{"id":471709,"date":"2021-04-06T08:48:23","date_gmt":"2021-04-06T12:48:23","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=471709"},"modified":"2021-04-06T08:48:23","modified_gmt":"2021-04-06T12:48:23","slug":"aspinitys-analog-machine-learning-drives-near-zero-power-acoustic-event-detection","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/aspinitys-analog-machine-learning-drives-near-zero-power-acoustic-event-detection\/","title":{"rendered":"Aspinity\u2019s Analog Machine Learning Drives Near-Zero-Power Acoustic Event Detection"},"content":{"rendered":"

\nNew Acoustic Event Detection Evaluation Kit highlights Aspinity\u2019s ultra-low-power, programmable analogML core and Infineon\u2019s newest analog MEMS microphone
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PITTSBURGH, April 06, 2021 (GLOBE NEWSWIRE) — Targeting the growing market for smart home devices\u2014which IDC estimates will grow to more than 1.4B units in 2024i<\/sup>\u2014Aspinity<\/a> today announced the availability of its Acoustic Event Detection Kit (EVK1) for battery-operated, smart home devices that are always listening for acoustic triggers such as window glass breaks, voice, or other acoustic events\u2014delivering the essential technology that helps keep homes and families safe and secure. Featuring the company\u2019s analogML\u2122 core<\/a>\u2014a fully analog machine learning processor that promotes system power efficiency by identifying specific acoustic events prior to data digitization\u2014along with Aspinity\u2019s event detection algorithms and Infineon\u2019s<\/a> new XENSIV\u2122 IM73A135<\/a> high-performance, low-power analog MEMS microphone\u2014the EVK1 is a complete hardware-software kit for the development of small, always-listening smart home devices with extended battery lifetimes.<\/p>\n

Traditional acoustic event detection devices are notoriously power-inefficient because they continuously monitor the environment and immediately digitize all<\/em> microphone data for analysis\u2014even though most of that data are simply noise. A window glass break, for example, may only happen once a decade but the typical glass break sensor uses high-power digital analysis of 100% of the ambient sound data to detect a trigger that rarely (or never) occurs. Aspinity\u2019s EVK1, on the other hand, demonstrates a power-saving alternative. By using an analogML core to detect acoustic events at the start of the signal chain while the microphone data are still analog, the downstream digital system can remain in an ultra-low-power sleep mode until an event is detected. This architectural approach allows designers to build acoustic event detection devices with batteries that last years, instead of months, on a single charge.<\/p>\n

\u201cStoked by demand for smarter real-time monitoring of potential dangers in the home, the market for acoustic event detection in battery-powered smart home devices is exploding,\u201d said Tom Doyle, founder and CEO, Aspinity. \u201cSuch devices help people feel safer and more secure, whether they\u2019re home or away, which is why it\u2019s so important to keep them up and running for extended periods. Our EVK1 makes it easy to develop small devices that can very accurately detect window glass break and <\/em>run for years, so you can go on vacation knowing that your home will be protected while you\u2019re away\u2014and you\u2019ll be spared those annoying phone calls on false alarms triggered by other loud sounds in the neighborhood.\u201d<\/p>\n

The EVK1 features Infineon\u2019s ultra-high performance XENSIV\u2122 IM73A135 MEMS microphone for accurate, real-time monitoring of acoustic events and reflects another step forward in the ongoing partnership between Aspinity and Infineon Technologies AG. (See: Aspinity and Infineon partner to accelerate development of intelligent sensing products with longer lasting batteries<\/a>, May 14, 2020.)<\/p>\n

\u201cAlways listening battery-driven devices can now run much longer due to the reduced power consumption. The combination of our high-performance XENSIV\u2122 MEMS microphone with Aspinity\u2019s analogML allows a continuous observation of the environment and a first signal analysis still in the analog domain. The analog-digital converter in the audio processing chain or the microcontroller will power up only when needed,\u201d said Dr. Roland Helm, VP and head of PL Sensors, Infineon Technologies AG. \u201cThat\u2019s a major competitive advantage for designers. We\u2019re delighted to collaborate with Aspinity to speed development of power-efficient smart home devices that are always listening for meaningful acoustic events without sacrificing battery life.\u201d<\/p>\n

\n EVK1 Features<\/strong>\n <\/p>\n