AI-Powered Footfall Counting & Analytics
People Counter
Enterprise-grade AI people counters with 98%+ accuracy. Count visitors, measure footfall, analyse conversion rates, and optimise operations across every location with privacy-first technology that works in any environment.
Find your solution
People Counting for Your Industry
Different industries need different insights from their footfall data. Choose your path for tailored information.
The foundation of visitor analytics
Why Accurate People Counting Matters
In today's data-driven economy, understanding who visits your locations and how they move through your space is essential for competitive advantage. Yet many businesses still rely on outdated sensors that miss 20-30% of visitors.
You cannot calculate true conversion unless you know actual visitor count. An 80% accurate count produces a 20% error in conversion calculations, distorting every downstream decision.
Payroll is typically 20-30% of retail operating expenses. Even small scheduling improvements from accurate traffic data drive significant savings across your estate.
For retail chains, the difference between 85% and 90% occupancy cost is massive across multiple locations. Accurate traffic data helps justify or renegotiate lease terms.
Understanding customer traffic patterns reveals competitive positioning and opportunities. Know your share of foot traffic and benchmark performance against the market.
Site selection for new locations depends on foot traffic data. Poor data leads to poor site decisions that cost millions over the lifetime of a lease.
Understanding when and how customers visit physical locations helps optimise omnichannel experiences, bridging the gap between online and offline data.
Real-time occupancy monitoring ensures fire-code compliance, manages crowd density for safety, and provides auditable records for licensing and insurance.
Measure the real impact of campaigns on store traffic. Compare footfall before, during, and after promotions to quantify ROI and reallocate budget to the highest-performing initiatives.
Technology comparison
How People Counting Technologies Compare
Several technologies claim to count people. Understanding the differences is critical to selecting the right footfall counter.
Accuracy
70-80%
Best for
Basic single-doorway retail
Limitations
- •Cannot distinguish groups from individuals
- •Sensitive to wind and sunlight
- •No directional accuracy
- •Cannot detect stationary people
Accuracy
75-85%
Best for
Indoor controlled environments
Limitations
- •Struggles with grouped people
- •Temperature fluctuations affect accuracy
- •Poor outdoor performance
- •No behavioral data
Accuracy
30-50%
Best for
Repeat visitor pattern analysis
Limitations
- •Only counts smartphone users
- •Significant GDPR concerns
- •Cannot distinguish multiple devices per person
- •Dependent on network strength
Accuracy
95-98%
Best for
Enterprise deployments requiring precision
Advantages
- ✓Works in all lighting conditions
- ✓Distinguishes overlapping groups
- ✓Behavioural data including dwell time
- ✓GDPR/CCPA compliant by design
- ✓Scalable across locations
Limitations
- •Requires overhead sight lines
- •Higher initial investment
Why 98%+ accuracy
Counting based on journey prediction, not simple line crossings
Most people counters fire a +1 the instant something crosses a beam or line. That's fast — but it's also why they overcount. Hoxton works differently: it uses an overhead view to recognise a complete in-view journey and only counts when the journey matches a real entry or exit.
Traditional counters
A single trigger = a count, every time the line is crossed.
- ●Security guard pacing near the doorway? Counted repeatedly.
- ●Customer steps in, hesitates, turns back out? Often counted twice.
- ●Staff working near the entrance? Every pass inflates the number.
Result: counts drift upward anytime there's “doorway noise”.
Hoxton AI directional event counting
A count is only created when the system confirms a genuine entry/exit event.
- ●Understands a person's in-view journey from arrival to departure.
- ●Someone loops, pauses, or changes their mind? No false extra counts.
- ●A count only registers when they arrive on one side and leave on the other — a real entry or exit.
Result: accurate footfall that matches what actually happened, not how many times a line was crossed.
How directional event and journey prediction works
Detect
Person enters the field of view
A person is detected as they arrive in the overhead zone.
Interpret
Movement is understood in context
The system evaluates whether the movement indicates entering, exiting, or lingering/turning back (including loops and hesitation).
Confirm
Count only when the journey is complete
A count is recorded only when the person leaves the zone in the opposite direction — confirming a true entry/exit event, once.
Privacy-first by design
How AI People Counting Works
AI-powered systems understand context, not just physics. They detect groups, derive average dwell time, and adapt to changing conditions — all while preserving complete visitor privacy.
Camera Captures
High-resolution overhead cameras capture and anonymise images on-device — no personal data is ever collected or stored.
AI Processes in the Cloud
Anonymised images are sent to the cloud where deep learning models identify and count individuals in real time. Images are then deleted.
Data Extracted
Counting data and dwell times are extracted and sent to your dashboard and integrations.
Privacy Preserved
Anonymised images are processed in the cloud and deleted immediately. No personal data ever leaves the sensor. GDPR and CCPA compliant by design.
What matters
Core Footfall Analytics Metrics
Understanding the key metrics ensures you focus on what drives business results — from volume and timing to conversion and spatial analysis.
Total visitors entering your location. Track daily, weekly, and monthly trends with year-over-year growth and same-store correlation.
- Daily / weekly / monthly trends
- Year-over-year growth
- Entry vs. exit directional accuracy
Identify highest-traffic periods to align staffing and inventory. Measure average dwell time to gauge engagement across your locations.
- Peak hour identification
- Average dwell time per location
- Multi-entrance flow analysis
Calculate true conversion (transactions / footfall) to focus improvement where it matters. Break down by time period, shift, and promotion.
- Store conversion rate
- Conversion by hour & manager
- Promotional lift measurement
Track footfall across multiple zones with entry/exit counting at each doorway. Understand visitor flow between areas and identify your busiest spaces.
- Entry, exit & zone-level counting
- Directional flow tracking
- Multi-entrance aggregation
Real-time understanding of how many people are currently in your location. Monitor peak density for safety compliance and experience optimisation.
- Current occupancy count
- Peak density monitoring
- Fire-code compliance alerts
Hoxton Analytics Dashboard
Your Footfall Intelligence Command Centre
Footfall analytics is only valuable when presented in a way that drives action. Our people counting hardware feeds directly into the Hoxton platform, transforming raw counts into visual intelligence.
See current visitors, cumulative daily footfall, day-over-day comparisons, top zones, peak-time forecasting, and staffing alerts — all at a glance.
Combine footfall with POS data to see store conversion rate, conversion by hour, by shift manager, and by promotion — with trend lines over time.
Monitor real-time occupancy across individual zones, rooms, and floors. Track entry and exit at each doorway independently for a full picture of visitor flow.
Estate-level trends, location performance ranking, peer benchmarking, regional market analysis, and rollout tracking across your entire portfolio.
Industries served
People Counting Across Every Sector
From high-street retail to transport hubs, accurate visitor data drives smarter decisions everywhere people gather.
Track conversion rates, benchmark store performance, optimise staffing, and measure promotional effectiveness across your estate.
Retail people countersCapacity management, zone-level occupancy tracking, experience optimisation, dynamic pricing, and accessibility compliance monitoring.
Venue people countersEstate-level traffic trending, tenant performance comparison, marketing ROI measurement, and competitive leakage analysis.
View case studiesReal-time capacity monitoring, platform utilisation optimisation, passenger flow forecasting, and emergency evacuation planning.
View case studiesSpace utilisation tracking, capacity planning for hybrid workforce, meeting room occupancy, and sustainability metrics for rightsizing spaces.
View case studiesLobby and common area occupancy, F&B capacity planning, staffing optimisation, guest experience monitoring, and facility maintenance scheduling.
View case studiesThe Hoxton difference
Why Hoxton's AI Footfall Counter Leads the Market
We've invested heavily in computer vision and deep learning technology specifically designed for people counting. Our approach differs fundamentally from traditional sensors.
Our AI models are trained on hundreds of thousands of video samples representing diverse scenarios: crowded peak hours, groups walking together, wheelchairs, strollers, and more.
Images are anonymised on-device before cloud processing, then deleted. No personal data ever leaves the sensor. Fully GDPR and CCPA compliant with encrypted connections and role-based access controls.
Single-location deployment typically takes 1-2 days. Our setup wizard guides you through the process step-by-step, with 15-minute sensor deployment.
Connect directly to Shopify, Square, and other POS systems to calculate real-time conversion rates. Pre-built integrations and a robust API.
A unified dashboard shows footfall across your entire estate. Real-time alerts, custom reporting, and data exports in CSV, JSON, or via API.
Beyond counting, derive average dwell time, directional flow, occupancy trends, and peak period identification — transforming footfall into actionable intelligence.
Connected ecosystem
Integration Capabilities
A modern people counter doesn't operate in isolation. It integrates with your broader business systems to deliver actionable insights and multiply ROI.
POS Integration
Connect footfall to sales for real-time conversion rates. Correlate promotions to actual traffic lift, and troubleshoot when conversion drops.
Workforce Management
Feed people counting data into scheduling software. Optimise shift patterns, alert managers to understaffing conditions, and validate labour scheduling ROI.
Business Intelligence
Build custom dashboards combining people counting with sales, inventory, and operational data. Multi-location performance dashboards and marketing impact measurement.
Digital Signage & CDP
Trigger content based on real-time occupancy, feed offline footfall into unified customer profiles, and model lifetime value with repeat-visit data.
Security & Access Control
Real-time occupancy monitoring, evacuation accountability, unauthorized access alerting, and facility utilisation trending.
Customer Analytics
Understand the customer journey end-to-end. Offline traffic feeds omnichannel analytics, attribution modeling for physical visits, and experience testing.
Return on investment
People Counter ROI: Quantifying the Business Case
The investment in an accurate people counter typically pays for itself within 6-12 months through operational improvements.
Scenario: A 25-store retail chain with average staffing of 8 people per shift.
10-15% labour cost reduction through optimised scheduling, improved customer experience during peaks, and reduced burnout and turnover.
labour cost reduction
Scenario: Accurate traffic data improves inventory planning with 5-10% reduction potential.
Reduce excess inventory in slow-moving locations, improve markdown optimisation, and reduce shrinkage through better stock management.
inventory optimisation
Scenario: Track real lift from marketing campaigns by measuring footfall before and after promotions.
Better investment decisions, proven ROI for stakeholders, and reallocation of budget to highest-performing initiatives.
marketing budget optimisation
Frequently Asked Questions
Everything you need to know about AI people counters, footfall analytics, accuracy, privacy, and implementation.
Designed in London
Small sensor. Big intelligence.
The S1 overhead sensor is designed to be installed above an entrance and is the perfect choice for most deployments. Engineered and assembled by our team in the UK — every detail is designed to disappear into your space while delivering enterprise-grade data.
Impossibly compact
Just 22.9 × 7.1 × 4.1 cm and only 260 g. Mounts flush to any ceiling and practically vanishes once installed — your customers will never know it's there.
Sips power
Powered over a single PoE ethernet cable (802.3af, 37–57 V DC, Class 2) — no separate power supply, no electrician, no fuss.
Every connection covered
PoE ethernet, standard ethernet, or Wi-Fi (2.4 GHz & 5 GHz, 802.11b/g/n/ac) — pick whatever your site already has. Swap without swapping hardware.
Privacy on-device
Images are anonymised directly on the sensor before anything leaves the device. No faces, no identifiers — ever.
15-minute install
Two screws, one cable, a guided setup wizard. From unboxing to live data in under fifteen minutes — no specialist tools required.
Designed & built in the UK
Engineered by our hardware team in London and assembled in-house. Every unit is tested, calibrated, and shipped directly from the UK.
Wide-angle variant
For larger entrances or low ceilings, the wide-angle S1 covers more area from a single mounting point.
98%+ accuracy
On-device anonymisation and cloud-based AI processing deliver enterprise-grade accuracy with complete privacy.
Ready to count with confidence?
An accurate people counter is the foundation of visitor analytics. See how AI-powered counting transforms insight at your location.