TL;DR:
- Infineon collaborates with Edge Impulse to enhance Tiny Machine Learning-based AI development tools for PSoC™ 63 Bluetooth® LE microcontroller.
- Developers can now build edge Machine Learning (ML) applications using the Edge Impulse Studio environment for deployment on PSoC 63 Bluetooth LE MCUs.
- The partnership provides customers with more flexibility and choice in developing and configuring ML applications for PSoC 63 Bluetooth LE MCU devices.
- Infineon’s PSoC 63 Bluetooth LE MCUs offer high-performance Arm® CPU, low-power connectivity, and a rich suite of peripheral options.
- Edge Impulse’s platform simplifies the entire process of data collection, algorithm design, model validation, and deployment to edge targets like PSoC 63 Bluetooth LE MCU.
Main AI News:
Infineon Technologies, a leading semiconductor solutions provider, has joined forces with Edge Impulse to enhance its Tiny Machine Learning-based AI development tools for the PSoC™ 63 Bluetooth® LE microcontroller (MCU). This collaboration empowers developers of AI-enabled IoT applications to create edge Machine Learning (ML) applications using the versatile Edge Impulse Studio environment. These applications can be deployed on high-performance, low-power PSoC 63 Bluetooth LE MCUs, offering customers increased flexibility and a wider choice of platforms.
The PSoC 63 Bluetooth LE MCU devices from Infineon provide exceptional features, including a powerful 150-MHz Arm® CPU performance, low-power connectivity, and a comprehensive suite of peripheral options. For instance, by utilizing the CY8CKIT-062-BLE Pioneer Kit along with the E-Ink Display Shield Board (CY8CKIT-028-EPD), developers can integrate an inertial measurement unit, microphone, and temperature sensor. This combination enables the collection of real-world sensor data for processing by Tiny Machine Learning-based AI models, which are optimized for low-power, cost-effective edge IoT environments.
The PSoC 63 Bluetooth LE MCU devices are equipped with a dual-core Arm® Cortex®-M4F and Arm Cortex-M0+ chip architecture, Bluetooth LE 5.2, configurable voltage and frequency settings, built-in hardware-based security, state-of-the-art capacitive interfaces, and more. With its exceptional capabilities, including being the only 150 MHz Bluetooth LE MCU available, this variant of the Infineon PSoC device family is an ideal choice for edge IoT applications that require advanced ML algorithms.
Edge Impulse’s innovative products streamline the entire process of data collection, structuring, algorithm design using pre-built building blocks, model validation with real-time data, and deployment of fully optimized production-ready results to edge targets such as the PSoC 63 Bluetooth LE MCU.
Shantanu Bhalerao, Vice President of the Bluetooth Product Line at Infineon, expressed his enthusiasm about the collaboration, stating, “By partnering with Edge Impulse on the PSoC 63 Bluetooth LE MCU, Infineon enables its customers to accelerate the development of their own AI/ML models for embedded use cases. We are dedicated to empowering our customers with the choice to develop customized AI/ML solutions or utilize a range of predefined models available from Infineon and our esteemed partners. We are excited to welcome Edge Impulse to our growing network of partners and look forward to collaborating with our extensive group of AI/ML partners that complement our offerings.“
Zach Shelby, CEO and co-founder of Edge Impulse, highlighted the advantages of the PSoC 63 Bluetooth LE MCU, saying, “With its advanced processing capabilities and low power consumption, the PSoC 63 Bluetooth LE MCU is an ideal platform for the next generation of edge devices, spanning from wearables to industrial monitoring. When combined with the Edge Impulse platform, embedded developers can expedite the development and deployment of powerful solutions for a wide range of edge ML applications.”
Conclusion:
The collaboration between Infineon and Edge Impulse signifies a significant development in the market for AI-enabled IoT applications. By expanding the edge AI capabilities for Bluetooth customers, Infineon provides developers with advanced tools and a wider choice of platforms to build and deploy ML applications. This partnership not only empowers developers but also accelerates the adoption of AI/ML technologies in the IoT domain. With Infineon’s powerful PSoC 63 Bluetooth LE MCUs and Edge Impulse’s streamlined platform, the market can expect increased innovation and efficiency in edge ML applications for various industries, from wearables to industrial monitoring.
