
Learn to reprogram a DSTIKE ESP8266 Smart Watch using Arduino IDE. Explore hardware components, write custom code, and create a wearable Wi-Fi device for monitoring and controlling other wireless devices.

Iterative improvement of an escape room-in-a-box project, focusing on integrating networking and display functionalities while addressing voltage compatibility issues.

Learn to build wireless "Smart Dice" using ESP8266 and Node-RED. Create interactive puzzles by detecting dice orientation with MPU6050 sensors, and transmit data via MQTT for escape room challenges or sequence-based games.

Learn to create a Christmas-themed escape room puzzle using long-range RFID vicinity sensors, PN5180, and ESP32. Covers hardware setup, wiring, and Arduino programming for seamless prop detection up to 30cm away.

Learn to create an immersive escape room puzzle using Node-RED, MQTT, Arduino, ESP8266, and DMX. Build a fake bomb prop with dramatic lighting and sound effects for an exciting player experience.

Explore Team Inspiration's journey in creating an award-winning Autonomous Underwater Vehicle using Jetson Nano, as they discuss their RoboSub 2020 victory and future plans in robotics.

Explore Jetson AI in sci-fi-inspired projects with The Hacksmith, featuring a Jedi training drone and Predator helmet. Gain insights into real-time challenges, production processes, and future plans for innovative AI applications.

Train object detection models with PyTorch on Jetson Nano, collect custom datasets, and create personalized models for real-time detection using SSD MobileNet and Open Images dataset.

Learn to train image classification models using PyTorch on Jetson Nano, including transfer learning, custom dataset creation, and real-time testing with live camera feeds.

Learn to implement image classification using Jetson Nano and deep learning. Code a Python program for real-time classification on live camera streams and experiment with the ImageNet model.

Learn to set up and run AI applications on Jetson Nano, including Docker container usage, camera feed testing, object detection, and network streaming via RTP.

Learn to implement real-time object detection on Jetson Nano using Python, with pre-trained DNN models capable of identifying various objects from live camera feeds.

Learn to build AI projects with JetBot, an open-source DIY robotics kit for Jetson Nano. Explore real-time deep learning, object recognition, and various applications in this hands-on introduction.

Learn to develop AI and computer vision applications using NVIDIA's deep learning tools. Explore neural network primitives, real-time solutions, and training workflows for intelligent robots and drones on the Jetson Embedded Platform.

Comprehensive guide to creating a custom ESP32 board, covering schematic design, PCB layout, manufacturing, and programming, with practical examples and industry insights.

Step-by-step tutorial on integrating a microcontroller into FPGA, covering project setup, hardware configuration, RTL coding, synthesis, pin assignment, software development, and debugging techniques.

Learn to train and implement custom object detection on Jetson Nano, from image capture and labeling to using a Single Shot Detection Network for real-time robot recognition in video streams.

Learn to control a SMARS Quad robot using MakeCode and BBC micro:bit. Covers hardware setup, leg configuration, movement commands, and programming, with a live demo and downloadable resources.

Comprehensive introduction to BBC micro:bit for robotics projects, covering hardware features, programming, comparisons with other microcontrollers, and practical demonstrations using MicroPython.

Comprehensive guide for setting up Visual Inertial Odometry on a Pixhawk-based drone using Jetson Nano and Intel T265 camera, covering hardware assembly, software installation, and flight testing.

Comprehensive guide to designing a custom PCB for the RP2040 microcontroller, covering schematic creation, PCB layout, fabrication, soldering, and debugging techniques for Raspberry Pi Pico-compatible boards.