CLINT©- der neue 3D Toolchanger aus dem Baumarkt

Bald schon kommt der Osterhase… und auch

CLINT©, ein 3D Drucker mit automatischer Werkzeugwechselfunktion, der fast ausschließlich mit Materialien aus dem Baumarkt und einem simpleren 3D Drucker gebaut wird.

Dies ist ein Open Source Projekt. Die Design Dateien (OpenSCAD) werden bald komplett hier zu finden sein

https://gitlab.com/chlorisdroid/clint-a-3d-printer-toolchanger.git

CLINT©, der 3D Drucker mit automatischem Wechselwerkzeug, kommt schon bald nach Ostern.

Augmented RPI Pico

A little demo showing the real world Raspberry Pi Pico augmented with it’s own pinout.

It would have been a nice little thing to play with, if not this UGLY THING would have happened

https://uk.pcmag.com/operating-systems/131636/users-upset-as-raspberry-pi-os-now-pings-a-microsoft-server-during-updates

or for the german users

https://www.heise.de/news/Raspberry-Pi-OS-Zoff-um-Microsoft-Paketverzeichnisse-nach-Update-5050653.html

My reaction on this is that

https://github.com/RPi-Distro/raspberrypi-sys-mods/issues/43#issuecomment-777889696

Openbot

An impressive open source project from Intel

Intel brought us a new open source project on github (openbot) that turns your smartphone into an AI device for creating a cockpit for an autonomous vehicle.

It uses the camera of your smartphone for people detection. The base for the android app is one of the tensorflow examples you can find here: https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/android.

The camera (here a Nokia 5.3 with android 10.0) is connected to an arduino (here a arduino micro pro [instead of the original bom listed Arduino Nano])

You can read the full list of features and documentation about this project by downloading the pdf from Intel’s github site.

@article{openbot2020,
author = {Matthias M\“uller and Vladlen Koltun},
title = {{OpenBot}: Turning Smartphones into Robots},
journal = {arXiv:2008.10631},
year = {2020},
}

3D reconstruction with Open3D on a Jetson Nano

Example for 3D reconstruction with Open3D on a Nvidia Jetson Nano with Cuda 10.2 and librealsense support. Camera is a Intel Realsense D435i.

There have only about 300 images been captured. So the reconstructed scene suffers from a really poor quality. During the next days I am going to fine tune things and improve the quality significantly.