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CircuitPet

SKU TPX00143 Barcode 3859893644634 Show more
Original price €0
Original price €139,56 - Original price €139,56
Original price
Current price €139,56
€139,56 - €139,56
Current price €139,56
VAT included

Build & Code Your Own Handheld Virtual Pet!

Overview

CircuitPet is a DIY virtual pet similar to Tamagotchi. This gadget teaches about RTC (real-time clocks), microcomputers and other electronic components, TFT LCD displays, embedded programming, video game mechanics, coding in C++. 
Like any other pet, you can play with it, take care of it, love it and help it grow!

Unlike other pets, you can take a break from CircuitPet. But even a digital pet can break down if you leave it without love for too long. Don't let your duckie rust! 
Check-in every once in a while to make sure it has everything it needs to be happy.

No prior knowledge needed.

6 Pre–loaded Mini–games

  • Collect XP with fun minigames
  • Keep your pet happy
  • Keep the rust away
  • Level up your character

Tech specs

In the box, you will get:

  • Main circuit board
  • Acrylic casing
  • Anyard
  • Pushbuttons
  • Metal bolts
  • Brass spacers
  • Black buttoncaps
  • RGB LED
  • Piezzo buzzer
  • Li-Po Battery
  • Female pin header
  • Male pin header
  • Display board

Get Inspired

BLOG
Automate 35mm film scanning with Arduino and Python
Automate 35mm film scanning with Arduino and Python
September 24, 2020

While taking photos today is normally a digital affair, there is a wealth of visual information stored on film negatives. Digitization is possible, but it tends to be rather time-intensive, so photographer/hacker Seckin Sinan Isik decided to automate the process. His setup uses a film carrier augmented with a stepper motor and belt drive to advance the 35mm film under a tripod-mounted digital camera. This is controlled by an Arduino Nano, with the camera’s view shown via a video capture device on a nearby computer. In one mode, the user can adjust the film position semi-manually using pushbuttons, then scan the negative. The whole process can also be automated, with a Python computer vision routine. More details on the project can ben found in Isik's PetaPixel article here.

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