Infineon Technologies AG has partnered with Edge Impulse to enhance the development tools for creating and deploying machine learning models on edge AI-capable microcontrollers. The companies say the collaboration will allow customers to either build customized machine-learning models or select from a range of pre-existing models offered by Infineon and its partners.
The Infineon PSoC 63 Bluetooth LE microcontroller is a high-performance and low-power edge device that can run machine learning applications at the edge. To support this capability, Edge Impulse will provide its IoT development platform to streamline the development of next-gen robust commercial applications.
“Matched with the Edge Impulse platform, embedded developers can more quickly develop and deploy powerful solutions for an exciting range of edge ML applications,” says Zach Shelby, the CEO and co-founder of Edge Impulse.
The Infineon PSoC 63 Bluetooth LE microcontroller incorporates dual-core Arm Cortex-M4 and Arm Cortex-M0+ processors for edge computing tasks. This chipset is part of Infineon’s AIROC Bluetooth LE lineup, which ensures reliable connectivity and enables edge computing capabilities for a wide range of IoT applications.
Infineon emphasizes that the PSoC 63 Bluetooth LE microcontroller offers adjustable voltage and frequency settings, permitting users to customize them to meet specific application needs. According to the company, this hardware edge device is equipped with integrated hardware security features, ensuring robust protection for the data processing at the edge.
“By collaborating with Edge Impulse on the PSoC 63 Bluetooth LE MCU, Infineon customers can bring their solutions faster to market for embedded AI/ML use cases,” says Shantanu Bhalerao, the vice president of the Bluetooth product line at Infineon.
In a recent development, Infineon Technologies confirmed the acquisition of Imagimob AB, a Swedish firm known for its expertise in machine learning solutions for edge devices. This strategic move enhances Infineon’s capacity to deliver enhanced control and energy efficiency in its products.
Edge Impulse has been actively collaborating with embedded manufacturing companies to advance the development of edge and IoT devices. Its most recent partnership is with Particle, a provider of a development platform for machine learning. Together, they aim to support the Photon 2 hardware platform, streamlining the integration and implementation of machine learning capabilities at the edge.
AI/ML | edge AI | Edge Impulse | embedded systems | Infineon | IoT | microcontroller | TinyML