Computer vision combined with powerful sound diagnostics for real-time decision-making are some of the hallmarks of Sony Spresense with Edge Impulse’s embedded ML technology. Together, Edge Impulse and Sony bring a unique combination of solid computing performance as well as serious power efficiency that is ideal for edge computing applications.
Join our webinar to learn how to build future-proof solutions with smart sensor analysis, image processing, and data filtering. We'll show you how to collect raw data, get insight into that data using signal processing and machine learning, and deploy your ML models, ready for scale and industrial production.
Jenny Plunkett is a Texas Longhorn and software engineer, working as a User Success Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for the Pelion device management platform.
About the Hardware
Sony Spresense Main Board
The Spresense microcontroller board enables edge solutions with high computing ability and low power consumption, making this platform ideal for professional industrial AI applications.
Arm® Cortex®-M4F x 6 core CPU
156 MHz Maximum clock frequency
8MB Flash memory
GPIO, SPI, I2C, UART & I2S digital input/output
2ch (0.7V range) analog input
Embedded GNSS with support for GPS, QZSS, GLONASS, WAAS & QZSS