Outdoor footfall monitoring for parks, town centres, pavements and smart cities.

A device installed on streets, footpaths, bridges, or junctions that records the number of people passing through. Used by local authorities, BIDs, and transport operators to measure space usage, allocate resources, and evidence infrastructure investment.

High streets, footbridges, bus and tram interchange points, park entrances, walking and cycle paths, and smart-city street furniture.

Directional flow (in/out), hourly and daily counts, peak-period analysis, and long-term trend reporting — all accessible via a cloud dashboard and exportable for grant reports and transport-planning submissions.

Street-based units connect to lamp posts or street furniture. Remote locations use solar-powered kits or long-life battery models. 4G versions transmit live data without local infrastructure.

Yes. Multi-modal radar and infrared sensors can be configured to count each travel mode separately — essential for shared-use path reporting and active-travel funding bids.

A sensor that records the number of people entering or passing through a physical location. Retailers use the data to calculate conversion rates, optimise staffing, measure campaign impact, and benchmark across branches.

Total visitor count, conversion rate (sales ÷ footfall), dwell time, peak hours, and multi-site benchmarking.

Infrared beam counters: 80–90% — insufficient for conversion analytics. AI-powered 3D vision sensors: up to 99%, with staff exclusion and group counting. Below 95% accuracy introduces compounding errors in conversion-rate data.

Real-time cloud dashboard (web and mobile), automated reports, and an open API integrating with POS, Power BI, Tableau, and CRM platforms.

Entry-level beam devices start under £100 but aren't suitable for analytics. Professional AI sensor systems are priced per entrance on a SaaS subscription covering hardware, software, installation, and support. Equipment-as-a-Service (monthly fee) models are also available.

A weatherproof sensor outside a building or on a street that measures pedestrian volume passing by or entering a space. Retailers use it to calculate capture rate — the share of passers-by who enter the store — a key KPI for signage, window display, and promotion performance.

Capture rate = store entries ÷ total passerby footfall × 100. If 1,000 people pass and 150 enter, capture rate is 15%. Without an outdoor counter, this calculation is impossible.

IP67/IP68 weatherproofing, operating range of −20°C to +65°C, sunlight/glare resistance, vandal-resistant housing, and 4G or LoRaWAN connectivity for sites without Wi-Fi.

Yes. Battery-powered portable units deploy quickly with no permanent installation — ideal for pop-up events, town-centre campaigns, or planning consultations.

Compliant sensors count anonymous movement events using radar, infrared, or on-device AI — no images or personal data collected. Fully aligned with UK GDPR and ICO guidance on public-space surveillance.

A battery or solar-powered weatherproof sensor installed at park entrances, trail gates, or path access points to record visitor numbers. Used by local authorities, National Parks, and green-space managers for maintenance planning, seasonal staffing, and funding evidence.

Battery models run up to two years on AA batteries, storing data locally. A handheld wireless collector retrieves data on-site. Solar + 4G versions deliver real-time data with no manual collection.

Objective, time-stamped footfall data is required by funders including Sport England, Natural England, UKSPF, and local-authority green-space budgets. Hourly, seasonal, and year-on-year trends provide the evidence base that emotion-based arguments cannot.

Radar sensors cover up to ~100 m² and support multiple counting lines for junctions or multi-path entrances. Networks of sensors consolidate into one dashboard.

Yes. Multi-modal counters produce separate counts for pedestrians and cyclists on shared paths — directly supporting Local Transport Plans and Active Travel England funding reports.