IoT Capstone: Build a Mobile Surveillance System
Design and build an IoT surveillance system using sensors, communication protocols, and actuators on the DragonBoard 410c platform.
Design and build an IoT surveillance system using sensors, communication protocols, and actuators on the DragonBoard 410c platform.
In this capstone project for the Internet of Things specialization, students will design and build their own system using at least two sensors, one communication protocol, and one actuator. The course provides a template for a surveillance system featuring an off-grid solar-powered workstation as a hub for multiple surveillance sensors, but encourages creativity in project design. Participants will gain hands-on experience in system design, development, and testing using the DragonBoard™ 410c platform. The course emphasizes industry-standard documentation practices, including system design documents and unit test reports. Students will also develop their technical communication skills through video presentations of their projects. This practical, project-based approach allows learners to apply and integrate the knowledge gained throughout the IoT specialization.
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What you'll learn
Design systems using mobile platforms, including documentation and presentation skills
Develop systems interfacing multiple sensors and actuators with the DragonBoard™ 410c
Specify, run, and report on unit tests and system tests as done in industry
Gain experience in making technical presentations and receiving feedback
Apply knowledge from previous IoT courses to a practical, end-to-end project
Skills you'll gain
This course includes:
68 Minutes PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This capstone course for the Internet of Things specialization challenges students to design and build a complete IoT system. Focusing on a mobile surveillance system, learners will integrate multiple sensors, communication protocols, and actuators using the DragonBoard™ 410c platform. The course covers system design, component selection, implementation, and testing. Students will develop industry-standard documentation, including system design documents and test reports. The curriculum emphasizes practical application of IoT concepts, encouraging creativity while providing a structured template for those who need it. The course culminates in a video presentation, allowing students to showcase their projects and enhance their technical communication skills.
Introduction
Module 1 · 24 Minutes to complete
Capstone, Part 1 - Getting ready
Module 2 · 2 Hours to complete
Capstone, Part 2 - Getting set up
Module 3 · 50 Minutes to complete
Final - The last module
Module 4 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
IoT and Mobile Technology Innovation Leader
Dr. Ganz Chockalingam serves as Principal Engineer at the Qualcomm Institute, UC San Diego, bringing over 25 years of expertise in mobile technology and software development. After earning his Ph.D. in Electrical & Computer Engineering from the University of Iowa in 1995, his career path included significant roles at Ford Motor Company's Scientific Research Laboratory and co-founding Coolsync Inc., a web-based single sign-on service. His entrepreneurial journey continued at Wingcast, a Qualcomm-Ford joint venture, where he developed wireless telematics applications. Since joining Calit2-UCSD in 2002, he has led groundbreaking research in mobile applications across health monitoring, telematics, and medical domains. On Coursera, he teaches a comprehensive series of Internet of Things courses, including specialized modules on DragonBoard development, cloud services, and mobile surveillance systems. His academic contributions include numerous IEEE journal publications and service as a reviewer for IEEE Transactions on Automatic Control. His unique blend of industrial and academic experience makes him a leading authority in IoT and mobile technology education, with his courses reaching thousands of students globally through the Coursera platform.
Healthcare Technology Innovator and Signal Processing Expert
Harinath Garudadri serves as Research Scientist at the Qualcomm Institute of Calit2, UCSD, transitioning from a distinguished industry career to focus on advancing healthcare technology accessibility. His extensive background spans over four decades, beginning with his education from IIT Bombay and Ph.D. from the University of British Columbia. His career includes 16 years at Qualcomm, where he made significant contributions to speech recognition and audio coding technologies. His impressive portfolio includes 40 granted patents across diverse fields including body area networks, audio processing, video technology, speech recognition, and biomedical signal processing, with an additional 14 pending patents. His current research focuses on healthcare innovation, particularly supporting clinical research for emerging hearing aids and developing technologies to reduce healthcare delivery costs. His work has been instrumental in creating solutions that extend medical care beyond hospital walls through low-power sensing, telemetry of physiological data, and reliable body area networks. His contributions have been widely implemented in commercial cell phones and networks, earning over 3,491 citations for his research publications. At UCSD, he continues to bridge the gap between academic research and practical healthcare solutions, focusing on biomedical signal processing and healthcare technology accessibility.
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