Imagimob has implemented the tinyML fall detection application running on Syntiant’s ultra-low-power NDP120 Neural Decision Processor and can be seen at Syntiant’s private suite at the Venetian Hotel during CES 2023 in Las Vegas.
The fall detection application is developed in the Imagimob end-to-end tinyML development platform. The Imagimob platform includes a built-in fall detection starter project, which includes an annotated dataset with metadata (video), and a pre-trained ML-model (in h5-format) that detects person falls from a belt-mounted device using IMU data. Any developer can use the fall detection model and improve it by collecting more data.
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The integration enables developers to use the Imagimob platform to create production-ready deep learning tinyML applications, and to optimize and deploy the ML models using the NDP120 by a simple click of a button. The combined Imagimob-Syntiant solution supports a range of applications, such as sound event detection, keyword spotting, fall detection, anomaly detection, gesture detection and maný other use cases.
“The collaboration with Syntiant will be very valuable for our customers because it allows them to quickly develop and deploy powerful, production-ready deep learning models on the Syntiant NDP120,” said Anders Hardebring, CEO and co-founder at Imagimob. “We see a lot of market demand in sound event detection, fall detection and anomaly detection.”
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Awarded “Best Product of the Year” by the tinyML Foundation, the NDP120 brings highly accurate always-on voice and sensor neural processing to all types of consumer and industrial products. Packaged with the Syntiant Core 2, the company’s 2nd generation, highly flexible deep neural network, the NDP120 supports Ok Google and Hey Google hotwords at under 280uW and can run multiple applications simultaneously at under 1mW.
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.
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