Sections covering both the theory and practical applications are included in this course. The theory videos demonstrate the building blocks so that you can understand how it all works. Topics taught in this course include summation notation, image similarity metrics, and video processing. Image similarity is a set of tools that we can use to compare images, which then helps us determine how similar they are.
A Raspberry Pi is not required to benefit from this course. The program can be run using the webcam in your laptop or desktop computer.
This course will guide you through creating a fully-functional and smart security camera, using a Raspberry Pi or the webcam on your device. The purpose of the application in this course is to detect movement in the video footage and subsequently execute an action, such as sending out an email or an SMS.
Software developer and founder of ZENVA. Since 2012, Pablo has been teaching online how to create games, apps and websites to over 200,000 students through the Udemy and Zenva Academy platforms, and created content for companies such as Amazon and Intel.
Pablo is a member of the Intel Innovator Program in the Asia Pacific, and has run live programming workshops in San Francisco, Brisbane and Bangalore.
Pablo holds a Master in Information Technology (Management) degree from the University of Queensland (Australia) and a Master of Science in Engineering degree from the Catholic University of Chile.
Software Developer and Researcher at The Ohio State University in Columbus, Ohio, USA in Human-Computer Interaction (with a focus in Computer Vision and Artificial Intelligence).
Mohit has been teaching mobile app development since 2013 and has published over 6 courses on iOS and Android app development. He has authored two free eBooks on programming languages: Swift Programming for Human Beings and Java Programming for Human Beings.
Mohit's research interests and expertise are in computer vision, neural networks, classification, and other AI topics.