IOT with Raspberry Pi > Interfacing Camera

Clicking Images using IR Sensor with Python3 and Raspberry PI

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Python code to take still photos:

  • Add a camera to your code.
  • camera. start preview() camera. sleep(5) camera. capture('/home/pi/Desktop/image.jpg') camera. stop preview()
    Execute the code.

A dedicated camera input connector on the Raspberry Pi allows users to record HD video and high-resolution photographs. Users can construct programs that take photographs and video and analyze them in real time or save them for later processing using Python and particular libraries written for the Pi.

Python is pre-installed on the Raspberry Pi, so you can start constructing your own Raspberry Pi projects right now.

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Hardik Patel
5

I just learnt this course and many of my concepts are clear now about Raspberry Pi

P
Prabhat Yadav
5

Superb and amazing 😍🤩 enjoyable experience.

R
RAVAN RATHORE
5

good

H
Hemant Ramphul
5

Wow.. Thank you very much.. your explanation is so easy to understand, simple and straight forward.

R
Roshan Channe
5

you are the best...!!!

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Rahul Singh
5

I like this course

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Akash Rawat
5

Thank you for amazing lectures and discussions! I learned a lot and benefited from your course! Thank you!

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Lambodar Waghmare
5

hello.. first of all thank you so much to learn vern ... im robotics engineering student ... i was learn complete IOT ARDUINO from learnvern and made a lots of project ... now thanks for rasbp tutori

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Course Content

  1. Introduction
    9m 30s

  1. Getting Started with Raspberry PI
    1m 59s
  2. Introduction - Raspberry PI
    20m 54s
  3. The First Glimpse of Raspberry PI Hardware
    6m 35s
  4. Software Requirements and Installation for Raspberry PI
    4m 40s
  5. Operating System Installation of Raspberry PI
    8m 41s
  6. Interface of Raspberry PI to Computer with Putty Hyperterminal
    9m 28s
  7. Operation of Raspberry PI through VNC
    9m 3s
  8. Operation of Raspberry PI through Xming
    15m 12s
  9. Operation of Raspberry PI as a Computer
    11m 47s
  10. Assignment : Introduction to Raspberry Pi
    1m 52s

  1. Introduction of Python for Raspberry PI
    11m 10s
  2. User Input in Python for Raspberry PI
    15m 10s
  3. Algebraic Operations in Python for Raspberry PI
    8m 22s
  4. Loops, Arrays and Strings in Python for Raspberry PI
    17m 6s
  5. Working with Functions in Python for Raspberry PI
    14m 33s
  6. Assignment : Python Basics
    2m 3s

  1. Working with LEDs with GPIO Board and Raspberry PI
    23m 39s
  2. Pulse Width Modulation with Raspberry PI
    27m 42s
  3. Working with Digital inputs in Raspberry PI
    14m 27s
  4. Interfacing Servo Motor with Raspberry PI
    23m 17s
  5. Combination of Servo Motor and Digital Inputs with Raspberry PI
    21m 6s
  6. Assignment : Working with GPIO and Servo Motor
    2m 58s

  1. Installation of Arduino IDE in Raspbian OS
    12m 48s
  2. Serial Communication of Arduino with Raspberry PI
    15m 11s
  3. Assignment : Arduino Pi communication
    1m 18s

  1. Interfacing Ultrasonic Sensor with Raspberry PI
    19m 53s
  2. Decision Making with Single LED Ultrasonic Sensor with Raspberry PI
    11m 49s
  3. Decision Making with Multiple LEDs Ultrasonic Sensor with Raspberry PI
    13m 58s
  4. Combination of Ultrasonic Sensor and Servo Motor with Raspberry PI
    13m 32s
  5. Interfacing Potentiometer with Raspberry PI
    22m 58s
  6. Interfacing Multiple Analog Inputs with Raspberry PI
    10m 24s
  7. Interfacing Light Dependent Resistor with Raspberry PI
    14m 15s
  8. Interfacing Temperature Sensor with Raspberry PI
    10m 57s
  9. Interfacing Internal Temperature Sensor with Raspberry PI
    12m 13s
  10. Joystick Interfacing through ADS1115 with Raspberry PI
    6m 44s
  11. Controlling Servo Motor using Joystick with Raspberry PI
    8m 22s
  12. MPU-6050 Gyroscope with Raspberry PI
    12m 26s
  13. Assignment : Working with Sensors
    2m 11s

  1. Introduction to 16 X 2 LCD
    15m 44s
  2. Controlling 16 X 2 LCD through Raspberry PI
    16m 57s
  3. Displaying Pot Value on LCD through Raspberry PI
    15m 14s
  4. Interfacing 4X3 Keypad using Raspberry PI
    12m 27s
  5. Simplified Program of 4 X 3 Keypad
    7m 6s
  6. Controlling RGB LED using 4 X 3 Keypad
    12m 42s
  7. Assignment : LCD and Keypad Interface
    1m 53s

  1. Controlling DC Motor through Raspberry PI
    9m 17s
  2. Triggering DC Motor through External Function with Raspberry PI
    8m 56s
  3. Controlling Bulbs with Relay using Raspberry PI
    13m 22s
  4. Assignment : Camera Interfacing
    1m 50s

  1. Displaying Potentiometer Data on GUI with Raspberry PI
    10m 59s
  2. Introduction to GUI in Python using Tkinter
    15m 17s
  3. Editing GUI in Python
    10m 24s
  4. GPIO Control using GUI in Raspberry PI
    17m 12s
  5. RGB LED Control using GUI in Raspberry PI
    23m 36s
  6. Creating and Testing Slider using GUI in Raspberry PI
    16m 43s
  7. Programming Sliders using GUI in Raspberry PI
    7m 6s
  8. PWM using Sliders in Raspberry PI
    12m 36s
  9. Controlling Servo Motor using GUI in Raspberry PI
    11m 12s
  10. Assignment : Graphical User Interface
    1m 20s

  1. Installing OpenCV
    9m 15s
  2. External Webcam Interfacing using Python3 with Raspberry PI
    7m 16s
  3. Clicking Images through Webcam using Python3 and Raspberry PI
    7m 17s
  4. Clicking Images using IR Sensor with Python3 and Raspberry PI
    5m 54s
  5. Controlling Webcam using GUI with Raspberry PI
    8m 36s
  6. Interfacing Raspberry PI Camera using Python3
    10m 50s
  7. Image Effects using Python3 and Raspberry PI
    18m 38s
  8. Assignment : Interfacing Camera
    2m 5s

  1. Robot Assembly and Circuit Preparation
    14m 10s
  2. Robot Control through Python
    18m 7s
  3. Robot Control using Joystick
    7m 20s
  4. IoT using Adafruit Web Server
    12m 19s
  5. GPIO Control using Adafruit Web Server
    5m 37s
  6. Home Automation through Adafruit Web Server
    7m 38s
  7. IoT based Data Acquisition using Adafruit Web Server
    13m 16s
  8. Image Capturing using Webcam and Machine Learning Algorithm
    13m 35s
  9. Face Recognition using Webcam and Machine Learning Algorithm
    11m 36s

  1. Course Summary
    6m 9s

  1. Interview Questions
    13m 20s

  1. Career Guideline
    3m 20s
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