Nekomimi vs intelino scratch

A browser specialized for Scratch, a programming environment for children -Only Scratch site (https://scratch.mit.edu/) can be displayed -Since the navigation is eliminated, the entire screen of the iPad can be used with Scratch -Features not required for development with Scratch are not installed (back, forward, URL input, bookmark, etc.) - The key input (0-9, A-Z, arrow key, space key) required when executing Scratch is enabled by using a dedicated keyboard - In order to prevent the screen from being enlarged carelessly, the screen enlargement display function by double tap or pinch in is turned off Scratch is a project of the Lifelong Kindergarten Group at the MIT Media Lab

Intelino Scratch app is a block-based programming editor for the intelino smart train. Scratch™, developed at the MIT Media Lab, is the most popular block-based programming editor used by millions of children worldwide. With Intelino Scratch, you will get access to a full-featured collection of control blocks for the smart train integrated in the familiar environment of the Scratch™ editor. Powered by Scratch 3.0 extension technology, all of the functions of the smart train are at your fingertips: - Movement status and direction events - Distance events - Speed control, pausing and stopping - Wagon decopling - programmable top, front and rear RGB LED lights - split track detection and route planning functions - color command detection and full editing capability - color detection and events In addition to single train programming, Intelino Scratch allows to connect to and interactively program up to 3 smart trains. This capability greatly enhances the creative and learning possibilities and offers a great way to experiment with smart mobility concepts like collision avoidance, autonomous transportation, cooperative driving, resource sharing and more. Additionally, Intelino Scratch offers access multiple open-source extensions: - Experiment with AI and Machine Learning to control the smart train using Teachable Machine and Face, Hand and Body Sensing extensions developed under the Dancing with AI project at the MIT Media Lab. The Teachable Machine extension offers integration with Google's Teachable Machine and allows to easily create and train image- and audio-based models and use them in the Scratch editor. - Use Text-to-Speech, Translate, Music and Pen extensions for extra creative possibilities. - Enable interactivity between the smart train and 3rd-party hardware such as micro:bit™, Makey Makey™ and others.