
This lecture describes the overview of the course and the learning outcome and it also explains the need to use smart helmet.
This lecture will help you understand the concepts involved in this course. The technologies we are using to build Smart Helmet
In this lecture, you can have an idea about all the hardware components required to build this prototype. Every components were explained along with its uses.
In this lecture, you can have an idea about all the software application, server and programming language required to build this prototype. Every application were explained in detail.
Explanation of all the circuit diagram involved in this prototype and every integrated connection is also explained in detail.
This lecture is about the circuit diagram for alcohol sensor. You can easily understand the connection of alcohol sensor with Raspberry Pi zero.
This lecture is about the circuit diagram for vibration sensor. You can easily understand the connection of vibration sensor with Raspberry Pi zero.
UART to USB Connection is explained in this lecture. You can easily understand the connection of UART to USB.
Circuit Diagram for GPS Module is explained here. You can easily understand the connection of GPS Module.
In this lecture, the complete circuit diagram is explained which will help you to build a fully functional Smart Helmet using various sensors and Raspberry Pi Zero.
This lecture covers how to connect and control your Raspberry Pi remotely from your personal computer. And also deals with virtual connection using VNC.
In this lecture, you will learn the different Modules of programming and how it has been integrated with each other.
The lecture shows the detailed python program and how it is used to configure Raspberry Pi zero with GPS Module and Sensors.
The lecture explains the remaining portion of the python program and how it is used to configure Raspberry Pi zero with GPS Module and sensors.
The lecture contains the error free source code for Raspberry Pi configuration with GPS Module and sensors.
In this lecture, the php script to calculate the distance between two coordinates has been explained.
The source code for Distance calculation has been attached in this lecture. You can copy the code and save as "distance.php".
In this lecture, you will learn how to Configure your php file with the database in the server.
The source code for Database Connectivity has been attached in this lecture. You can copy the code and save as "connection.php"
In this lecture, main php script for the smart helmet has been explained and also shows how to integrate with other services.
In this lecture, the remaining php script for the smart helmet has been explained and also shows how to integrate with other services.
The source code for php script to run and integrate various modules has been attached in this lecture.
In this lecture, the use of Cronjob and Free SMS Client have been shown. It also explains the integration of Cronjob with the server.
The API for free SMS Client Way2SMS has been attached in this lecture. You can copy the code and save as "way2sms-api.php"
This lecture is to troubleshoot GPS Module for those who have an issue extracting the data stream from GPS Module to Raspberry Pi.
The lecture describes about the building up of smart helmet. How the hardware is installed in the traditional helmet.
The lecture shows the demonstration of the Smart Helmet. You can check out all its functionality.
The lecture describes what you have learnt so far in this course and its future implementation.
This course is for anyone interested in building projects that help solve real time problems. The course requires basic knowledge of python & php programming. If you are new to Raspberry Pi, I would recommend enrolling in my previous course, “Introduction to Raspberry Pi”, which is also available on Udemy.
Helmets are necessary safety gear to prevent injuries in an accident. We can improve the functionality of the helmet by adding hardware that can make it into a smart Helmet and solve various problems in our day-to-day life.
In this course, you will learn to detect the accident occurrence without human input. We will add functionality to detect drunk driving and also extract the coordinates of accident location. These would be sent to the server for further processing. We will be working with GPS Module & Google Maps API to get the location details.
This course will provide you with the knowledge of working with Raspberry Pi Zero along with GPS Module, Vibration Sensor and Alcohol Sensor. On the Software part, after this course, you can manipulate data from Raspberry Pi and Server, Work on Google Maps API, Finding nearest Hospital to the accident location and Send automated text alert using free SMS Clients.
I will also introduce you to the concepts of GPS tracking and to detect vibration & alcoholic bike rider using sensors. You will also learn how to connect things (Helmet in this case) to the internet (IoT). Data manipulation in cloud using raspberry pi. In this course you will also learn how to send text alerts using free clients like Way2SMS through automated php script.
I have taken utmost care to explain python and php programming with minute details. By the end of this course, you will have the skills and confidence to build your own smart helmet.