Internet of Things Capstone V2: Build a Mobile Surveillance System (Coursera)

Internet of Things Capstone V2: Build a Mobile Surveillance System (Coursera)

In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our courses to achieve a robust, practical and/or fun-filled project. We absolutely encourage you to design whatever you can think up! This is your chance to be creative or to explore an idea that you have had. But if you don’t have your own idea, we provide the description of a surveillance system, for you to build. We will participate in the Capstone with you by building a surveillance system that features an off-grid solar powered workstation that will serve as a hub to multiple surveillance sensors.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

You will be able to demonstrate the knowledge and skills you have gained in this course through delivery of industry-appropriate documents such as System Design documents and Unit Test reports. Additionally, you will be asked to describe and show case your project as a short video presentation – appropriate for demonstrating your knowledge and technical communication skills.
Learning Goals: After completing this Capstone, you will be able to:

  1. Design systems using mobile platforms. You will gain experience in documenting and presenting designs.
  2. Develop systems that interface multiple sensors and actuators to the DragonBoard™ 410c system and develop the necessary software to create a fully functional system.
  3. Specify unit tests and system tests, run tests and prepare Test Reports as are commonly done by those working in this industry.
  4. Gain experience (and feedback!) in making technical presentations.

Course 6 of 6 in the Internet of Things and AI Cloud Specialization.

Syllabus

WEEK 1
Introduction
Welcome to the Internet of Things! Before diving into this course give us a chance to let you know what it is all about! We will walk you through a module by module outline that will give you highlights on the interesting aspects of the course.

WEEK 2
Capstone, Part 1 - Getting ready
This section will go over the approach our team took while setting up the Capstone project. Here you will see some diagrams, as well as the system components which were used to build our entire systems. We offer recommendations, highlights and examples as to how you can reduce or expand on the project we provide as a template.

WEEK 3
Capstone, Part 2 - Getting set up
In this module you will get to see everything! All of the components we purchased for our project as well as some alternative that might help you cut the price or increase the power of your own system. Once we look at everything we will be using to build our system, we will quickly put it together and test it outside in the sun.

WEEK 4
Final - The last module
This module consists of a peer review assignment with two submission requirements. Please read the peer review assignment carefully and submit the required files for review from your classmates. We here look forward to seeing all of the exiting projects you come up with! Remember: If there are any questions, comments, concerns, or if you would just like to show off some pictures or videos, please go to the discussion section and post. I am sure your classmates would love to help and/or hear about your project.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Building Products at Global Scale (Coursera) Coursera
Advancing Women in Tech

Building Products at Global Scale (Coursera)

In the previous course, Inspiring Peak Performance on Technical Teams, you learned about how to lead each individual team member to achieve a new personal best every day. Now, learn the skills that transcend the boundaries of your team and enable top tech companies to deliver the most popular and viral products and applications used by billions of people billions of times per day. Gordon YU, Technical Program Manager (TPM) at AWS Data Protection presents skills necessary to manage global programs, drive major product launches, and design system architectures.

Sep 7th 2026
3 Weeks
Data Collection: Online, Telephone and Face-to-face (Coursera) Coursera
University of Michigan

Data Collection: Online, Telephone and Face-to-face (Coursera)

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.

Sep 7th 2026
4 Weeks
Applied Industrial Internet of Things (Coursera) Coursera
L&T EduTech

Applied Industrial Internet of Things (Coursera)

Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. The major objective of this course is to equip learners with advanced technical process of Data Collection in such Digital Industries. Thus, comprehensive course on “Applied Industrial IoT” provides a deep dive into the evolution of industrialization, from the phases of the Industrial Revolution to the transformative landscape of the Industrial Internet of Things (IIoT).

Sep 7th 2026
5-12 Weeks
Foundations of IoT Systems and Industrial Automation (Coursera) Coursera
LearnQuest

Foundations of IoT Systems and Industrial Automation (Coursera)

This comprehensive course offers learners a deep dive into the world of IoT systems and their integration with Industrial Automation. Uncover the historical roots and architectural nuances of IoT, emphasizing the pivotal role of sensor technologies and diverse communication tools. Through this exploration, participants will establish a solid foundation in IoT concepts, understanding how its components collaborate, exploring various sensor types, and evaluating communication protocols.

Sep 7th 2026
3 Weeks
Programming with Cloud IoT Platforms (Coursera) Coursera
Pohang University of Science and Technology - POSTECH

Programming with Cloud IoT Platforms (Coursera)

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data.

Sep 21st 2026
5-12 Weeks
Artificial Intelligence: Ethics & Societal Challenges (Coursera) Coursera
Lund University

Artificial Intelligence: Ethics & Societal Challenges (Coursera)

Artificial Intelligence: Ethics & Societal Challenges is a four-week course that explores ethical and societal aspects of the increasing use of artificial intelligent technologies (AI). The aim of the course is to raise awareness of ethical and societal aspects of AI and to stimulate reflection and discussion upon implications of the use of AI in society.

Sep 21st 2026
4 Weeks
Version Control with Git (Coursera) Coursera
Atlassian

Version Control with Git (Coursera)

The Version Control with Git course provides you with a solid, hands-on foundation for understanding the Git version control system. Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs. It is a core component of DevOps, continuous delivery pipelines and cloud-native computing. You could also use Git to manage the many continuously improving revisions of that book that you are writing.

Sep 7th 2026
4 Weeks
Cadeia de Suprimentos na Nuvem (Coursera) Coursera
FIA Business School

Cadeia de Suprimentos na Nuvem (Coursera)

Nossas boas-vindas ao Curso Cadeia de Suprimentos na Nuvem. Neste curso, você aprenderá como o supply chain pode ampliar o valor da empresa explorando as diversas ferramentas disponíveis em cloud para potencializar a visibilidade e a responsividade da cadeia, melhorando o nível de serviço prestado aos clientes.

Sep 14th 2026
5-12 Weeks
IoT Communications (Coursera) Coursera
University of Illinois at Urbana-Champaign

IoT Communications (Coursera)

This course builds on the previous course: IoT Devices. After we have built and programmed a small self-driving vehicle, now it's time get into more advanced territory and enhance the device's connectivity further. To do so you will study radio frequency (RF) communication, the MAC layer, Mesh Networking as well as distributed algorithms for use with geographic locations. These techniques will be applied to your device in the lab, which is composed of four steps, one in each week of the course.

Sep 7th 2026
4 Weeks
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Sep 14th 2026
4 Weeks
IoT Communications and Networks (Coursera) Coursera
Institut Mines-Telecom

IoT Communications and Networks (Coursera)

By presenting the building blocks of the IoT network architecture, this MOOC will help learners adapt to the fast changing communications and networking environment of IoT. The IoT world represents billions of sophisticated objects, such as sensors, actuators and meters, that are deployed nearly everywhere, in homes, hospitals, factories, cities, and are connected to the Internet. However, they come with limited capacity in terms of memory storage, computational power and energy; how can these objects then ensure network reliability and timely transmission?

Sep 14th 2026
4 Weeks