Automated Truck Unloading

About Automated Truck Unloading

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

Our deep learning algorithm are trained for: • Segmentation: Detecting the physical boundaries of hard-to-see items in a truck. Dealing with closely stacked and overlaps. • Classifications: Including boxes, bags of coffee or cacao beans, milk powder, etc. Detecting packaging material and damages. • 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.

Keywords

• Ai
• Automated Truck Unloading
• Automation
• Deep Learning
• Loose Load
• Machine Vision Software
• Parcel Handlign
• Parcel Logistics
• Truck Loading
• Vision Guided Robotics
• Warehouse Automation

Address

• Headquarters

  Julianalaan 67A2628BC DelftZuid-Holland, Netherlands