People Counters for Every Business
V-Count, a leader in people counting, provides a wide range of people counters for every industry and business size. Our products include the Nano, Nano AI, Ultima Go, Nano Prime, and Nano Outdoor. To help you make an informed decision on which solution best fits your needs, we invite you to request a demo now and experience firsthand how our innovative people counting technology can enhance your business operations and drive growth.
V-Count Products Feature Comparison
V-Count Products Add-on Comparison
100% Confidentialité
Confidentialité-Focused, GDPR-Ready Analytics
Experience the power of privacy and innovation with V-Count. Our solutions use Active Stereo Vision technology, which processes 3D depth data to ensure complete anonymity by never capturing personal details. With our proprietary AI on CHIP technology, data is processed on-device, transmitting only non-identifiable insights. No identifiable image is recorded or transferred at any time.
We prioritize privacy and our technology helps us comply with GDPR standards approved by leading European institutions. As the global leader in human behavior analytics, V-Count is the only fully GDPR compliant solution on a global scale.
We will send you tailor-made insights and updates relevant to your industry. Your email stays with us—privacy guaranteed.
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 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 around a few hundred euros in hardware plus a monthly BoostBI seat. 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, 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.