Join our community of embedded and IoT practitioners to contribute experience, learn new skills and collaborate with other developers with complementary skillsets.
Join us for a session with Zacck Osiemo as he guides us through Zephyr Device Trees and their role in SG90 servo motor control! 🔹 Understand & configure Device Trees […]
Are you interested in embedded AI and real-time inference on microcontrollers? Join us for an exciting session where we’ll explore TensorFlow Lite for Microcontrollers (TFLM) on STM32! 🔹 What You'll […]
Are you interested in embedded AI and real-time inference on microcontrollers? Join us for an exciting session where we’ll explore TensorFlow Lite for Microcontrollers (TFLM) on STM32! 🔹 What You'll […]
**📅 Week 3: 3 Phase BLDC Motor Control Using FOC algorithm** 🌟 **Overview:** Idive into the cutting-edge **Field-Oriented Control (FOC)** technique to achieve smooth, efficient, and precise BLDC motor operation. […]
In part two of this edge AI-on-Linux miniseries, @Ming demonstrates an AI-based suspicious package detection application integrated with SECO's Yocto-based Clea OS and running on 13th generation Intel Core processor […]
Join us for a deep dive into feedback control, enhancing precision and efficiency in BLDC motor operation using sensors. 🔧 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐖𝐢𝐥𝐥 𝐋𝐞𝐚𝐫𝐧: ✅The critical role of Hall sensors […]
In our previous session, (https://www.youtube.com/watch?v=zpLpdz_HtHI), Hemal walked us through the basic concepts any designer needs to grasp before embarking on a PCB design. Now it's time to start applying some […]
Session 1: Edge Impulse Deployment – Learn how to train and deploy AI models efficiently using TinyML and Edge Impulse.
**📅 Week 3: 3 Phase BLDC Motor Control Using FOC algorithm** 🌟 **Overview:** Idive into the cutting-edge **Field-Oriented Control (FOC)** technique to achieve smooth, efficient, and precise BLDC motor operation. […]
ESP-IDF Deployment training the model with YOLO and convert it ti tflite then Implement object detection the classic way, gaining deeper insights into low-level optimization and embedded AI development.
ESP-IDF Deployment training the model with YOLO and convert it ti tflite then Implement object detection the classic way, gaining deeper insights into low-level optimization and embedded AI development.
ESP-IDF Deployment training the model with YOLO and convert it ti tflite then Implement object detection the classic way, gaining deeper insights into low-level optimization and embedded AI development.
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