Enabling robots to pick unknown objects from bulk
Computer vision software for automated picking
Fizyr is specialized in segmenting, classifying, doing quality control and finding the best grasp poses for picking unknown items that vary in shape, size, color, stacking, etc. Thanks to our deep learning algorithms, robots are able to pick any object from bulk for e-commerce, warehouses, logistics and more.
Plug-and-play software product for various industries
Multiple system integrators and e-fulfilment providers have trusted Fizyr’s software in online retail, warehouse automation and parcel handling services.
It is highly successful in various conditions and allows sensors to deal with:
- Closely stacked or overlapping objects
- Highly reflective items and apparel in poly-bags
- White-on-white / Black-on-black flats
- Transparent objects
For an extensive list of more objects Fizyr algorithms can detect, visit our solution page.
Successfully applied in multiple picking applications
Fizyr algorithms integrate with any system and allow robots to cope with extreme variation in applications, such as:
- Piece / Order picking
- Unstructured picking
- Apparel/fashion picking
- Low volume – High mix picking
- Random bin picking, and more.
By being hardware agnostic, Fizyr software is widely used in many different industries, including e-commerce, micro-fulfilment, retail, food, manufacturing, farm picking, kitting, etc.
| Detection list including: | |||
|---|---|---|---|
| Boxes | Towels | Accessories | Free-hanging straps |
| Cardboard boxes/bags | Deformable objects | Groceries | Loose plastic |
| Satchels | Transparent objects | Bags of milk powder | Damaged goods (incl. gradation) |
| White-on-white / Black-on-black | Reflective packaging | Cosmetics, health and beauty products | Dangerous goods (ex. flammables) |
| Tubes / Cylinders | Clothing in polybags | Closely stacked objects | Fragile items |
| Apparel/Garments/Textiles | Electronics | Overlapping objects | Loose load |