Create a Raspberry Pi Smart Security Camera

Course

Online

Price on request

Description

  • Type

    Course

  • Methodology

    Online

  • 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

Online

Start date

Different dates availableEnrolment now open

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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Reviews

This centre's achievements

2021

All courses are up to date

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

On-demand, 24/7 access 2.4 hours of video Certificate of completion Source code and PDF notes Closed captions

Create a Raspberry Pi Smart Security Camera

Price on request