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Following on from my previous post, I decided that for my next Smarthome project it would be a good idea to build a sensor for the front door, that way I would be able to detect whether the door is open or closed.
I picked up the new Raspberry Pi High Quality camera last week. It’s pretty impressive. In this article, I’ll show you some ways to interact with this camera and do some cool stuff with it.
It feels like yesterday when the Raspberry Pi foundation released the first-in-line Single Board Computer (SBC) to the market. Back in 2012, Raspberry Pi wasn't alone in the SBC growing market, however, it was the first to make a community-based product that brings the hardware and the software eco-system to a beautiful harmony on the internet.
At Prynt, we have creativity days, we work on everything we want for few days. I believe this is really important to have some time you can work on something else for your company. A colleague did some art paint in our office, another create slack emoji of everyone in the company, I decided to create this cloud with the help of some colleagues (by the way, we name it Claudie).
Learn how to set up a MariaDB database server on a Raspberry Pi 4 Model B with 8 GB of RAM that you can connect to your local network through WiFi or Ethernet
Learn how I built an IoT data pipeline, powering real-time alerts that notified me to water my houseplants using a Raspberry Pi, Apache Kafka, and ksqlDB.
This article discusses the most affordable hacking setup at the least expensive price point possible. As a beginner, you don't need much of a really powerful PC
If you have ever wondered if there is any Desktop PC that comes at a very cheap price, you probably wouldn't have looked at Raspberry Pi, no one did. Until now, Raspberry Pi was a compact, small machine with limited performance but it has changed with the arrival of Raspberry Pi 400. Raspberry Pi 400 is a complete personal computer built into the Raspberry Pi Keyboard giving us the cheapest complete computer of all time.
“Please pray for my son,” is my mother’s go-to phrase whenever she comes to visit my condo in San Diego. My home lab is strung up with a web of audio, visual, and power cords. Wandering eyes will find themselves crossing resistors, soldering irons, microcontrollers, drones, robot pets, and even more robot pets. It’s certainly no surprise why she’s a little worried. My mother’s opinion aside; in the developer community, personal projects can be seen as ways to reinforce bad practices and a poor investment of time and money. Even I notice that my Instagram posts on wire organization might be misconstrued as a red flag. But I believe the personal projects I’ve made have helped me become a better, creative, and more resourceful engineer.
Home automation comes with plenty of potential to make our lives easier. But in order to succeed in its task, it often requires you to fill your house with bridges that can connect your smart devices to your Wi-Fi network. Unless you buy a smart device that communicates directly over Wi-Fi (like a TP-Link or Belkin smart plug), odds are that many of your favourite smart devices use either Bluetooth, Zigbee or Z-Wave to communicate. These protocols solve some of the issues of Wi-Fi when it comes to smart devices — like latency, centralised topology and relatively high power requirements — but they do require some physical hardware in between to do the smart protocol <-> Wi-Fi translation and make the devices actually controllable from a Wi-Fi-connected client.
The short answer is yes. For my labour day long weekend project, I decided to try my hand once again at configuring a Raspberry Pi as a home theatre PC.
In the quest of exploring a wide variety of use-cases that are inspiring, I reached out to Tephlon, who is an active member of the community and has been working on n8n-pi.
Triggering reliable events based on the presence of people has been the dream of many geeks and DIY automators for a while. Having your house to turn the lights on or off when you enter or exit your living room is an interesting application, for instance. Most of the solutions out there to solve these kinds of problems, even more high-end solutions like the Philips Hue sensors, detect motion, not actual people presence — which means that the lights will switch off once you lay on your couch like a sloth.
While scheduling classes for my final semester of college, I was very eager to do something different. Like many of my computer science peers, I had grown tired of the typical class where we have to reinvent the wheel when learning new concepts.
Have you ever dreamed of having a money printing machine that cranks out money in your home? Maybe your bedroom or basement dwelling area you have a machine that spits out currency 24/7.
Our universe is formed by gradually connecting the matter to form the galaxies and stars after the Big Bang explosion. These fully formed planets and stars are conjoint to create the universe in which the human exists. Similarly, in electronics, each component is linked together to make a circuit, which can establish a connection among the components without any resistance in between the process. The connection should form a closed loop that can keep the devices running.
I’m going to focus mostly on some design decisions and how I went about writing an SPI interface using Go on a Raspberry Pi. I assume my readers have a basic understanding of what a Raspberry Pi is, and how basic electronics work. If not, read on anyway and I will be sure to include some valuable resources below.
True Web3 adoption is in bringing the device-powered networks that run on Web2 backbones to blockchain - and Raspberry Pi is the ultimate hardware for the job.
You’ve got your smart home fully set up. You regularly like to show off with your friends how cool it is to turn on light bulbs, play videos and movies with a hint to your voice assistant, make coffee and adjust the thermostat with a tap on an app. Congratulations!
From vehicle counting and smart parking systems to Autonomous Driving Assistant Systems, the demand for detecting cars, buses, and motorbikes is increasing and soon will be as common of an application as face detection.
And of course, they need to run real-time to be usable in most real-world applications, because who will rely on an Autonomous Driving Assistant Systems if it cannot detect cars in front of us while driving.
In this post, I will show you how you can implement your own car detector using pre-trained models that are available for download: MobileNet SSD and Xailient Car Detector.
I’m going to focus mostly on some design decisions and also how I went about writing an SPI interface using Go on a Raspberry Pi. I assume my readers have a basic understanding of what a Raspberry Pi is, and how basic electronics work. If not, read on anyway and I will be sure to include some valuable resources below.
I set out on a voyage to find a way to self-host a dedicated server at home on the cheapest x86 single-board computer with the Raspberry Pi form factor.
Some of you may have noticed that it’s been a while since my last article, despite winning this year's IoT Noonies award (btw thanks to all of you who voted, that means a lot to me!).