Library People Counter & Visitor Analytics

What a library should measure

• Visits: entries by hour, day and month for each branch or building, the core figure for annual statistics.
• Occupancy: entries minus exits for reading rooms and study spaces, when every entrance to the space is covered.
• Zone use and dwell: how children’s areas, quiet study zones, computer areas and exhibition spaces are used, and for how long.
• Service-desk queues: when waiting builds at enquiry or loan desks, where the queue licence is selected.
• Events: attendance at talks, classes and story times held in defined rooms.

Write a short counting method before rollout: whether you report entries or entries plus exits, how staff and volunteers are handled, and which periods you compare. Validate each door against a manual reference count before publishing figures.

Which V-Count sensor fits each library space

Nano AI for library entrances

Nano AI uses 3D active stereo vision and on-device AI to count people in both directions with up to 99% accuracy, and it counts a group arriving together as individuals. It mounts between 2.2 m and 7 m, looks straight down at the doorway, and its built-in IR LEDs keep it counting in total darkness for late openings or unlit lobbies.

One unit normally covers a standard double-door entrance. It runs on 5 V USB-C power, with an optional PoE splitter, and connects over Wi-Fi. Staff and volunteer exclusion by lanyard, shoulder tag or mobile app is available with the selected licence.

Nano Prime for reading rooms and open floors

Nano Prime measures zone visits, heatmaps, dwell and visitor flow across wider indoor areas. Its published coverage reference is 120 m² at a 4.5 m mounting height; final coverage depends on the ceiling, shelving and other obstructions, so each zone should be validated. Movement shows how a space is used, not why visitors stopped or left.

Nano Outdoor for outdoor entrances

Where a library has an outdoor courtyard, garden or external entrance, Nano Outdoor counts in an IP65 weather-resistant housing from −25 °C to +60 °C, including after dark, with up to 99% bidirectional accuracy.

Send V-Count a floor plan and photos of each entrance and space, and you receive placement advice within 24 hours. For museums and galleries, see our libraries and museums page.

Reports in BoostBI

BoostBI is V-Count’s cloud analytics platform, available on the web, in a mobile app and in 19 dashboard languages. Library managers can compare branches, view visits by hour and day, follow occupancy and zone dwell, and schedule automated reports for different roles. Reporting typically refreshes every 10 minutes, or as often as every minute when real-time updating is enabled.

Loan, membership or event figures can sit alongside visits through manual data import or a scoped custom REST API project. V-Count provides REST API documentation and confirms the fields, authentication, data direction and schedule.

Privacy for readers and visitors

Nano sensors process frames inside the device and send only anonymous count events and analytics to BoostBI. No faces, images or video are stored or uploaded, and no reader is identified or linked to a library card. V-Count is ISO 27001 certified. Technical features alone do not establish regulatory compliance, so your data protection lead should review the data flows, retention, access permissions and integrations.

Pricing basics

Pricing is per sensor. Nano hardware is indicatively US$299–799 per sensor as a one-time purchase, and BoostBI is US$9–49 per sensor per month, depending on the features and volume selected. Staff exclusion, queues, heatmaps and API access are separately selectable. A lifetime hardware warranty is available with the eligible VIP subscription option. See V-Count pricing; your written quote confirms the configuration, billing term and total.