Daniel West hat ein Neural Network auf 3D-Modelle aller verschiedenen Lego-Steine trainiert und damit eine Lego-Sortier-Maschine aus 10000 Lego-Steinen gebaut. Impressive. –>
As Daniel tells us, the inspiration came in 2011 after seeing other sorting machines [by Akiyuki, here’s one, here’s another] on Youtube, but work didn’t start until 2016 while he was studying “computer vision” at university. Unfortunately, early tests didn’t work, until a year later when he realized he should implement AI. The building portion took about 6 months, with many iterations by trial and error. The most difficult parts to incorporate were the vibrating feeder and output buckets. But the real triumph was the programming development, which took a whopping 2.5 years! For the programming geeks out there: Daniel used Python to write the code, as well as Tensorflow for the machine learning framework. Processing 25 million images also required a huge amount of computing power: Daniel used Amazon Web Services (AWS) to perform 2 years of CPU core time in just over a day!