Packaged with the Syntiant Core 2, the processor can run multiple applications simultaneously with minimal power consumption, including AI vision features such as person detection, object classification, motion tracking and occupancy monitoring.
With its multi-modal capabilities, the NDP200 can also perform highly accurate processing on-device, including multi-sensor fusion, voice command recognition, acoustic event detection, infrared detection, anomaly and tamper detection, as well as other audio, motion and pressure sensing applications.
“The NDP200 brings extraordinary inference capabilities to a wide variety of always-on image and sensor applications,” said Kurt Busch, CEO of Syntiant. “Our Core 2 architecture minimises data movement by coupling memory and MAC functions that generally provides 100x improvement in efficiency and performance. As an example, an application that lasts three and a half days on a battery-powered device using an Arm A53 processor would last one year running on the NDP200.”
The NDP200 has been designed to bring always-on neural processing to a wide range of consumer and industrial battery-powered products, including IP and security cameras, mobile phones, tablets, smart speakers, smart displays, as well as smart home applications and security devices.
Syntiant Core 2 is a highly flexible deep learning inference engine that is able to move larger neural networks into always-on domains, with capacity to generate shared embeddings, run ensembles and other neural architectures concurrently or in cascades.
Designed to avoid inefficiencies in stored program architectures, it can provide neural designers with full control of multiple concurrent independent networks, while also enabling machine learning deployment without any intermediary compilers.
The NDP200 is equipped with an Arm Cortex M0 processor and a HiFi-3 DSP to support feature extraction and signal processing for image and voice enhancements.
