embedded systems

How cutting-edge microcontrollers build security from the ground up

Alif Semiconductor’s™ microcontrollers meet the market need for low-power, AI-enabled embedded solutions with unmatched levels of multi-layered security, and a fully integrated secure element.

I2C vs SPI: A Comprehensive Comparison and Analysis

This in-depth guide will delve into the fundamentals of I2C and SPI communication protocols, including their working principles, comparative advantages, system configurations, and practical applications in embedded systems and IoT devices.

The True Speed of Cellular IoT

Sharing the real-world performance metrics of LTE Cat-M1 and LTE Cat 1, allowing you to make a better decision on what technology to use in your application.

What's this LwM2M standard, and why should you care?

Lightweight Machine to Machine, a simplified communication and device management standard for the Internet of Things.

Laurens Slats

 from 

AVSystem

-

Updated on 21 Dec, 2022

5 minutes read

Making Garbage Management Operations Smarter

IoT-enabled sensor technology is set to revolutionise waste management.

Computer Vision on Compute-Constrained Embedded Devices: High Performance and Increased Security at a Lower Cost

Article #5 of the "Why Edge?" Series Moving Computer Vision to the Edge offers advantages in security and latency.

How to reduce power consumption in MPUs while running ML models

ML at the edge is the main target in many IoT applications today. Learn why it is important to build energy-efficient embedded devices, and how to achieve it using cutting-edge technologies.

Chips and Wafers: What's the Difference?

Chips and wafers are the integral components of a semiconductor device. Find out the differences between chip wafers and chips and understand their role in semiconductor manufacturing.

Embedded Vision AI Foundations

Embedded vision systems come with a host of benefits for both users and AI systems operations.

Applications of TinyML making specialised education more accessible

In this article, we look at two tinyML projects for education. We show how Backyard Brains uses low-cost experiment kits to make neuroscience education more accessible. We also introduce our readers to a specialisation offered by Harvard & Google to help students learn tinyML like never before.

Applications of TinyML in healthcare for a safer future

In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.

TinyML unlocks new possibilities for sustainable development technologies

In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.

A choreomusical e-textile interactive carpet

Tapis Magique is a pressure-sensitive, knitted electronic textile carpet that generates 3D sensor data based on body gestures and drives an immersive sonic environment in real time.