Create a Raspberry Pi Smart Security Camera
Build a smart security camera that detects intruders and sends out alert messages using Python.
- 2.4 Hours of Video
- Certificate of Completion
- Project Files
- Closed Captions
- On-demand, 24/7 access
- 2.4 hours of video
- Certificate of completion
- Project files and PDF notes
- Closed captions
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.
- Summation Notation
- Image Similarity Metrics:
- Sum Squared Errors
- Mean Squared Errors
- Structural Similarity
- Video processing
😄 Join 500,000+ Learners and Developers
Trusted by a global community of developers, Zenva has provided world-class training on in-demand programming skills since 2012.
Join the ranks of our successful alumni who have gone on to publish games and apps, advance their careers and start companies.
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.
This course builds up on the concepts covered in our course Learn Python Image Processing.
Python 3 is used in this course.
It is recommended to take this course as part of the Python Computer Vision Mini-Degree, which includes 8 courses on the fundamentals of coding with Python, and teaches core concepts in computer vision.