Driving Innovation in AI

Plumerai showcases computer vision solutions on small, embedded devices to address use cases that include people detection and face identification. The platform is built on the high-performance Renesas RA8x1 MCU with Arm Cortex-M85 and Arm Helium vector extensions to accelerate people-detection neural networks using just 300 KB RAM.

Himax WiseEye 2 runs vision-based AI edge models, including face detection, human pose estimation, and object detection. Its heterogeneous solution combines Arm Cortex-M55 with Arm Helium technology, the Arm Ethos-U55 NPU, and support for TensorFlow Lite Micro and TVM, to enable high-speed vision processing.

Sensory showcases its speech recognition and natural language understanding platform, built on Arm Cortex-M55 and the Arm Ethos-U55 NPU. Partitioning workloads across the Cortex-M and Ethos-U processors, Sensory enabled advanced wake words, voice control, and NLU capabilities, while meeting the tight memory and power limits of consumer devices.

There are many challenges involved in deploying AI speech recognition. Beijing-based SoundPlus Technologies worked with Arm to optimize a speech enhancement algorithm to run on the Arm Cortex-M4F and Cortex-M33 MCU, achieving a balance between power consumption and performance.

The healthcare IoT market is predicted to reach a market volume of $134B by 2029. Arm is enabling this growth with machine learning in low-power devices. Quvium is a medical device company whose Sonasure cough monitor leverages Arm processors’ machine learning capabilities for identification and analysis of patient baselines.

Sunflower Labs Beehive One home security system uses Arm AI to enable a fully autonomous security drone. Its sensors use machine learning capabilities to differentiate between innocuous objects and activities and potential threats.