Revolutionary AI Lego Sorter Recognizes Every Brick Shape Effortlessly

For many enthusiasts, exploring a heap of Lego bricks is part of the joy of building. However, if you have a vast collection or complex designs, you likely employ a sorting system to manage your pieces. Enter YouTube user Daniel West, who ingeniously merged his passion for Lego with his engineering expertise to create a universal Lego sorter utilizing a neural network. This innovative device identifies, classifies, and organizes Lego pieces more efficiently than any human could.

Constructed from 10,000 Lego bricks, West's universal Lego sorter took two years to develop and refine. It features six Lego motors and nine servo motors that power conveyor belts and agitators, transporting each piece to a video camera. A Raspberry Pi processes the video feed, sending data to a laptop running a convolutional neural network application. This AI-driven software compares each brick against a comprehensive database of 3D models of every Lego piece ever produced. Once a match is found, the neural network relays the information to the sorter, which knows exactly which of its 18 sorting buckets to use. Remarkably, this machine can process about one brick every two seconds.

West's creation exemplifies Lego's versatility as a building platform. While young children can easily snap bricks together to form simple shapes, older users can engineer sophisticated hardware by integrating technology. Currently, Amazon and Lego are hosting a contest that encourages builders to fuse Lego with technology. Participants can work with Alexa voice commands and Lego Mindstorm sets for a chance to win a trip to Denmark and Amazon gift cards for their inventive creations.