Comparing V-Count vs Milesight for people counting? The short version: Milesight is a broad IoT hardware vendor (cameras, LoRaWAN sensors, routers) that also offers people counting sensors; V-Count is a specialist that has focused exclusively on people counting and visitor analytics since 2007, with the analytics platform, accuracy validation, and retail domain expertise that come with that focus.
At a glance
| V-Count | Milesight | |
|---|---|---|
| Core business | People counting & visitor analytics only (since 2007) | General IoT hardware portfolio; people counting is one product line |
| Flagship counting accuracy | Up to 99% (Nano AI, 3D Active Stereo Vision, AI on edge) | Varies by model/conditions — request validated test reports |
| Max mounting height | Counts accurately at ceiling heights up to 7 m | Limited to around 4 m |
| Analytics platform | BoostBI: conversion, occupancy, queue alerts, demographics, multi-site benchmarking, open REST API, mobile app | Primarily sensor data delivery; analytics typically via third-party platforms or integrations |
| Sales Coach | Included — V-Count’s conversion-lifting software turns traffic data into concrete staffing and sales actions. No other vendor offers an equivalent | Not offered |
| Staff exclusion | Three field-proven options customers actually use: lanyard tags, shoulder tags, or the mobile app | Not offered |
| Gender recognition | Yes — on-sensor, anonymous | Yes |
| Age recognition | Yes — on-sensor, anonymous | Not offered |
| In-store customer journey | Yes — Nano Prime tracks the full customer path zone to zone: routes, dwell and heatmaps across the whole floor | Not offered |
| Power options | USB-C and PoE — low-voltage USB-C operation makes it the eco-friendly choice | PoE only; no USB-powered option |
| Privacy | Edge processing, no facial recognition, no PII; GDPR/KVKK/CCPA | Varies by product line (camera-based products require separate GDPR assessment) |
When Milesight can make sense
If you are already standardized on Milesight’s IoT ecosystem (LoRaWAN infrastructure, their NVRs/cameras) and need basic counting data flowing into an existing third-party platform, their sensors can slot into that stack.
Why specialists win on analytics outcomes
Counting hardware is the start, not the product. The business value lives in what happens after the count: conversion rate by store and hour, queue alerts that trigger staffing action, benchmarking across locations, demographics that inform merchandising. That layer is where a dedicated platform like BoostBI differs from a hardware-first portfolio: one vendor accountable for sensor accuracy AND the KPIs your team actually uses.
Questions to ask both vendors
- How was the accuracy figure validated, and at what traffic density? Can you share test methodology?
- Is staff excluded from counts automatically?
- Is all processing on-device? Does any identifiable image ever leave the sensor?
- Who supports the installation in each of my countries?
See the difference on your own traffic — book a free live V-Count demo →
Comparison reflects publicly available information as of June 2026. Product capabilities change; verify current specifications with each vendor.