
Explore building smarter, compact devices using the MAX32660 microcontroller. Learn about power efficiency, pin assignments, and development tools for creating innovative, size-constrained solutions.

Comprehensive guide to advanced FPGA design techniques, covering processors, microcontrollers, PCIE interfaces, and practical examples with ZYNQ for image processing and Linux implementation.

Step-by-step guide on creating a schematic for a microcontroller board with an accelerometer, covering component connections, power setup, and PCB preparation using EasyEDA software.

Comprehensive guide on creating effective board tests, covering test jigs, scripts, hardware needs, and best practices for PCB testing and quality assurance.

Extend Wi-Fi range using a $3 ESP8266 microcontroller. Learn to modify Arduino examples for custom access points and explore two network extension methods.

Build and control an ESP32-S IoT car using Blynk cloud. Learn hardware assembly, wiring, Blynk setup, and Arduino programming for remote operation via smartphone app.

Learn to build and program a 64x8 dot matrix display system using NodeMCU ESP8266, integrating it with Blynk IoT for remote control and monitoring via smartphone and web dashboard.

Weekly cybersecurity update covering latest hacking tools, ESP32-S3 release, QR code exploits, ransomware attacks, and global cyber threats. Gain insights on emerging vulnerabilities and defense strategies.

Learn to upload hacking projects to ESP8266 microcontrollers using only a browser, making it easy for beginners to load binaries onto devices like the WiFi Nugget without command-line knowledge.

Learn to integrate voice and speech capabilities on the Jetson Nano, combining image recognition with text-to-speech for real-time audible object identification in live video streams.

Learn to generate speech on Jetson Nano using espeak and gTTS libraries. Explore pros and cons of each technique and implement text-to-speech functionality in your AI projects.

Learn to train and automate face recognition using dlib and pickle, enabling efficient processing of large datasets for practical applications on Jetson Xavier NX.

Learn to implement face recognition and identification on NVIDIA Jetson Xavier NX using Dlib and face_recognition libraries. Includes step-by-step training and deployment of a face recognition model.

Learn to detect, identify, and label objects using NVIDIA Jetson Inference libraries on the Jetson Nano. Practical demonstration with real-time object recognition and labeling in images and video.

Learn object detection and recognition using OpenCV and NVIDIA Jetson Detection Utilities on the Jetson Nano. Explore machine learning and deep neural networks for identifying objects in real-time.

Improve NVIDIA Jetson Inference Library for Raspberry Pi Camera compatibility. Quick fix enhances future AI development on Jetson Nano using RPi camera.

Learn to install NVIDIA object detection and inference tools on Jetson Nano, enabling sophisticated pretrained networks for object identification and detection in AI applications.

Learn to recognize and identify faces in live video using OpenCV and Face Recognize library on Jetson Nano. Train models with familiar faces and implement real-time facial recognition.

Learn to implement face recognition and identification on Jetson Nano using OpenCV and face_recognition library. Covers training for new faces, identifying unknowns, and practical applications.

Learn to install and use facial recognition library for OpenCV on Jetson Nano, enabling face detection and identification in frames. Enhance your AI project with advanced computer vision capabilities.

Learn to detect faces and eyes in video using Haar Cascades with OpenCV on the Jetson Nano. Practical implementation of computer vision techniques for real-time facial feature recognition.