I do not envy anyone who has to stand guard in front of a business and enforce any mask wearing policies.

What if this task could be automated?

Well, here’s an article that shows you how to set up a Raspberry Pi Face Mask Detection System and sound an alarm when someone is not wearing their face mask.

This project was inspired by a video of a mall in Asia where an entry gate could only be activated by a user wearing a face mask.

When a user approaches your webcam, the Python code utilizing TensorFlow, OpenCV, and imutils packages will detect if a user is wearing a face mask or not. Users not wearing a face mask will be designated with a red box around their face, and users wearing a face mask will see a green box around their face with the text, “Thank you. Mask On.” Users not wearing a face mask will see a red box around their face with, “No Face Mask Detected.”

Jeff Geerling puts the Compute Module 4 through its paces and compares it to the Raspberry Pi 4 and Compute Module 3+, highlighting some great new features like a PCI Express 1x slot on the IO board and NVMe support.

Content index:

  • 00:00 – Introduction
  • 03:29 – A Complete Redesign
  • 04:35 – PCIe, USB 3, and NVMe
  • 10:04 – Networking – Wired and Wireless
  • 12:37 – CPU Performance
  • 13:41 – eMMC Performance
  • 14:54 – USB Boot
  • 15:50 – NAS/NFS Performance
  • 17:05 – IO Board Features
  • 19:47 – Summary and Final Thoughts
  • 20:50 – Bloopers

A quiet revolution is taking place in electronics hardware design and, as silicon integration has continued, engineers are gradually moving from developing mostly at the component and circuit level to working more with board, modules and subsystems.

There are many advantages that lie in a shift to modular design. One is greater ability to share in the economies of scale that come from the use of platforms that attract many customers. Industrial users have a long experience with modular hardware. The Versa Module Eurocard (VME) and CompactPCI standards provided integrators and Original Equipment Manufacturers (OEMs) working in low-volume markets with the ability to use high-performance computing. They could perform more extensive customisation of a computer’s capabilities without having to invest time and effort in high-end printed circuit board (PCB) design. Since those days, Moore’s Law has delivered incredible gains in functionality while also reducing the cost of individual parts. The Raspberry Pi single board computer is a key example.

Null Byte explains how to Use Android & Raspberry Pi for Local Voice communications.

It can be difficult to communicate off the grid when there’s no infrastructure. That’s also true when you’re in situations where there is no cellular service or reliable Wi-Fi hotspots, such as a convoy of vehicles that want to talk to talk to each other, or protestors around the world where law enforcement cut out the cell signals.

On this episode of Cyber Weapons Lab, we’ll show how you can use a cheap $35 Raspberry Pi with PirateBox to enable Android phones to talk to each other without using any cell towers.  

To learn more, check out the article: https://nulb.app/x6vtu