Prototyping platform app enables ML

Integrating a range of sensors for light, motion, sound, and environmental factors, the Thingy:53 platform provides an ideal solution for building prototypes and proofs-of-concept.

The Thingy:53 Rapid Prototyping Platform is based on the nRF5340 dual-core Arm Cortex M-33 system-on-chip (SoC), and the nRF Edge Impulse mobile app enables embedded machine learning (ML) for prototype devices.

ML capabilities support a range of applications, including voice recognition and movement pattern detection.

A complete range of sensors and peripherals to support Internet of Things (IoT) application development is offered and the platform's environmental sensor measures air pressure, air quality, humidity, and temperature in real time, while the low-power accelerometer supports a broad range of motion detection functions.

The platform also offers a connector for external accessories and boards, further extending the possible applications for prototype devices.

Power management features are provided by the nPM1100 power management IC (PMIC), an onboard nRF21540 front-end module (FEM) for wireless connectivity and an integrated power amplifier/low noise amplifier (PA/LNA) range extender.

The platform's ML capabilities enable exceptional low-power performance, as devices can conserve battery life when no external stimuli trigger the embedded sensors.

Included is a debug and current measurement board, allowing engineers to monitor power consumption and troubleshoot application code quickly.