FootfallCam
A British company established in 2002.It was started by a team of experienced engineers with the vision of creating the most advanced people counter system
FootfallCam is a British engineering-led company specialising in people counting, people counters, and in-store analytics for retail, airports, and physical spaces. Our solutions help retailers, installers, and system integrators measure visitor flow, occupancy, dwell time, conversion, and loss prevention using accurate, scalable people counting systems. FootfallCam systems are widely used for retail analytics, retail loss prevention, and airport passenger flow management, supporting applications such as queue optimisation, staff exclusion, and operational performance analysis. We share practical insights, deployment tips, and real-world use cases to help partners and customers implement people counting with confidence. Contact: +44 (0)1344 937 275
Email: [email protected]
LinkedIn: www.linkedin.com/company/footfallcamabout/
Twitter: twitter.com/FootfallCam
Website: www.footfallcam.com/
Blog: www.footfallcam.com/blog/
24/11/2025
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Every airport has its own rhythm โ waves of travellers arriving and departing, each with different time pressures, budgets, and habits. Yet within this rhythm, restaurants and cafรฉs operate under the same constraints every day: limited preparation windows, sudden peaks driven by flight schedules, and the ever-present challenge of missed opportunities when passengers simply donโt have the time to queue.
At FootfallCam, weโve been studying this behaviour closely through our airport analytics deployments. Our latest whitepaper together with the dashboards below explore how AI vision and passenger-flow analytics can help airports and concession operators understand when and why demand surges occur, how to align preparation with flight patterns, and how small operational adjustments can improve both service and revenue โ while enhancing the traveller experience.
Whitepaper:https://www.footfallcam.com/Content/data/documents/Download-Page/Whitepapers/Airport-Restaurant-Operational-Analytics-Using-FootfallCam-AI-Vision-Technology.pdf
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