**📅 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. 🔧 **What You’ll Do:** - Learn the principles of FOC: **Clarke and Park transformations**. - Decouple **torque** and **flux control** for optimal performance. - Implement […]

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 PICMG COM-HPC system.

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 and encoders in feedback systems. ✅How to implement closed-loop speed control with a PID controller. ✅Techniques to optimize motor performance under dynamic load conditions. ✅Methods […]

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 of those principles in a real-world context: namely, a vision system. Using a parallel track on building an (https://youtube.com/live/cCpGi6gw4EY?feature=share) as a baseline, Hemal now sets […]

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. 🔧 **What You’ll Do:** - Learn the principles of FOC: **Clarke and Park transformations**. - Decouple **torque** and **flux control** for optimal performance. - Implement […]

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.

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.