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People Counting System for Retail Stores
FootfallCam people counting system helps retailers to have a better understanding of their store traffic, improve sales conversions and measure the effectiveness of marketing events.
Download BrochureUnderstand Your Store Traffic
FootfallCam helps businesses to track the footfall traffics across multiple stores, evaluate the performance of your store compared to similar retail stores by benchmarking your sales opportunities with the industry average, utilise the business metrics to identify top and least performing stores and use this as a base point to improve your business as well as optimise the staff allocation.

People Counting for Retail Stores
Present the sales conversion rate with confidence to store managers, ensuring that the in/out counting of the visitor traffic does not include staff, children, trolleys or hovering passers-by. With the latest AI recognition built-in, any staff wearing a FootfallCam Staff Exclusion Tag will be excluded from the counting automatically.
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Demographic Profiling
The in-depth visitor demographic analysis helps businesses to have a better profiling of their visitors by categorising the visitors into different age groups and genders, measuring the frequency of visits to the stores as well as gaining the insights on how long do the visitors spend in the store, which helps businesses to optimise marketing activities tailored to different types of potential customers.
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Suitable for all Store Environments
Combining the powerful processing unit and the advanced video counting algorithms, FootfallCam people counter is optimised to count accurately under all lighting conditions and challenging scenarios, including strong shadow, low light condition and entrance with swinging doors.. Equipped with dual fish eye lens, the people counter has the widest coverage in the industry, in which it significantly reduce the number of people counters required for stores with wide entrances with different ceiling heights.
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Enterprise Class Software Platform
FootfallCam Analytics Manager V8™ provides the full analysis of traffic data for individual stores and across multiple store locations. With the readily available report templates, it helps businesses to gain visibility on the overall footfall trend of each store and their operation efficiency, together with the flexibility of exporting the data and reports to third party Business Intelligence (BI) system.
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People Counting for Retail Stores

Measure
Measure the number of visitors at the store entrance. Get informed on the number of visitors in/out of the store.

Action
Visualise the footfall trend in real time with live dashboard for operation review and perform necessary actions in real time.

Review
Evaluate the monthly footfall trend against other key business metrics for management review and decision making.
Additional Features

Sales Conversion Tracker
Create a sales target, monitor the progress, and review the sales performance. Businesses will be able to analyse the unique profiling of each store and make customised responses, to improve the sales conversion.

In-store analytics
Provides in-depth customer engagement analytics within the zone of interest of a store, to have a better understanding of the user behaviour, and identify the most and least visited areas.

Marketing Effectiveness
Track the effectiveness of marketing campaigns and identify bottlenecks while continuously optimising campaigns across every channel. Make data driven decisions for an effective marketing plan.
People Counting for Retail Stores
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People Counting for Retail Stores
Footfallcam retail store solution can help retailers to accurately collect real time in/out data of the visitors of the store. With one unit of footfall counter installed at the entrance, it is able to identify which direction shoppers first head towards when they first enter the store. Footfallcam is able to identify different objects/personnel such as trolleys, wheelchairs, kids or staff via AI Analytics technology to better reflect visitor count.
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People Counting at Entrance
Footfallcam uses advanced people counting technology that is proven to be accurate in any condition. Using stereo vision, Footfallcam is capable of accurately detecting each person during high traffic or distinguishing multiple persons when walking close to each other. It could also avoid counting people that make a U-turn when entering the store. With one unit of footfallcam installed at the store’s entrance or an area with multiple entrances, it can track the direction of the shopper first heads toward when they cross the counting zone.
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Suitable for All Environments
Footfallcam uses advanced people counting technology that is proven to be accurate in different site environments. It is perfectly designed for stores with strong shadows, low light environment, low ceiling or high ceiling to accurately collect footfall data at the entrance with the latest stereo vision technology.
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Suitable for Different Types of Entrances
Footfallcam is able to accurately detect the number of people entering and exiting the store at different types of entrances by ensuring positioning of the counter is the most idea. The counting zone and counting lines will be drawn by our specialists according to the store’s environment.
Where to buy
Company Name | Country | Contact Number | |
---|---|---|---|
FootfallCam - Head Quarters | Bridgend, United Kingdom | +44-(0) 1344 937275 | Contact Partner |
FootfallCam - South East Asia | Selangor, Malaysia | +60-(3) 9011 2413 | Contact Partner |
FootfallCam - United Kingdom | Guildford, United Kingdom | +44-(0) 1344 937275 | Contact Partner |
FootfallCam - United States of America | Orlando, United States | +1 (0) 321 320 8043 | Contact Partner |
FootfallCam - Asia Pacific | Ferry Point, Hong Kong | +852 (0) 279 43188 | Contact Partner |
Key Features
People Counting at Store Entrances
FootfallCam 3D Pro2™ people counters installed at the entrances can detect the number of people entering and exiting the premise.
Using 3D Stereoscopic Counting
Bi-directional counting
Suitable for all types of entrances for retail stores, including wide entrances
Highly accurate with up to 99.5% accuracy
Use Cases:
Understand the store traffic with footfall data collected
Identify the peak hours and non peak hours of store traffic
Measure the sales conversion rate by comparing sales data against footfall data collected
Wi-Fi Analytics
Combining the capabilities of both Wi-Fi analytics and video analytics to allow store managers to drive data action insights and make impactful changes in their operations.
Metrics Measured:
Outside Traffic - How many customers have passed by your store?
Turn in rate - How many unique customers are entering your store and What is the percentage of passersby entering your store?
Returning customer - How many customers are returning to your store?
Visit Duration - How long does an average customer stay?
Use Cases:
Determine the success rate of a marketing campaign
Measure store performance based on data-driven KPI


Heatmap - Analyse Customer Behaviour within the Store
Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store.
Reuse existing CCTVs, reduce project cost
Identify “Hot” or “Cold” zones
Measure Product Level Engagement
Create more effective localised plans and marketing strategies to better align with your customer
Visualise the Customer’s In-Store Shopping Journey
Draw Area polygon at Heatmap Dashboard to obtain heatmap analytics for area of interest
Sankey Diagram - showcase customer path within the store.
Which section of the store would they visit after passing the entrance?
How do they move between different sections of the store?

Excluding Staff from Footfall Counting
Combining Footfallcam 3D Pro2™ and 5 different staff exclusion methods, the store staffs can be identified and excluded from the traffic counting to provide a more realistic and accurate people counting data.
Key Features:
Anonymous identification of staffs
Plug-and-play, no configuration required for hardware
Cost effective and ease of deployment
Tailored for different use cases, including store staff, security personnels and delivery man.
Occupancy Control for Retail Stores
Automated system to Inform your customer whether they can enter, or they should wait via visual display at the entrance.
Automated Traffic Control
Live occupancy dashboard display
Configurable threshold and trigger alerts
Automatic door control
Instant notification when occupancy is breached via App Notification, Telegram, Email

Additional Features
Automated Alert for Staffs to Serve Customers
By combining FootfallCam 3D Pro2™ and FootfallCam App™, store managements can track the store staff performance based on their customer engagement level.
How does it work?
Counter detects a customer staying in key shopping areas for more than a fixed period of time
Automatically sends alert to all FootfallCam App™
Staff picks up the job
Staff clears the alert once they have served the customer

Staff & Client Interaction Measurement
Staff and client interaction measurement can be measured by combining FootfallCam 3D PRO 2™ and FootfallCam Staff Exclusion Tag™.
How does it work?
Counter able to differentiate between staff and customers through the wearing of FootfallCam Staff Exclusion Tag
When Staff is in close proximity with customer, customer is considered being served.
Analytics:
Total Serving Time for any staff
Average Serving Time per customer
Queue Counting
With queue counting detection and blob tracking technology, the FootfallCam 3D Pro2™ will automatically detect any form of movement and register the queuing patterns.
How does it work?
Using 3D Stereo Vision technology and 2D video analytics
Highly accurate with video proof
Suitable for covering wide areas
Field of view (FOV): 120°

Demographic Analysis
Utilising FootfallCam Centroid™, the facial features of customers can be recognised and analysed using the video stream from your existing CCTV system.
Reuse your existing CCTV system
Facial recognition with AI Video Analytics
Visitor verification, for e.g.: VIP customers , blacklisted individuals
Help businesses have a better profile of their customer base
Determine if businesses are reaching out to their target audiences
Product Engagement Analytics
Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.
Product-level Engagement Analytics by Skeleton Tracking
To identify the market response to each of the product.
To measure the sales conversion in product level.
Avoid Sales Opportunities with Empty Shelf/Rack Detection
Staffs can carry out the quick replenishment of stock based on automated alert received.
Reallocate the staff to focus on other priority tasks instead of focusing on stock level monitoring

People Counting for Store-in-Store
FootfallCam Centroid™ can be integrated with your existing CCTV system to detect the occupancy of the store area.
Using 2D Video Analytics
Measuring customer behaviour:
Real-time store occupancy - How many customers are in the store right now?
No. of passerby - How many customers are walking past the store without walking in?
In-store customer engagement - How long does a customer stay in-store?
Path tracking - Where does a customer go when they enter the store?
PA System Functionality
FootfallCam 3D Pro2™ can also integrate with in-store speakers to broadcast automated sales messages.
Connect to your PA system via audio cable, works with any standard powered speaker
Automated audio announcement based on pre-configured triggers Welcome message, Broadcast targeted marketing message and Audio alerts

Using IO Pin to Control Electric Doors
To control the number of people in the store, FootfallCam 3D Pro2™ can be integrated with electric doors via GPIO to automatically close the door when occupancy limit is breached.
Automated electric door control based on the pre-configured threshold
Using IO pins to control the NO/NC port of electric doors
Manual adjustment of occupancy data (Failsafe measure to control doors)
Small-Format Stores

People Counting at Store Entrance
The most popular and cost efficient people counting option for small format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count

People Counting at Store Entrance and Area Counting
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas with an additional people counter only.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement within an area of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for In-store shopper journey
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Stores with Wide Entrance

Stores with Wide Entrance
Suitable for retail stores with a large entrance (wider than a standard double door entrance), applicable to people counting for all formats of stores.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
3x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Medium Format Stores

Medium-format stores
The most popular and cost efficient people counting option for medium format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count

Medium-format stores
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas within the areas of interest.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
2x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics

Medium-format stores
Provides full coverage of the entire floor space to track the customer in-store journey within the store in all areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
6x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Large Format Stores

Large-format stores
The most popular and cost efficient people counting option for large format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count

Large-format stores
Multiple people counters at different entrances to provide full visibility on the traffic flow and area counting, and queue counting at checkout areas to better manage the opening/closing of checkout lanes
Uses
Measuring the number of visitors enter the store, from the main entrance or via lift or via escalator
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Identify the queue waiting time, queue length,and serving time
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
2x 3D Pro2 for entrance counting at main entrance
2x 3D Pro2 for entrance counting at lift/escalator
3x 3D Pro2 for point-of-sale display engagement tracker
3x 3D Pro2 for queue management (per checkout lane)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Queue Length
Average Queue Duration
Average Serving Duration
Store In Stores

Store in store
Provides in depth analytics on the counting of passer-bys, turn in rate and customer in-store activity tracking after the visitors entered the concession stores
Uses
Measuring the number of visitors enter the store, from the main entrance or via lift or via escalator
Passerbys monitoring
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
2x CCTV cameras for Passerbys monitoring
1x CCTV camera for In-store activity tracking
1x FootfallCam Centroid for AI Video Analytics
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Average Dwell Time
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Supermarket

Supermarket
Suitable for supermarket, hypermarket and grocery stores - footfall counting at main entrance, tracking the promotional product engagement and optimising the opening/closing of checkout lanes with footfall prediction.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Identify the queue waiting time, queue length,and serving time
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
4x 3D Pro2 for queue management (per checkout lane)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Queue Length
Average Queue Duration
Average Serving Duration
Telco Stores

Telco Stores
Understand the customer in-store shopping behavior by measuring and comparing the customer engagement rate across multiple product display areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
3x 3D Pro2 for point-of-sale display engagement tracker
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Car Showroom

Car Showroom
In-store analytics to track the customer journey within the showroom by identifying the hot and cold areas, and measure the customer-product engagement for each of the display areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
4x 3D Pro2 for Heatmap
4x 3D Pro2 for Point-of-sale display engagement tracker
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics

Case study #1 Managing Multinational Rollout
A.S Watsons is the largest pharmaceutical retailer in the APAC region, with 5 different brands and 15,000+ stores globally.
Global rollout with multi geo-region server
Work with different business units to deliver centralised solution
Supporting all countries
End-to-end project management
Work with their preferred installers or FootfallCam partners
Integrate with their BI system
Multi-language UI and supports
Case study #2 People Counting for Independent Retail Stores
Finisterre is an outdoor apparel company with 9x retail stores in the United Kingdom.
Easy to install
FootfallCam remote support
Easy to use
Analytics platform with 60+ readily available reports
Easy to maintain
Automated health check and monitoring tools
No software subscription fees


Case study #3 Luxury Retail Store
Cartier has more than 200 stores world-wide and each of the deployment are carefully designed to suit the store
Discreet and Accurate
Flush Mounted Device on the ceiling
Aligns with the aesthetics of the store
Accurate under strong lighting/ reflection environment
Sales Conversion
Lower Footfall; store services and sales conversion is crucial
Staff exclusion tags to keep sales conversion accurate
Group counting feature to accurately count potential visitors
Case study #4 Managing Retail Chains
Joules is a fashion apparel store in the United Kingdom
High Accuracy Footfall Data
Consistently accurate in all environments with video proof
Enterprise Grade Software
Integration with BI System
Multi-user management
Visibility chain-wide performance
Provide workspace for sales managers
Roll-out Management
Managing installation schedule


Case study #5 Replacing Incumbent System
Pandora with more than 6,700 point of sale in more than 100 countries has replaced legacy Prism™ people counters with FootfallCam people counters.
Complete Business Solution
Hardware + Enterprise class software - Combining 3D counting, AI analytics and WiFi metrics
Lower Total Cost of Ownership
Competitive pricing - 30% lower than our competitors’ price
Reduced number of devices
Host Incumbent Data
Integration with existing devices
Case study #6 Store-In-Store/ Brand Concession
15x Concession Stores in the Departmental Store
Comprehensive Solution for Retail Chain
Caters even for store-in-store setup
Metrics Collected for In-store Analytics
Product-level Engagement
Store and product-level sales conversion
Area Traffic Performance
Turn in rate (Departmental store visitors that entered concession stores)
Marketing Effectiveness


Case study #7 Covid-19 Occupancy Control
Coop integrates FootfallCam with their automated door to control the access of visitors
Live Occupancy Control
Measures and manage occupancy limit
Integrated with Electronic Sliding Door
Automatically controls the access
Replaced security guard at entrance
Quick Deployment and Setup
Helps re-opening stores to be compliance with local government policy on the occupancy limit per store
Case study #8 Telecommunication Shops
Wind installed 950x devices installed in 2 months of deployments
Product Engagement
Measure the engagement of visitors with the products in terms of dwell time, heat map, touch point analysis
Returning Customers
Gauge the effectiveness of loyalty programs on store level
Visitors to service subscription conversion
Measure KPI of employees service level
Set target for employees


Case study #9 Large Format / Departmental Store
Metrojaya has 4 department stores and 70 specialty stores that occupy over one million square feet of floor space
Door Counting
Footfall-to-staff ratio
Marketing effectiveness
Staff planning
Zone Analytics
Reduced Number of Devices using Wi-Fi Counting
Flow Statistic
Service Desk Counting
Queue Counting
Cashier/till opening prediction based on footfall changes
Case study #10 Showroom & Experience Centre
Amway experience centre is fully equipped with FootfallCam for comprehensive in-store analytics
Comprehensive in-store analytics
People Counting + WiFi Analytics
Queue Counting
Meeting Room Utilisation
Tracking Customer Journey within Centre
Traffic Flow across multiple areas and floors
Product touch-point analytics
Heat Map
Business Insights and Workspace
Consultation tables utilisation and its conversion
Product-level sales conversion
Visit duration of “hot” and “cold” areas


Case study #11 Car Showroom
Toyota Showroom equipped with FootfallCam.
Track Visitor Behaviour
Real-time People Counting
Staff Exclusion
Customer Arrival Alerts
Group Counting
Product Engagement Workspace
Overview of Store Performance
Set Store Targets and Measure Progress
Measure Product Engagement
Past vs New Car Model Comparison
Dwell Time
Heat Maps
Consultation tables utilisation and conversion rates