Automated Baggage Handling

About Automated Baggage Handling

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.

The global baggage handling system market is projected to grow to USD 13.7 billion by 2025. To serve this market, Fizyr vision software enables Airport Handling system (AHS) providers like Vanderlande, Siemens, Fives to build fully automated Baggage Handling Systems. Our deep learning algorithms are trained for: • Segmentation: Detecting doubles, overlaps and side-by-sides on a conveyor. • Classifications: Including hard and soft shells, non-conveyables 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 baggage each second.

Keywords

• 3D Vision
• Ai
• Baggage Handling
• Machine Learning
• Robotics
• Vision Guided Robotics

Address

• Headquarters

  Julianalaan 67A2628BC DelftZuid-Holland, Netherlands