About
V-Count is the world's #1 AI-powered people counting and retail analytics solution, combining proprietary hardware sensors with a cloud-based analytics platform to help businesses turn foot traffic into actionable intelligence. At its core are three sensor lines — Nano AI (indoor people counting), Nano Outdoor (exterior traffic monitoring), and Nano Prime (wide-area indoor coverage) — all leveraging AI on Edge 3D vision technology for 99% counting accuracy without cloud dependency. The platform's BoostBI web and mobile SaaS dashboard aggregates data across all locations, offering real-time occupancy tracking, heatmaps and zone analytics, gender and age recognition, queue management alerts, storefront analytics, and a Retailer & Mall Traffic Index for benchmarking. Businesses can correlate foot traffic with sales data to measure conversion rates, optimize staff scheduling around peak hours, and quantify marketing ROI. V-Count supports 20+ vertical markets including retail stores, shopping malls, airports, supermarkets, hotels, hospitals, libraries, museums, theme parks, and smart office buildings. With a 24/7 analytics dashboard and global deployment in 130+ countries, it is purpose-built for enterprise-scale operations. It is trusted by 600+ industry-leading companies seeking to reduce guesswork and drive data-driven decisions across physical spaces.
Key Features
- 99% Accurate AI People Counting: Edge-based 3D vision sensors (Nano AI, Nano Outdoor, Nano Prime) count visitors with 99% accuracy across indoor and outdoor environments without reliance on cloud processing.
- BoostBI Analytics Dashboard: A web and mobile SaaS platform that consolidates foot traffic, occupancy, conversion, and demographic data across all locations in a single real-time dashboard.
- Queue Management: Monitors queue lengths and wait times in real time, enabling staff to respond proactively and improve customer experience during peak periods.
- Heatmap & Zone Analytics: Visualizes customer movement and dwell patterns within a space, identifying high-traffic zones and underperforming areas to optimize layout and merchandising.
- Gender & Age Recognition: Provides demographic analytics to help businesses tailor marketing campaigns, product placements, and staffing based on the visitor profile visiting their locations.
Use Cases
- Retail chains measuring in-store foot traffic, conversion rates, and staff scheduling efficiency to increase sales performance.
- Shopping malls benchmarking visitor counts across tenants and optimizing common area layouts using heatmap analytics.
- Airports and transportation hubs monitoring real-time passenger flow to reduce bottlenecks and improve throughput at key checkpoints.
- Smart building operators tracking occupancy in real time to manage energy consumption, space utilization, and safety compliance.
- Events and exhibition venues counting attendance, mapping visitor movement, and generating post-event traffic reports for sponsors and organizers.
Pros
- Industry-Leading Accuracy: AI on Edge 3D vision technology achieves 99% counting accuracy, significantly reducing the error margins common with traditional IR or camera-based counters.
- Massive Global Footprint: Deployed by 600+ enterprise brands across 130+ countries, demonstrating proven reliability and scalability for multi-site and international operations.
- Broad Industry Versatility: Supports 20+ verticals — from retail and malls to airports, hospitals, and smart buildings — making it applicable across diverse physical space use cases.
- Real-Time 24/7 Analytics: Live occupancy and traffic data is available around the clock via the BoostBI dashboard, enabling immediate operational decisions rather than relying on end-of-day reports.
Cons
- Hardware Installation Required: Requires purchasing and physically installing proprietary sensors at each location, which adds upfront cost and logistical complexity compared to software-only solutions.
- Enterprise-Focused Pricing: Pricing is tailored for mid-to-large enterprises; small businesses or single-location operations may find the cost prohibitive without clear self-serve pricing tiers.
- No Publicly Listed Pricing: Prospective customers must contact sales or request a demo to obtain pricing, which can slow down evaluation for buyers comparing multiple vendors.
Frequently Asked Questions
V-Count's AI on Edge 3D vision sensors achieve 99% counting accuracy. The edge-based processing means data is computed locally on the sensor rather than in the cloud, reducing latency and ensuring accuracy even in low-connectivity environments.
V-Count serves 20+ industries including retail stores, shopping malls, airports, supermarkets, hotels, hospitals, libraries, museums, theme parks, smart buildings, banks, casinos, transportation hubs, restaurants, and more.
BoostBI is V-Count's SaaS analytics platform available on web and mobile. It centralizes all sensor data into a single dashboard, offering real-time foot traffic metrics, heatmaps, conversion tracking, queue alerts, and demographic reports across multiple locations.
Yes. V-Count provides 24/7 real-time analytics through the BoostBI dashboard. Occupancy levels, queue statuses, and foot traffic counts are updated continuously, enabling live operational responses.
V-Count is trusted by 600+ enterprise companies across 130+ countries, making it one of the most widely deployed people counting and retail analytics platforms in the world.
