Create a Raspberry Pi Smart Security Camera
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
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
Frameworks and tools covered: Python 3.6, Anaconda 5.2, OpenCV-Python 3.4.1, Twilio 6.16.3, Twilio Services
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Facilities
Location
Start date
Start date
About this course
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.
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 3 years
Subjects
- Access
- Camera
- Image
Course programme
Intro 3:54
Intro 3:54
3:54
Anaconda Development Environment 8:35
Anaconda Development Environment 8:35
8:35
1-1 Summation Notation 18:39
1-1 Summation Notation 18:39
18:39
1-2 Numpy Matrix Elements Sum 5:45
1-2 Numpy Matrix Elements Sum 5:45
5:45
1-3 L1 Norm 10:11
1-3 L1 Norm 10:11
10:11
1-4 Numpy L1 Norm 6:35
1-4 Numpy L1 Norm 6:35
6:35
1-5 Sum of Squared Errors 7:58
1-5 Sum of Squared Errors 7:58
7:58
1-6 Numpy Sum of Squared Errors 4:40
1-6 Numpy Sum of Squared Errors 4:40
4:40
1-7 Mean Squared Error 10:20
1-7 Mean Squared Error 10:20
10:20
1-8 Numpy Mean Squared Error 3:00
1-8 Numpy Mean Squared Error 3:00
3:00
1-9 Structural Similarity 9:49
1-9 Structural Similarity 9:49
9:49
2-1 Raspberry Pi 5:19
2-1 Raspberry Pi 5:19
5:19
2-2 Setting up our environment 5:12
2-2 Setting up our environment 5:12
5:12
2-3 Reading a Video Frame 7:01
2-3 Reading a Video Frame 7:01
7:01
2-4 Reading the Entire Video 7:55
2-4 Reading the Entire Video 7:55
7:55
2-5 Detecting an Intruder 9:13
2-5 Detecting an Intruder 9:13
9:13
2-6 Improving Efficiency 6:14
2-6 Improving Efficiency 6:14
6:14
2-7 Twilio 5:50
2-7 Twilio 5:50
5:50
2-8 Sending a Text Message 5:12
2-8 Sending a Text Message 5:12
5:12
Conclusion 2:44
Conclusion 2:44
2:44
Additional information
Create a Raspberry Pi Smart Security Camera