In this fascinating episode, watch how Ofir Barzilay, Principal Engineering Manager for IoT Security, demonstrates a brute force attack (https://aka.ms/iotshow/ascforiot) on a Raspberry Pi IoT device connected to Azure IoT Hub. You will see how Ofir attacks the device to discover its password.

Watch how he downloads a payload and infects the device. You will see him gain control over the device, connecting it to his command and control server to fully own it, showing how he can exploit it for crypto mining, DDOS and more.

At the end of the demo, Ofir demonstrates how Azure Security Center for IoT has monitored, detected, and reported on the entire attack. He also shows how Azure Security Center for IoT leverages Microsoft Threat Intelligence to flag suspicious devices. Solution builders using Azure IoT security will sleep better after watching this show.

TensorFlow Lite is a framework for running lightweight machine learning models, and it’s perfect for low-power devices like the Raspberry Pi.

This video shows how to set up TensorFlow Lite on the Raspberry Pi for running object detection models to locate and identify objects in real-time webcam feeds, videos, or images. 

Written version of this guide: https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md

Imagine a Raspberry Pi cluster computing kit for $128. Well, imagine no more. Just think of what AI-infused IoT geeky things that could be built with this.

Raspberry Pi computers have been quite the revolution for makers, encouraging experimentation and creativity thanks to their low cost and compact size. And while the tiny computers are by no means high-end in their processing power, they continue to get faster with each generation. Now, you can gang together […]

The Raspberry Pi 4 could not have come at a better time and now is the moment for new developers to start experimenting with the technology. This powerful, yet tiny, computer can be used for a variety of functions, but our focus today will be on using the Pi 4 for image processing in a small package and low power setting.

The computing power of the Raspberry Pi 4 is higher compared to previous generations. This means that it can perform inference fairly quickly. It can be used for various types of applications. These include a rock-paper-scissors detection machine, home surveillance through motion detection, object detection for authorized entry (pet vs. animal) or even to give vision to a robot.

If you’ve never seen a hackspace up close and personal, then you’re missing out. There are quite a few around the world. Microsoft has several on its larger campuses. In Microsoft terms, they are referred to as the Garage.  There’s even on at the Rockville Science Center.

Hackspaces are locations where people can work on various hardware projects, have access to specialized equipment, and learn various aspects of hardware and software programming.

In this video from Computerphile, take a virtual tour of the hackspace in Nottingham, UK.

edureka! has compiled a list of the top 7 IoT projects. If you’re impatient, here’s the list of the projects showcased in the video.

  • Biometrics System
  • Smart Irrigation System
  • Security Camera & Door Unlock System
  • Smart Home
  • Smart City
  • Zelda Ocarina Controlled Home Automation
  • Jarvis