Speedsorter

Speedbot Automated Sorting System

Automated inspection, measurement, sorting and stacking of steel parts in the heavy equipment industry

  • Capable of identifying one part from any number of different parts in a visual range with 99.9% accuracy in under 2s whether the robot is fixed in place or the cameras are installed on a working robot
  • Reinforcement learning is used to make efficient use of the bin where parts are packed. Parts can be sorted by tray availability, type of part, or number of parts
  • Proprietary AI technology allows precise part identi
    fication, even in poor or complex lighting environments and dirty/ dusty environments
  • Works with industry-standard robots such as ABB, YASKAWA, FANUC, and KUKA
  • Highly adaptive software connects with MES, SCADA systems, or other systems for real-time feedback

Speedbot Automated Sorting System For Small Parts

Collaborative Picking

Highly collaborative articulated robots using proprietary anti-collision software, real time tracking and the latest in route planning logic to optimize the picking of parts in a defined work zone.

Collaborative Sorting

Parts moving on a conveyor belt are sorted dynamically. This module is capable of identifying over 10,000 different workpieces, tracking their realtime position, in order to provide coordinative guidance for the robots.

SpeedSorter with AI Enhanced Vision

High precision grasping, inspection, measurement, sorting and dynamic position and placement controls system

  • Capable of identifying one part from any number of different parts in a visual range with 99.9% accuracy in under 2s whether the robot is fixed in place or the cameras are installed on a working robot.
  • Reinforcement learning is used to make efficient use of the bin where parts are packed. Parts can be sorted by tray availability, type of part or number of parts
  • Proprietary AI technology allows precise part identification even in poor or complex lighting environments and dirty/ dusty environments.
  • Works with industry standard robots such as ABB, YASKAWA, FANUC, KUKA.
  • Proprietary AI technology allows precise part identification even in poor or complex lighting environments and dirty/ dusty environments.
  • Speedbot’s algorithm enables multi position placement so parts can be picked up and reoriented to a preferred direction or position before placement. The algorithm also determines the placement to optimize available space.
  • Example of Speedbot technology include the world’s first and only automated steel sheet picking and sorting technology, which fully automates the entire production line for pre-cut steel sheets.

Speedbot Automated Sorting System For Large Parts

Collaborative Picking

Two collaborative truss robots can work together to pick up awkward or heavy parts and also independently based on the size of part. Proprietary collision avoidance software keeps robots and parts from bumping each other or any nearby pillars.

Collaborative Sorting

Heavy parts are also moving on a conveyor belt and can be sorted dynamically. This module is capable of identifying over 10,000 different parts in a 10m visual range, tracking their real-time position, in order to provide coordinative guidance for the robots.

AI Enhanced Part Identification

AI Enhanced Part Identification Operating in a complex lighting environments SpeedSorter combines AI and vision technology to effectively eliminate the interference from stains,dust, and shadows and enhance the texture of the cutting seam which allows for high precision work piece identification including posture and position.