ST and Schneider: counting people in large spaces with Artificial Intelligence

The two companies have collaborated to integrate Artificial Intelligence (AI) into a high-performance sensor for people counting in large spaces with multiple access points

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Schneider Electric ST mall pixabay

STMicroelectronics e Schneider Electric have demoed a prototypical IoT sensor that enables new building management services and enables efficiency improvements through the ability to measure attendance and assess the usage of a building. The two companies collaborated to integrate Artificial Intelligence (AI) into a high-performance people-counting sensor to overcome the challenges of monitoring attendance in large spaces with multiple access points.

With the system for digitizing the number of presences in a building, Schneider continues in its mission to offer itself as a digital partner to its customers for sustainability and efficiency, supporting, as in this case, intelligent building management while fully respecting the privacy of individuals. The sophisticated IoT sensor was developed by combining the knowledge of ST's AI group and Schneider Electric's expertise in sensor application. This made it possible to identify a high-performance neural network capable of detecting objects and integrate it into a small microcontroller (MCU). Schneider Electric's design productivity gains are the result of using the STM32Cube.AI design tools, which offer proven and valuable resources for developing AI applications with the STM32 microcontroller portfolio.

Technology developed by ST and Schneider Electric

The prototype people counting sensor includes a thermal imaging system from the LYNRED ThermEye family, integrated into an architecture created by Schneider Electric, along with a Neural Network model based on Yolo and implemented on ST'snew STM32H723 microcontroller.

"This promising technology paves the way for a new solution for monitoring attendance and counting people in applications such as queue analysis, building utilization, and social distancing," said Maxime Loidreau, IoT Sensors Program Manager at Schneider Electric. There are several segments where it can be applied: hotels, offices, and retail spaces."

Miguel Castro, AI Solutions Business Line Manager at STMicroelectronics , added: "This project illustrates the power of deep learning techniques to improve the data processing performance of embedded systems. It also demonstrates that high-value applications can be integrated within a cost-effective, microcontroller-based platform . Our STM32Cube.AI ecosystem allows users to create flexible solutions that take a very short time to go from design to commercial product."

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