Internet of Things using Augmented Reality in Unity IoTAR
Learn State of the Art Practical Augmented Reality Internet of Things IoTAR using Vuforia and Unity on Particle Photon
What you will learn
Lab 1 - Where we set up out Particle Photon and blink an LED over the Web.
Lab 2 - You will learn the basics of Augmented Reality by setting up Vuforia within the Unity environment… from downloading it to installation, as well as licencing.
Lab 3 - Forms the basis of IoTAR where we blend the boundaries of Internet of thing with Augmented Reality with a simple web dashboard in AR.
Lab 4 - We look at how we can look at ordinary connected objects differently using AR. The thirsty plant project shows just that. It is like you have x ray vision and able to see the water level of plant.
Lab 5 - We use a light dependent resistor or LDR to control the light intensity of an augmented reality camp fire.
Lab 6 - is really cool. Using Multiple Targets in Vuforia, we are able to measure distance in 3D! The app we creating is called RulAR which can make 3D measurement seamless.
Lab 7 - gives you the powers of looking into a 3d skeleton and visualising a heart beating in real time from a pulse heart rate sensor connected to your particle photon.
Lab 8 - You can visualise the temperature of any liquid chromatically. This means if your drink is hot, you AR cup will appear red.
Lab 9 - We visualise force in augmented reality on a gauge as a percentage of total force using a force sensitive resistor.
Lab 10 - We use our particle photon to detect alcohol gas and augments your reality with emissions of virtual gas.
Lab 11 - We move away from the particle photon by fetching weather data off the web. We are able to retrieve the weather in AR for almost any city around the world in real time.
Why take this course?
🌟 Course Title: Internet of Things using Augmented Reality in Unity - IoTAR with Vuforia & Unity on Particle Photon 🌟
🚀 Headline: Master the Art of Blending Augmented Reality with Internet of Things (IoTAR) in Unity SDK! Dive into the future of holograms and transform your Arduino projects with this cutting-edge course.
📘 Course Description:
Are you ready to embark on an exciting journey into the realms of Augmented Reality (AR) and Internet of Things (IoT)? If your answer is a resounding "Yes!", then you've come to the right place. This comprehensive online course, IoTAR with Vuforia & Unity on Particle Photon, is meticulously designed to introduce you to the fundamentals of AR and IoT, enabling you to develop your very own IoTAR applications using Unity SDK.
🔥 Why Choose This Course?
- Unique Offering: This is the only course on Udemy that specializes in teaching IoTAR with Unity SDK, ensuring you learn everything you need efficiently and effectively.
- Expert Instructor: With a Master's Degree in Electronic Engineering and a vast audience of over 46'000 students on Udemy and 62'000 subscribers on Augmented Startups YouTube Channel, our course instructor is a seasoned AR Developer.
- Practical Approach: We emphasize hands-on learning with practical labs, making complex concepts easy to grasp and apply in the real world.
- State-of-the-Art Content: The course features the latest technology, including Vuforia 7, Unity 2017.3, and introduces Vuforia 8, ensuring you are learning with cutting-edge tools.
🔧 What You Will Learn:
This course is structured to take you from zero to hero in IoTAR development with Unity SDK. Here's what you can expect:
- Get Started: Learn how to set up your Particle Photon Development Kit and download the Vuforia SDK for Unity.
- Building Basics: Create a simple AR dashboard that interfaces with your Particle Photon.
- Interfacing Sensors: Master the art of connecting various sensors to your IoT device and visualizing their data in an immersive AR experience.
- Real-World Applications: Discover how to measure water levels, control virtual fires, and create a 3D multi-target detection display, among other practical uses.
- Special Projects: Engage in a special project, E.D.I.T.H., inspired by the AI Smart Glasses featured in "Spiderman: Far From Home."
🕒 Training Duration:
- Approximately 5 hours of content to get you up and running with IoTAR.
🌐 Applications of IoTAR:
- AR business cards, gaming, entertainment, medical, military, industrial & domestic maintenance, navigation, advertising, and more.
🎒 Your Investment & Guarantee: Before you start the course, please ensure you have all the required training material and tools as outlined in the Bill of Materials Lecture (free preview available). You will need to purchase hardware like the Particle Photon Microcontroller and relevant sensors. This ensures a seamless learning experience for you.
🎉 Bonus Offer:
- Verifiable Certificate: Receive a verifiable certificate of completion upon finishing the course.
- 30-Day Money-Back Guarantee: We stand by the quality of our course and offer a full Udemy 30-Day Money-Back Guarantee if you're not satisfied with your learning experience.
Join us today and be part of the IoTAR revolution! 🌐🤖✨
Screenshots
Our review
Overall Course Review:
The course "Global IoTAR with Unity" has received a global rating of 4.00 from recent reviews, indicating a generally positive reception among learners. However, the feedback suggests significant improvements are needed to enhance the learning experience.
Pros:
- Value for Money and Resources: Harald found the course provided excellent value with numerous examples that were easy to follow, saving time and providing satisfaction. The course's ongoing updates keep it relevant and cutting-edge.
- Instructor Responsiveness: One reviewer appreciated the instructor's prompt response to issues encountered by students, which was a positive aspect of the learning experience.
- Comprehensive Content: The course covers IoT integration with Unity-based applications and includes AR (Augmented Reality) implementation, which is a valuable skill set for developers in the current tech landscape.
Cons:
- Cost Considerations: A learner pointed out that the use of Particle Photon boards, which are more expensive than alternatives like NodeMCU/WeMos, could be prohibitive. Additionally, extra BOM (Bill of Materials) charges make the course potentially too costly for some users.
- Prior Knowledge Requirement: The course assumes a certain level of experience with electronics and microcontrollers, such as Arduino or Photon, which may not be clearly stated in the course prerequisites.
- Instruction Quality: Several reviews criticized the instructor's explanation of code, which is central to the course. Learners felt that without a proper understanding of the code, they would struggle to replicate knowledge in their own projects.
- Software Version Issues: Multiple reviews highlighted the use of older versions of Unity and Vuforia software, leading to compilation issues and difficulties following along with the lessons due to outdated content. The course lacks comprehensive updates to accommodate newer software versions.
- Lack of Electronics Coverage: The course's failure to cover electronics thoroughly was another point of contention, as it left students who were new to this area without essential foundational knowledge.
- Content Rushing and Accessibility: Some learners felt that key details were rushed through, with insufficient additional information for those unable to keep up. There were also concerns about the accessibility of the course material for users with disabilities or those requiring different learning paces.
Additional Notes:
- Updates and Improvements: A number of reviewers requested that the course be updated with the latest versions of Unity and Vuforia, and that all videos be upgraded to reflect current best practices.
- Course Relevance and Implementation: One learner found the course's implementation with the 2020 version of Unity promising but noted that it was only covered in a separate project section and not throughout the course, which made the majority of the lessons based on outdated software versions.
- Course Potential: Despite the issues raised, several reviewers expressed excitement about the subject matter and potential improvements to the course, suggesting that with updates and better instruction, it could be an excellent resource for learners.
Conclusion: The "Global IoTAR with Unity" course has significant potential but currently suffers from outdated content, unclear prerequisites, and areas where improvements in instruction quality are needed. To enhance learner satisfaction and provide better value, the instructor should consider updating all course materials to the latest versions of software used, provide clearer guidance on necessary hardware and its alternatives, and offer more comprehensive explanations, especially regarding coding and electronics integration. With these improvements, the course could be a leading resource in the intersection of IoT, AR, and Unity development.