Raspberry Pi based Smart Emergency Alert System Helmet

Build your own Smart Helmet using Raspberry Pi Zero
4.16 (48 reviews)
Udemy
platform
English
language
Hardware
category
Raspberry Pi based Smart Emergency Alert System Helmet
4 481
students
1 hour
content
Mar 2018
last update
FREE
regular price

Why take this course?

🧠 Transforming Safety Gear: Build a Smart Emergency Alert System Helmet with Raspberry Pi Zero!

Course Overview:

Are you passionate about technology and its application in enhancing safety and addressing real-world challenges? Whether you're a hobbyist, student, or professional, this course is your gateway to creating an intelligent Smart Emergency Alert System Helmet using the versatile Raspberry Pi Zero.

What You'll Learn:

🎓 Detecting Accidents in Real-Time:

  • Master the art of detecting accidents on the road without requiring human intervention.
  • Understand how to integrate a Vibration Sensor and an Alcohol Sensor to identify potential drunk driving incidents.

🌐 Location Tracking & Mapping:

  • Utilize a GPS Module and Google Maps API to accurately pinpoint accident locations on the map.
  • Learn to find the nearest hospital from the accident site using geolocation services.

Skills & Technologies Covered:

Python & PHP Programming:

  • Gain a solid understanding of Python and PHP, essential for data manipulation and communication between Raspberry Pi and servers.

Internet of Things (IoT):

  • Connect your helmet to the internet, bringing it into the era of IoT.

Data Manipulation in the Cloud:

  • Discover how to handle data processing in the cloud with Raspberry Pi Zero.

SMS Notifications:

  • Send automated SMS alerts using services like Way2SMS through custom PHP scripts, keeping emergency contacts informed instantly.

Course Structure:

  1. Introduction to Smart Helmets:

    • Explore the importance of smart safety gear and how it can revolutionize emergency response.
  2. Hardware Integration:

    • Set up your Raspberry Pi Zero with a GPS Module, Vibration Sensor, and Alcohol Sensor.
  3. Software & API Integration:

    • Work with Google Maps API to extract location details and send alerts.
  4. Emergency Detection Mechanism:

    • Learn to program your Raspberry Pi to detect accidents and drunk driving incidents.
  5. Sending Alerts:

    • Understand how to automate SMS notifications to inform emergency services or contacts.

Who This Course is For:

  • Aspiring engineers and tech enthusiasts interested in IoT, GPS tracking, and emergency response systems.
  • Those with basic knowledge of Python & PHP programming, especially if you're new to Raspberry Pi projects.

Why Take This Course?

  • Real-World Impact: Develop a smart helmet that can contribute to road safety and emergency response efforts.
  • Hands-On Learning: Apply your programming knowledge in practical scenarios and real-time applications.
  • Expert Guidance: Learn from Venkatesh Varadachar, an experienced instructor who will guide you through each step with clear explanations and examples.

Prerequisites:

  • Basic understanding of Python & PHP programming languages.
  • Familiarity with Raspberry Pi is beneficial but not mandatory; I recommend my previous course, “Introduction to Raspberry Pi,” for a smooth learning experience.

Enroll Now to embark on your journey towards innovation and safety! 🚀🚫💥

Join us, and together, let's build smarter, safer worlds with technology. Your future in tech and innovation starts here! 🌟

Course Gallery

Raspberry Pi based Smart Emergency Alert System Helmet – Screenshot 1
Screenshot 1Raspberry Pi based Smart Emergency Alert System Helmet
Raspberry Pi based Smart Emergency Alert System Helmet – Screenshot 2
Screenshot 2Raspberry Pi based Smart Emergency Alert System Helmet
Raspberry Pi based Smart Emergency Alert System Helmet – Screenshot 3
Screenshot 3Raspberry Pi based Smart Emergency Alert System Helmet
Raspberry Pi based Smart Emergency Alert System Helmet – Screenshot 4
Screenshot 4Raspberry Pi based Smart Emergency Alert System Helmet

Loading charts...

Related Topics

1191268
udemy ID
24/04/2017
course created date
25/07/2019
course indexed date
Bot
course submited by