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Hi, today I'm writing this article because of some difficulties which I have faced in integrating cloud functions into my Flutter mobile app. Here what I'm going to do is trigger a notification from firebase cloud function and push notification in the flutter app. I hope you have done the basic setup in the flutter app as firebase_messaging documentation says as below. No need to repeat the same thing so I'm going to dive directly to the changes you needed. https://pub.dev/packages/firebase_messaging After setting up the flutter environment as the documentation says you have to set a topic to subscribe for that notification. Here inline 50 in main.dart file, I have subscribed to a topic called 'News' which is the topic which I need to push messages in the cloud function. Then in your cloud functions, you have to send the message like following. First, create a separate function which can send push notifications. Here also you need to set the same ...

Introduction to reactive programming Most of the data stream had gone to become the spine of your particular application when you are using the programming of reactive. There are calls, messages, events, and other failures that are conveyed by the stream of data. You can also observe with the react and flows as the value is emitted with the programming of reactive. You can also create data streams in your code from anything and of anything, for example, cache events, notifications of availability, ingested messages, requires of HTTP, and sensor measures that would happen or change. It would be the most exciting effect on the application as it becomes asynchronous inherently. The bites of misused asynchrony  There is an essential concept in the programming of reactive that is asynchronous. Every developer would be notified that the data emitted in-stream asynchronously as it is independent of program flow. You can also write the code that is invoked as the stream may emit ...

How to fix FirebaseApp with name [DEFAULT] doesn't exist issue with flutter This is a very common issue when we try to google authenticate our app with flutter. Please check the following are done in your app. Updated the android build.gradle file Updated the android\app build.gradle file Added dependency to pubspec.yaml Placed the google-services.json file Check Updated the android build.gradle file Add the following line to the android/build.gradle file please add the following line to that file. classpath 'com.google.gms:google-services:4.3.2' // Google Services plugin Check Updated the android\app build.gradle file Add following line to the following location apply plugin : 'com.google.gms.google-services' Check Added dependency to pubspec.yaml firebase_auth : ^0.14.0+5 google_sign_in : ^4.0.7 Placed the google-services.json file make sure you have added google-services.json from the firebase...

I have selected the Google Summer of Code 2017 program to work with the organization GENIVI Development Platform. GENIVI hosts a suite of Open Source Projects that focus in non-differentiating elements of the software stack of an In-Vehicle Infotainment system. These elements form a reusable software foundation for the efficient development of unique automaker and supplier offerings.       All GENIVI Open Source Projects operate as a  Community  using Open-Source best-practices, where contributors are welcome and  discussions  are encouraged. My task was to Incorporate the Zebra JavaScript framework into GDP for HTML5-based UIs The project aims to bring into the GDP a Javascript "canvas" library of UI elements. The goal is to show a possible approach to developing a Javascript-based UI for the GDP and automotive IVI systems. The tool chosen for this work is called Zebra. The GENIVI Development Platform is an open-source platform fo...

I'm sharing this with you because I have faced some difficulties when I try to get data from virtual serial ports to my backend in the project . It's easy Part 1 . Installation: Download the tty0tty package from one of these sources: http://sourceforge.net/projects/tty0tty/files/ clone the repo  https://github.com/freemed/tty0tty git clone https://github.com/freemed/tty0tty Extract it tar xf tty0tty-1.2.tgz Build the kernel module from the provided source cd tty0tty-1.2/module make Copy the new kernel module into the kernel modules directory sudo cp tty0tty.ko /lib/modules/$(uname -r)/kernel/drivers/misc/ Load the module sudo depmod sudo modprobe tty0tty You should see new serial ports in /dev/ ( ls /dev/tnt* ) Give appropriate permissions to the new serial ports sudo chmod 666 /dev/tnt* You can now access the serial ports as  /dev/tnt0  (1,2,3,4 etc) Note that the consecutive ports are interconnected. For example, /dev/tnt0...

With this series now we are moving some another path of Embedded Systems. So what you can think of deep learning, machine learning, and artificial intelligence. I'm sure you have followed some courses, books, articles regarding this subject. Me too followed these courses to learn this subject. We have followed a lot of mathematics modules and stuff with this subject. So, I would like to share my experience of applying deep learning frameworks to our daily embedded systems applications. That's why I started this tutorial series. Hardware? I thought about running a neural network to detect plant behavior using raspberry pi once :-).I tried it with my raspberry pi and totally lagged. Raspberry PI has an ARM processor consist of few cores optimized for sequential serial processing. This will not enough for real-time processing. A CPU consists of a few cores optimized for sequential serial processing - See more at: http://www.nvidia.com/object/what-is-gpu-computin...

This is credit card size small form-factor Linux system-on-module, destined for demanding embedded applications in visual computing. We are using this board for the applications of our embedded systems because it offers enormous GPU processing in a tiny computer that only consumes 5-20 watts of power. Aside from the GPU, the CPU is certainly not slow with four 64-bit A57 ARM cores. And, you have 4GB of RAM and 16GB of eMMC storage, so you should be able to load your application onto the onboard storage and throw around big chunks of data in RAM. The SATA interface gave a great performance when paired to an SSD, and the two antenna 802.11ac gave speeds up to Gigabit Ethernet over the air. Specifications