Fizyr’s modular software segments, classifies, does quality control and finds the best grasp poses of items and parcels that vary in shape, size, color, stacking, material, etc. Our deep learning algorithms allow robots to pick unknown objects from bulk or conveyors, with over 99% success rate in picking precision.
Fizyr’s modular software enables robots to cope with unknown boxes or bags in:
- truck / container unloading
- dead-pile or loose load
- accurate placement on telescopic conveyors
For an extensive list of more objects Fizyr algorithms can detect, visit our solution page.