People Counting & Foot Traffic Analytics

Know Exactly Who Walks Through Your Door — And What They Do Next

Accurate, real-time people counting and foot traffic analytics for retail stores, shopping malls, events venues, and corporate buildings across Kenya

The Problem We Solve

You cannot improve what you cannot measure. Retail stores make staffing decisions based on intuition rather than data. Mall managers negotiate leases without objective foot traffic numbers. Event organisers estimate attendance instead of counting it. Corporate facilities lack the occupancy data needed for space planning and safety compliance.

People counting technology solves this by providing accurate, automated visitor counts at every entrance, zone, and transition point. When combined with POS data, the result is a powerful conversion analytics engine: not just how many people visited, but how many bought — and why the rest did not.

How It Works

Sensor Installation

Compact, ceiling-mounted sensors are installed above entrances, aisles, or zones. We use 3D stereo vision and infrared sensors that work in all lighting conditions and distinguish between adults, children, groups, and staff.

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Data Collection

Sensors count every entry and exit in real time, recording timestamps, direction, and dwell time. Data is transmitted to a central platform via your existing network.

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Analytics Dashboard

View hourly, daily, weekly, and seasonal traffic patterns on an intuitive dashboard. Set benchmarks, compare locations, and receive automated reports.

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Actionable Insights

Combine foot traffic data with sales data to calculate conversion rates. Identify peak hours, optimise staffing schedules, measure marketing campaign impact, and benchmark store performance

Key Features

Accuracy above 98%

3D stereo vision eliminates shadows, reflections, and double-counting.

Real-Time Dashboard

Live occupancy numbers and historical trend analysis.

Multi-Site Support

Compare performance across locations from a single platform

POS Integration

Combine traffic and transaction data for conversion analytics

Privacy by Design

Our sensors count, they do not identify. No facial recognition, no personal data stored.

Use Cases

Retail Stores & Shopping Malls

Measure store-level and zone-level traffic to understand customer flow. Calculate conversion rates by combining visitor counts with POS transaction data. Optimise staffing by scheduling more team members during peak traffic hours. Benchmark performance across multiple locations.

Events & Conferences

Monitor real-time attendance for capacity management and safety compliance. Track session-level attendance at conferences. Generate post-event reports with accurate attendee numbers for sponsors and stakeholders.

Corporate & Office Buildings

Track workspace utilisation for space planning decisions. Monitor meeting room usage. Support occupancy compliance requirements and optimise energy costs by understanding when and where people are in the building.

Frequently Asked Questions

Our 3D stereo vision sensors achieve accuracy rates above 98% in typical retail and event environments. Accuracy is validated during installation with a calibration walkthrough.

No. Our people counting sensors use depth-sensing technology to detect movement and direction. They do not capture images, record video, or perform any facial recognition. Privacy is built in by design.

Yes. We provide API integrations and data export options that connect with most POS platforms. This enables conversion rate calculation: the percentage of visitors who make a purchase.

This depends on the number and width of entrances and the level of zone-level detail required. During our site survey, we map your space and recommend the optimal sensor layout.

Get Started

Contact our team and Book a Site Survey.