Measure footfall, optimise sales conversion
Visualise traffic flow for tenant rental justification
Measure space utilisation and booking system
Patrons counting, measure facility usage to justify funding
Demand-based cleaning management system
Automated passenger counting system
Pedestrian and vehicle counting system
Visitor counting and exhibit engagement
Highest Accuracy
Up to 99.5% Accuracy with Video Proofs
Combining 3D image processing, AI analytics and advanced tracking algorithms to achieve up to 99.5% accuracy, even in challenging environments.
As each installation environment is unique, FootfallCam specialists will calibrate each device to ensure it has the appropriate settings and manually audit the accuracy of each counter by comparing the system counts to manual counts. This process results in the generation of an accuracy audit certificate, along with video evidence to support the verified system accuracy.
Enterprise Class Software
A software analytics platform for people counters and IoT devices
Learn MoreOur people counter software is a ready made module designed with IT and business collaboration in mind. Modularised for rapid results, managers will be able to use its legible data to make informed business decisions. The FootfallCam Analytic Manager is a centralised management system available on FootfallCam cloud server, and a lifetime license is made available for all users free of charge.
Utilising people counting data through a prescriptive dashboard and comprehensive reporting allows shopping malls to optimise their operations and enhance the shopping experience for customers. By accessing over 10+ different reports, mall operators gain better visibility into zone performance levels, allowing for data-driven decisions that improve resource allocation, tenant rental rates, and overall profitability.
Mall operators can quickly identify and respond to issues such as overcrowding, queue formation, or equipment failure using this technology. Real-time monitoring provides a current view of footfall traffic and allows operators to make timely decisions to optimise mall operations and improve customer experience. Additionally, alerts can be set up to notify operators of abnormal or suspicious behaviour, enabling swift action to ensure shopper and staff safety and security.
Automated system alert to ensure data uptime.
Intuitive interface to integrate with any third party data platform.
Built in support module to raise issues directly to FootfallCam.
Multiple user access levels, with Single Sign-On and Active Directory.
Automate the sending of reports to different stakeholders.
Over 15 different languages available for users from different countries.
Operation Optimisation with Footfall
Supercharge footfall data with AI analytics
At FootfallCam, we go beyond just providing footfall data. Our advanced technology harnesses the power of machine learning and AI analytics to supercharge your footfall data, offering intelligent recommendations based on a comprehensive range of data sources including sales, staff, and stores. Our vision is to seamlessly integrate into your retail DNA, empowering you to optimise operational efficiency, automate workflows, and unlock the full potential of your business. With our platform, you can streamline processes, set defined key performance indicators (KPIs), and conduct service level agreement (SLA) reviews, ensuring maximum efficiency and success.
Maintenance & Reliability
Maximise operation efficiency with our reliable products
Security
Privacy Statement DocumentPeople counters are installed downwards facing the ground – does not capture the entirety of the customer & unable to pick up facial features. Videos are recorded only for verification purposes and taken in low resolution. The videos will be deleted once verification is completed. View video on different privacy mode here. FootfallCam uses 3D depth map instead of video images for counting purposes – data collected are non-visual and are will not be able to be identify with any individuals. FootfallCam is compliant of GDPR. More information can be found here.
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