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Arduino Sketch Adafruit PWM

Arduino Sketch Adafruit PWM

This sketch is used by Exercise: Adafruit PWM I2C Module. Full Source Code The main code is in Adafruit_PWM.ino. /*************************************************** This is an example for our Adafruit 16-channel PWM & Servo driver PWM test – this will drive 16 PWMs in a ‘wave’ Pick one up today in the adafruit shop! ——> http://www.adafruit.com/products/815 These displays use I2C […]

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Creative Console for Space Mouse

Creative Console for Space Mouse!

Hello makers!! For those who already know my Instructable “Space Mouse” https://www.instructables.com/Space-Mouse-With-Ard… there is now an extension for it! The Creative Console!! I designed this console to extend the functionalities of the space mouse keeping the prime concept: keep it cheap, customizable and 3D printable! This project has been challenging, but after all that is

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Arduino Sketch MPU6050 DMP6

Arduino Sketch MPU6050 DMP6

This sketch is used by Exercise: MPU6050 IMU I2C Module. Main Source Code The main code is in MPU6050_DMP6.ino. // I2C device class (I2Cdev) demonstration Arduino sketch for MPU6050 class using DMP (MotionApps v2.0) // 6/21/2012 by Jeff Rowberg <[email protected]> // Updates should (hopefully) always be available at https://github.com/jrowberg/i2cdevlib // // Changelog: // 2013-05-08 – added seamless

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Arduino Sketch CKS Shield 1 Test

Arduino Sketch CKS-Shield-1-Test

This Arduino sketch exercises the standard hardware of the CKS-1-Shield board. It provides a console interface for reading inputs and triggering outputs, and a set of asynchronous state machines for generating test motions. Console Interface static void parse_user_input(int argc, char *argv[]) Process an input message tokenized from a line of console input. New commands may be defined by

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AI Auto Classify Trash Can

AI Auto-Classify Trash Can

This project is a trash can that recognizes and classifies garbage automatically. Use Machine-Learning and Arduino in Scratch. How it works 1. Camera takes an image of garbage. 2. Machine-Learning model recognizes the classification of garbage by the image. 3. Electrical and mechanical parts drive the garbage into diffrent palce by its classification. Beginner-friendly Machine-Learning, Block-coding and

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SMARTWALKER D4E1

SMARTWALKER D4E1

The smartwalker is being developed for a project called “design for everyone” at Howest university college of Applied Sciences (Belgium). We are a group of design and occupational therapy students. This project is specifically made for an individual person: Peter. Peter can’t see nor hear. When he goes to the train station he relies on his

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