Arrow Electronics has rolled out a thermal sensing solution, powered by STMicroelectronics (STM)’ X-CUBE AI.
The integrated solution is designed to help engineers and product designers rapidly combine AI and thermal sensing technologies for developing smart, reliable, and affordable health monitoring devices.
“The Arrow team has done a great job in developing this integrated solution. This solution takes full advantage of AI techniques on STMicroelectronics microcontrollers and sensors thanks to STM32Cube.AI, a complete development ecosystem from STMicroelectronics that allows easy implementation of complex AI models onto STMicroelectronics products. The integrated solution allows product engineers to rapidly integrate AI and thermal-sensing technology and accelerate the product development cycle of smart, reliable and low-cost temperature-sensing devices, addressing the consumer-grade and healthcare market needs,” said Matteo Maravita, head of APAC AI Competence Centre of STMicroelectronics.
“Many product engineers find it challenging to deploy AI models in a cost-efficient and robust way to a wide range of consumer-grade, healthcare, and IoT edge devices. This AI-enhanced solution with STM32 Arm® Cortex®-M-based microcontrollers offers a pricing advantage and delivers better energy efficiency, making it easier to bring to market the kind of intelligent devices that help individuals and communities stay safe,” said Jacky Wan, Arrow’s vice president of engineering for APAC.
This integrated solution optimizes bill-of-materials and simplifies hardware and software integration, making it a good choice to deploy for temperature-screening devices, and a wide variety of other consumer-grade and healthcare applications.
Arrow AI-powered thermal sensing solution can achieve a quick and accurate temperature screening, with multiple individuals screened simultaneously.
This special denoise process runs on a convolutional neural network (CNN). With the STMicroelectronics’ AI expansion pack – STM32Cube.AI, the deep-learning algorithm can be exported and executed on STM32 Arm® Cortex®-M-based microcontrollers. The solution can detect target object distance and human presence. Images can be displayed in a heat map or RGB format.