Abstract: In the last few years, microcontrollers became more and more powerful, and many authors have started to use them for different machine learning projects. One of the most popular frameworks ...
This library simplifies the use of TensorFlow Lite Micro on Arduino boards, offering APIs in the typical Arduino style. It avoids the use of pointers or other C++ syntactic constructs that are ...
Embedded AI combines machine learning with edge devices for local, real-time intelligence. Courses range from beginner to advanced, covering TinyML, signal processing, and deployment. Ideal for ...
Abstract: The recent tiny federated learning (TinyFL) paradigm has generated significant interest in enabling resource-constrained edge devices to perform local machine learning training. TinyFL ...
$16 Grove Vision AI V2 module features WiseEye2 HX6538 Arm Cortex-M55 & Ethos-U55 AI microcontroller
Seeed Studio’s Grove Vision AI V2 module is based on the HiMax WiseEye2 HX6538 dual-core Cortex-M55 AI microcontroller with an Arm Ethos-U55 microNPU and features a MIPI CSI connector for an OV5647 ...
Locks come in many types — not just mechanical, but also electronic. Various mechanisms to open electronic locks have been devised, such as keypads, fingerprints, facial scans, and more. In the ...
Developing seismic signal detection and phase picking is an essential step for an on-site early earthquake warning system. A few deep learning approaches have been developed to improve the accuracy of ...
1 Electrical Engineering Department, Centro Universitário FEI, São Bernardo do Cambo, Brazil 2 Mechanical Engineering Department, Centro Universitário FEI, São Bernardo do Cambo, Brazil This study ...
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