GO Eco Model Kit
Freely explore your environmentally friendly modular architectural designs with Arckit's reusable components while learning all about what goes into building a modern, sustainable & energy-efficient home.
Overview
Ideal for Budding architects from age 10 years old to learn all about sustainable architectural design while using eco friendly building methods and materials.
GO Eco is the perfect STEM & STEAM educational tool for boys and girls to be enjoyed at home as a step-up from other architectural building blocks toys or in the classroom for school projects.
Arckit GO Eco is a multiple award winner including, a prestigious GoodDesign Award & UK Independent Toy Award Silver Medal.
The GO Eco building kit comes with:
- 117 Arckit pcs. (Architectural building blocks).
- 22 x Reusable Arckitexture decals (including white louvres, light timber, dark brick and vegetation).
- 30 x Arckit cardboard pop-outs (including wind turbine, solar panels, water harvestation tank, air-source heat pump, figurines, trees & furniture).
Add more cardboard pop-outs. - Features a pitched roof design set.
- 1 x Introductory booklet with instructions for 1 design, reusable box.
- A further 3+ alternative building design instructions are available online as well as lots more printable Arckitexture decals and Arckit inspiration.
- Arckit Digital components are also available to build via SketchUp and Revit platforms.
- Package dimensions: 340x220x60mm
- Recommended for age 10+
And remember that all Arckit construction sets are compatible with one another!
Get Inspired
This project shows how to create a security system using the camera of an Arduino Nicla Vision board. The system automatically triggers a camera snapshot when presence is detected. Presence is detected when the system detects a sound level that exceeds a configurable threshold. The whole system is controlled by an Arduino Cloud dashboard.
Shortly after attending a recent tinyML workshop in Sao Paolo, Brazil, Joao Vitor Freitas da Costa was looking for a way to incorporate some of the technologies and techniques he learned into a useful project. Given that he lives in an area which experiences elevated levels of pickpocketing and automotive theft, he turned his attention to a smart car security system. His solution to a potential break-in or theft of keys revolves around the incorporation of an Arduino Nicla Vision board running a facial recognition model that only allows the vehicle to start if the owner is sitting in the driver’s seat. The beginning of the image detection/processing loop involves grabbing the next image from the board’s camera and sending it to a classification model where it receives one of three labels: none, unknown, or Joao, the driver. Once the driver has been detected for 10 consecutive seconds, the Nicla Vision activates a relay in order to complete the car’s 12V battery circuit, at which point the vehicle can be started normally with the ignition. Through this project, da Costa was able to explore a practical application of vision models at-the-edge to make his friend’s car safer to use. To see how it works in more detail, you can check out the video below and delve into the tinyML workshop he attended here.