Quarky IoT House - Documentation

This IoT House kit is perfect for those looking to explore the world of the Internet of Things. With 15+ different activities, this kit will guide you through the basics of IoT and help you gain a better understanding of how these systems work. The activities range from making simple API requests to creating voicecontrolled smart plugs and RFIDtrusted door-opening systems. Learn about the different components of an IoT system and how to create a dashboard and feed in Adafruit IO. Experience the magic of the Internet of Things with this beginner-friendly kit.

Assembly Instructions for IoT House

Refer to the tutorials to learn how to assemble the IoT House Addon kit.

This tutorial will guide us through the process of assembling the IoT House for Quarky.
This document will show you how to put together the Quarky IoT House Addon kit to make a 1 plant drip irrigation system.
In this document, you will be provided with instructions on how to use the Quarky IoT House Addon kit to assemble a drip irrigation system for two plants.

IoT House Project - Block Coding

Refer to the tutorials to learn how to use PictoBlox Block Coding Environment to code IoT House for different applications

The project detects the number of faces detected on the stage.
The example demonstrates how face recognition works with analysis on the stage.
The example demonstrates how face recognition works with analysis on the camera.
The example demonstrates the application of face detection with a stage feed.
The example demonstrates how to use face landmarks in the projects.
The example demonstrates how to use face detection with a camera feed.
The project shows how to create custom patterns on Quarky RGB LED in Stage Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project makes the Quarky display the expression according to the expression identified from the Face Recognition.
The example shows how to run image classification in Python on a webcam feed using OpenCV.
The example shows how to run image classification in Python on an image file using OpenCV.
The example shows how to run image classification in Block Coding.
The example demonstrates how to use the confidence threshold in face detection (Block Coding).
The example displays how to detect expression using face detection and mimic the expression on Quarky. The expression is detected by the camera.
The example shows how to create a face filter with Face Detection. It also includes how to make the filter tilt with face angles.
The example demonstrates how to use face landmarks in the projects.
The example demonstrates how face recognition works with analysis on the camera.
The example demonstrates how face recognition works with analysis on the stage.
The example demonstrates the use of clone and gliding function in Sprite. 
The example demonstrates how to make the sprite glide to a random position on the stage when it is clicked.
The example demonstrates how to use stamping and the mouse location sensing in Block coding.
The example demonstrates how to use keys sensing to control the movement of the sprite.
The example demonstrates the wall bouncing of the sprite and rotation style.
The example demonstrates how to make the sprite follow the mouse.
The example demonstrates how to add gravity into the project on a bouncing ball.
The example demonstrates how to implement mouse tracking.
The example demonstrates how to add movement to a sprite using the key detection hat block.
The example demonstrates the sprite direction in PictoBlox.
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IoT House Project - Python Coding

Refer to the tutorials to learn how to use Python Coding Environment to code IoT House for different applications

The project detects the number of faces detected on the stage.
The example demonstrates how face recognition works with analysis on the stage.
The example demonstrates how face recognition works with analysis on the camera.
The example demonstrates the application of face detection with a stage feed.
The example demonstrates how to use face landmarks in the projects.
The example demonstrates how to use face detection with a camera feed.
The project shows how to create custom patterns on Quarky RGB LED in Stage Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project shows how to create custom patterns on Quarky RGB LED in Upload Mode.
The project makes the Quarky display the expression according to the expression identified from the Face Recognition.
The example shows how to run image classification in Python on a webcam feed using OpenCV.
The example shows how to run image classification in Python on an image file using OpenCV.
The example shows how to run image classification in Block Coding.
The example demonstrates how to use the confidence threshold in face detection (Block Coding).
The example displays how to detect expression using face detection and mimic the expression on Quarky. The expression is detected by the camera.
The example shows how to create a face filter with Face Detection. It also includes how to make the filter tilt with face angles.
The example demonstrates how to use face landmarks in the projects.
The example demonstrates how face recognition works with analysis on the camera.
The example demonstrates how face recognition works with analysis on the stage.
The example demonstrates the use of clone and gliding function in Sprite. 
The example demonstrates how to make the sprite glide to a random position on the stage when it is clicked.
The example demonstrates how to use stamping and the mouse location sensing in Block coding.
The example demonstrates how to use keys sensing to control the movement of the sprite.
The example demonstrates the wall bouncing of the sprite and rotation style.
The example demonstrates how to make the sprite follow the mouse.
The example demonstrates how to add gravity into the project on a bouncing ball.
The example demonstrates how to implement mouse tracking.
The example demonstrates how to add movement to a sprite using the key detection hat block.
The example demonstrates the sprite direction in PictoBlox.
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PictoBlox Extension Documentation

Refer to the documentation of PictoBlox Extension to understand how to use the blocks and functions for the IoT House.