Xylo™ is the world’s leading programmable, ultra-low-power neuromorphic chip for low-dimensional signal processing, enabling always-on real-time temporal signal processing and recognition applications, at ultra-low-power (<500μW). Coupled with a range of efficient direct sensor interfaces, the Xylo™ family is highly suited for intelligent processing of a variety of sensor signals, including MEMS microphones, temperature sensors, pressure sensors, vibration sensors, acceleration sensors, gyroscopes, EMG, ECG, and more.

Xylo™IMU is the latest addition to the Xylo™ family, joining the Xylo™Audio chip. A fully digital AI chip consisting of a dedicated IMU sensor data acquisition and conversion block (supporting the MC3632 IMU sensor) and a low-power inference core (Xylo™ Core), Xylo™ relies on spiking neural networks(SNNs) for real-time ultra-low-power sensory inference.

Xylo™’s IMU interface reads from an external sensor via an SPI digital bus, converts IMU sensory data to events, and sends the events to the Xylo™ Core for AI inference. The Xylo™ Core is a highly configurable SNN processing core, supporting a wide range of flexible network architectures.

Features

• Contains one Xylo™IMU inference processor
• 3-axis accelerometer IMU on board (MC3632), sampled at 400Hz
• USB3.0 bus for power and interfacing with a host PC
• Rockpool High-level Python API for application development, HDK interfacing and deployment : Quick Start
• On board power monitoring of real-time Xylo™IMU power consumption during inference
• Selectable IMU data source: on–board IMU sensor or streaming data from a host PC

The Xylo™IMU Dev Kit is powered by the SynSense Xylo™IMU chip, which brings the flexibility of highly configurable SNN processing to microwatt energy budgets. Powered by SNN inference algorithms, Xylo™IMU supports a range of battery-powered motion processing applications.

Sports wearables 

• Personalized recognition and feedback of human posture and behavior, based on motion

Human-computer interaction devices

• Vibration / tactile interaction for smart watches
• Movement-based interaction for wearables

Industrial monitoring devices

• Preventative maintenance by detecting imminent failure, continuously at low power
• Vibration-based analysis of machine operation

Animal wearables

• Recognize behavior of pets and livestock from movement