Enabling robots to grasp unknown parcels from (conveyed) bulk
Plug-and-play vision software for parcel handling
Fizyr is specialized in segmenting, classifying, quality
control and finding the best grasp locations of parcels
that vary in shape, size, colour, stacking, etc. Our deep
learning algorithms are used to enable automated
picking of unknown parcels from bulk for e-commerce, warehouses, logistics and more.
Trained and proven in global parcel singulation
Detecting doubles, overlaps and side-by-sides on a conveyor.
Including boxes, plastic bags, padded mailers, flyers, flats and other relevant information.
- 6 DOF Grasp Poses
Proposing the best grasp strategy based on all classifiers. You can configure your preferred multi-suction gripper. Our software will propose which (combination of) different suction cups to apply. The algorithm can provide the grasp poses of >100 parcels each second.