FootfallCam is a British company, started by a team of experienced engineers with the vision of creating the most advanced people counting system in the market. Through many years of research and development, FootfallCam has developed into a technologically sophisticated system with many world-first innovations.
Our core values are our dedication to engineering excellence and to delivering business values to our customers. With a team of 50 innovative and dynamic individuals, we strive to improve our system in every aspect, both hardware and software, through thousands of research and development hours. We constantly survey the market, introduce new technologies and enhance functionalities, to help our customers getting further business insights and benefit most out of the system. Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.
Coupled with our innovative approach to product development, we have successfully developed our flagship product, FootfallCam 3D Max. It is currently the
We are the first in the world that combine people counting and Wi-Fi analytics into a single device. We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.
We have worked with many companies in different industries across the world, from independent stores to multi-national retail chains, and from shopping malls to public venues and institutions. In order to translate technological excellence into real business values, we have worked closely with our customers and we will continue to do so.
Every customer is different and has different strategic goals. We assign designated engineer to work closely with each customer, helping them to understand the metrics, interpret and translate them into actionable insights. Our software suite is powerful and flexible. It allows us to customize our reports to meet each customer’s needs, turning it into a simple business intelligence tool for everyone from C-level executives to assistants at the store level.
We have combined over 100 years industry experiences in developing hardware and software of people counting solution. Having accumulated over 30, 000 research hours and evolved through many generations, we have created an aesthetic hardware and a powerful software platform.
Today, we have a team of over 50 engineers dedicated to the research and development of both hardware and software of FootfallCam. It has established itself as the global leader in people counting industry and it is our commitment to continuously invest and maintain our position in the industry.
SGBM is the most accurate 3D stereovision imaging. Combining quad-core 1.2GHz processor with 96 core GPU, it could handle the intensive computational processing required by SGBM, and could achieve 25fps with 1024x768 resolution. Kalman Filter and Hungarian Algorithm are the best person tracking algorithms available.
Combining video counting with visitors’ smartphone WiFi signals, visit duration, visit frequency and cross shopping metrics could be measured. Each smartphone carries an unique MAC address, by using statistical profiling and normalisation factor, big data set is collected and machine learning of its unique WiFi environments and visitor characterisations.
Each firmware release undergoes a rigorous firmware stress testing to ensure it reaches 100% uptime under all physical and network conditions. Our lab test consists of over 150 test cases and 60 different environments. Self diagnostic and self recovery would be activated when issue araise.
Each electronics components are sourced from the most trusted manufacturers and does not exceed 58% of its maximum capacity. Our material engineering team has created an aluminum unibody which maximise heat dissipation of up to 550% and maintains the component temperature of less than 55 Celsius. Wide Angle lens are used with Fisheye un-distortion to achieve widest stereoscopic view.
Multithreading computing algorithms are optimised to ensure consistent video analytics and WiFi data processing under various network conditions. Billions of WiFi data points are collected each hours, and processed in our cloud computing facilities to enable deep learning of patterns and profile characterisations.
Each counter is installed in an unique physical and radio environments, neural networks techniques are used to auto tune over 100 parameters to maintain 98%+ accuracy. Data mining and deep learning in the cloud servers are used to calculate the 15 key metrics presentation to customers.
Over 35% of R&D resources to used to respond to customers’ requests. Direct communication provides faster development turnover, and help to prioritise the market needs. Each bug report is logged and rigorously verified and tested by our research staff.