Coding the Future

Synaptics Presents Ultra Low Power Sound Event Detection Sed At The Edge On Ai

synaptics Acquires Emza Visual Sense Extends Leadership In ultra low
synaptics Acquires Emza Visual Sense Extends Leadership In ultra low

Synaptics Acquires Emza Visual Sense Extends Leadership In Ultra Low In this embedded world 2023 preview, shay kamin braun, director of product marketing for edge ai at synaptics demonstrates glass break detection running on t. San jose, calif., march 28, 2022 – synaptics incorporated (nasdaq: syna) will demonstrate how its ultra low power, edge based artificial intelligence (ai) soc solutions can be used to quickly and easily implement vision, sound event detection (sed), keyword spotting, and speech processing capabilities in a variety of applications at this week’s tinyml summit (march 28 30).

sed Eval Evaluation Toolbox For sound event detection вђ sed Eval 0 1
sed Eval Evaluation Toolbox For sound event detection вђ sed Eval 0 1

Sed Eval Evaluation Toolbox For Sound Event Detection вђ Sed Eval 0 1 Demonstrations using katana and dbm10l low power socs with neural network engines show latest vision, sound event detection, keyword spotting, and speech synaptics showcases edge ai strengths. San jose, calif., march 28, 2022 (globe newswire) synaptics incorporated (nasdaq: syna) will demonstrate how its ultra low power, edge based artificial intelligence (ai) soc solutions can be. Based on the synaptics® low power katana system on chip (soc) platform, the kit combines vision, motion, and sound detection hardware and software with wired and wireless connectivity to simplify the design and development of edge ai for the internet of things (iot), including smart home, building, industrial, and monitoring applications. The katana soc platform features a multi core architecture optimized for ultra low power and low latency voice, audio and vision applications. its integrated advanced neural network engine supports simultaneous inference of both computer vision and sound detection events with the ability to process both ai models in parallel.

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