IP platform for intelligence gathering chips at the Edge

Overview

Key Features

• The SFA 100 provides the ability to integrate a machine-learning engine onto a low cost, low power edge device and is based on the Arm® Corstone™-300 subsystem that ensures a very high level of security. It consists of an Arm Cortex®-M55 with secure boot with cryptographic algorithm accelerators and supports TrustZone® and CryptoCell™ for additional security for the onward processed data. Also included is the Arm Ethos™-U55 Machine Learning (ML) processor that provides a 480x uplift in ML performance. This powerful, combined processing capability enables the endpoint device to perform a variety of ‘smarts’ such as voice activation, image classification, gesture recognition, filtering, inference and tracking depending on the application. If these need more memory, it can easily be scaled up via the DRAM interface.
• The design has GPIO, I2C, UART and QSPI peripheral interfaces to capture sensor data, such as video, image, sound and both static and dynamic data, along with a 12-bit audio DAC for voice commands. The low overall power requirement of the SFA 100 design enables it to operate on battery power for long periods which is complemented by low power, wireless connectivity using either Bluetooth BT5.1-LE or ZigBee.

Benefits

• High performance IoT solutions for AI at the Edge can now be created up to 30% faster

Block Diagram

Applications

• High performance IoT solutions for AI at the Edge

Technical Specifications