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Imagimob announces tinyML for sound event detection using AI

Imagimob announces tinyML for sound event detection using AI

Technology News |
By Jean-Pierre Joosting



Imagimob has announced the Imagimob tinyML platform integrated with the DBM10L AI chip from Synaptics. Existing machine learning algorithms for Sound Event Detection (SED) from Synaptics are fully integrated in the Imagimob platform which means that customers now have a very powerful, end-to-end platform that will enable them to easily and quickly develop and deploy production-ready SED applications on the Synaptics DBM10L AI chip. 

Imagimob AI is an end-to-end development platform for machine learning on edge devices. It allows developers to go from data collection to deployment on an edge device in minutes. Imagimob AI is used by many customers to build production-ready models for a range of use cases including audio, gesture recognition, human motion, predictive maintenance, material detection and many more.

Sound Event Detection (SED) is the task of recognizing sound events and their respective temporal start and end time in real time. Glass break, baby cry, gun shot and the sound of a microwave oven are all examples of sound events.The Synaptics SED algorithms are based on many years of research and are proven to be very robust in noisy environments, and they have also proven to be very efficient when they run on the DBM10L.

The Synaptics DBML10 is a cost-effective, low-power, small-form-factor, AI and machine learning (ML) dual-core system-on-chip SoC based on a digital signal processor (DSP) and a neural network (NN) accelerator. Optimized for voice, audio and sensor processing, it is suitable for battery-operated devices such as smartphones, tablets, and smart home devices such as remote controls, as well as wearables and hearables —including true wireless stereo (TWS) headsets. 

Imagimob will demonstrate the product at Embedded World 2022 in Nuremburg, Germany.

www.synaptics.com
www.imagimob.com

 

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