Frequently Asked Questions

V-Count Nano AI counts crossings at defined indoor entrance lines. Its approved claim is up to 99% accuracy, with a 2.2–7 m mounting range and built-in IR LEDs supporting counting at 0 lux. Validate installed coverage, lighting, groups and traffic; test optional analytics separately. Sources: https://v-count.com/retail-people-counting-foot-traffic-analytics-2026-guide/

V-Count Nano Prime supports zone measurement, heatmaps, dwell and visitor flow with the appropriate coverage, configuration and licence. Define and validate zone boundaries. Measured movement shows where visitors travelled or stayed; it does not reveal intent or prove why they left. Sources: https://v-count.com/retail-heatmap-analytics-nano-prime/

V-Count pricing is per sensor. Selected sublicences are included in the quoted BoostBI package; API access, staff exclusion, demographics, queues and heatmaps are separately selectable. Compare the complete hardware, software, installation, integration and support quote. Sources: https://v-count.com/pricing/

Compatible V-Count sensors process measurements on device and transfer analytics outputs to the platform. Review the chosen hardware, data flows, access permissions, retention and connected systems. Deployment responsibilities remain with the relevant organisations; technical features alone do not establish regulatory compliance. Sources: https://v-count.com/retail-people-counting-foot-traffic-analytics-2026-guide/

V-Count offers three staff-exclusion methods: lanyard, shoulder tag and mobile app. Select the compatible method and licence, then test staff movements separately from total crossings. Consistent exclusion rules matter when comparing visitor counts and conversion. Sources: https://v-count.com/nano-ai-people-counting-sensor/

V-Count BoostBI has native Shopify and Nebim connectors and working integrations for VendPOS, Nayax, ImagineX and QuickBooks. Manual sales import and scoped REST API integration are available. Confirm versions, authentication, fields, mapping, data direction, timing and support. REST API documentation is available from V-Count. Sources: https://v-count.com/boostbi-retail-visitor-analytics-footfall-analytics-software-shopper-analytics-platform/

V-Count installation starts with a survey of height, field of view, obstructions, power and network access. Nano AI uses 5 V USB-C power and Wi-Fi, with an optional external PoE splitter. Other models require their own installation specifications; there is no universal installation time. Sources: https://v-count.com/nano-ai-people-counting-sensor/

Compare solutions using a representative pilot: define counting lines or zones, exclusions, coverage, reference counts, busy periods and acceptance criteria. V-Count specifications are model-specific; validate the exact installation rather than treating headline accuracy as performance for every optional report. Sources: https://v-count.com/how-to-choose-the-right-people-counting-system-provider-for-your-business/

Evaluate V-Count using the site’s baseline, costs and measurable outcome. Compare equivalent periods and record promotions, weather, opening hours and other influences. A before-and-after change does not prove causation; there is no universal guaranteed sales uplift or payback period. Sources: https://v-count.com/retail-people-counting-foot-traffic-analytics-2026-guide/

V-Count occupancy reporting needs coverage of relevant entrances and exits, an agreed baseline and checks for drift or missing data. Confirm refresh and any alert configuration. Counting does not replace venue safety procedures or determine a safe capacity threshold. Sources: https://v-count.com/boostbi-retail-visitor-analytics-footfall-analytics-software-shopper-analytics-platform/

V-Count Nano AI supports simultaneous entrance counting and gender-and-age analytics with the compatible configuration and selected licence. Validate demographic performance and operating range separately from total counting, and review processing and deployment responsibilities. Sources: https://v-count.com/gender-age-recognition/

V-Count Nano Outdoor is intended for weather-exposed counting. Choose the current model for the actual environment and validate mounting, coverage, sunlight, direction rules and peak traffic. Indoor Nano AI specifications should not be applied to an outdoor deployment. Sources: https://v-count.com/nano-outdoor-2/

A people counter is an AI-powered device that accurately counts the number of people entering and exiting a space in real-time. V-Count’s people counting sensor uses 3D Active Stereo Vision technology to deliver up to 99% accuracy, enabling businesses to optimize operations and increase revenue through retail foot traffic analytics. Sources: https://v-count.com/faq/

People counting software is a retail analytics platform that transforms raw visitor data into actionable business insights. V-Count’s BoostBI people counting software provides real-time dashboards, foot traffic analytics, conversion rate tracking, queue management, and demographic analysis for retail stores, malls, and 20+ industries. Sources: https://v-count.com/faq/

Retail foot traffic analytics help businesses increase footfall by up to 22%, decrease queue waiting times by 38%, optimize staffing, improve store conversion rates, and make data-driven decisions for marketing and operations. V-Count’s visitor counting system and retail analytics software provides these insights in real-time. Sources: https://v-count.com/faq/

V-Count’s Nano AI is ranked the #1 people counting sensor in 2026 by Infinity Business Insight. It delivers up to 99% counting accuracy using AI on Edge 3D Active Stereo Vision technology, with people counting, gender/age recognition, and staff exclusion all in one device. Sources: https://v-count.com/faq/

Yes. V-Count is the only fully GDPR-compliant people counting solution on a global scale. The Nano AI sensor processes 3D depth data without capturing personal details, and all data is processed on-device using AI on CHIP technology, making it a privacy-first visitor counting system. Sources: https://v-count.com/faq/