Create a Raspberry Pi Smart Security Camera

This title is part of the Python Computer Vision Mini-Degree

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.

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.

Learning goals:

• Summation Notation
• Image Similarity Metrics:
  • Sum Squared Errors
  • Mean Squared Errors
  • Structural Similarity
• Video processing

About the Python Computer Vision Mini-Degree

The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.

With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.

Unlock Your Completion Certificate

By completing any of our courses you’ll be awarded with a certificate with URL verification. Boost your LinkedIn profile with your newly acquired skills and impress potential employers and customers.