Three makers of next-generation pick-and-place robotic technologies have unveiled the world’s first high-reliability robotic picking cell capable of robustly handling transparent poly bags in high-variability, mixed-material environments. This collaboration more than doubles the best throughput speed currently available, with much higher success rates. The cell pairs the Zivid 2+ 3D camera with Fizyr’s deep learning computer vision software to provide unparalleled robustness for handling transparent objects. It can pick, move and place up to 1,200 fast moving consumer goods per hour in high variability environments, including transparent poly bags.
