ticketing systems.