Say “hello” to its replacement, the new Arduino MKR WAN 1310.
Robotics is the next disruptor which is obvious, electronics, data science and hardware knowledge is very important to make a mark in this field. Robots ranging from small printing machines to huge arm movements are very precise which has been possible by introducing a new generation of motors known as STEP Motor or STEPPING Motor and popularly known as STEPPER Motor.
This project lets you rediscover the 1980’s gaming scene by resurrecting an old Commodore 64 home computer using new components and those ever-versatile Lego bricks! If you had one of these computers, this build will let you replay forgotten games and beat old high scores.
If you’re new to retro-computing, now’s your chance to see why the Commodore 64 was so incredibly popular.
If you’re like most people, you probably don’t really know where the money you spend on utilities is actually going. You just get a bill in the mail every month and hope it isn’t too high. Sure, you know that your air conditioner uses a lot of energy because your electricity bill skyrockets in the summer. But how much electricity does your refrigerator use? How much water does your dishwasher consume every time you run it? Those questions are hard to answer, but you can at least build this Arduino-based monitor to find out how much money you’re spending on water in the shower.
Teensy 4.0 is an Arduino-compatible board with an Arm Cortex-M7 running at 600 MHz. That is right. Six. Hundred. Megahertz. Today, Paul Stoffregen and the PJRC team adds its newest member to the Teensy product family. At $20, the Teensy 4.0 may be the best performance per dollar board available.
Adafruit’s Limor Fried ported TensorFlow Light to the Arduino ecosystem so you can make your own AI-powered projects
Record a robotic movement with your desktop browser and export it to an Arduino board that is connected to multiple servos.
This video is a quick getting started guide for the ESP32-CAM board. We’ll show you how to setup a video streaming web server with face recognition and detection in less than 5 minutes using the CameraWebServer example.