Singapore Army camouflage pattern

AccuPickCase Study

Aerospace and Defense

Automated Packing Using AI

Customer

Solomon partnered with the Singapore Army and the Singapore National Day Parade (NDP) committee to automate the packing of NDP packs (goodie bags) distributed at the parade. In collaboration with Universal Robots, Zimmer Group, and Pocket Technology Pte Ltd, the project aimed to enhance the efficiency and accuracy of the packing process.

Case

Enhancing Efficiency for Singapore’s National Day Preparations

The objective was to develop an automated packing line to handle the high-volume assembly of 300,000 NDP packs, ensuring timely preparation and distribution for Singapore’s National Day celebrations. This pilot project aimed not only to address packing challenges but also to explore future automation in other logistics operations across Singapore.

automated packing system using 10 UR cobots and AccuPick bin picking software

Challenge

Overcoming Manual Packing Limitations

Traditionally, NDP packs were packed manually by military personnel. The Singapore Army sought to transition to automation to improve efficiency and accuracy. Each NDP pack needs to contain a specific set of items, with each pack requiring exactly one of each item. The challenge was compounded by the fact that items are randomly arranged and often overlapped, making it difficult for ordinary picking systems to handle.

Solution

Automated Packing Made Easy with Precision Bin Picking

The automated packing line utilized Solomon’s AccuPick bin picking software, which employs 3D vision technology to pick and place items into NDP packs without programming. AccuPick requires only a few image samples to train the AI model, allowing for rapid adaptation to varying item arrangements. The system, featuring ten UR cobots working in tandem, efficiently managed items that were randomly stacked in bins. Enhanced by AI vision cameras and leveraging NVIDIA cuMotion and Isaac Manipulator technologies, AccuPick provided precise item recognition and sorting. This automation of the packing process reduced manpower needs by about 50%, allowing workers to focus on quality checks instead of manual packing.

Outcome

Successfully packed 300,000 NDP packs in time for the parade with precise AI handling of random item arrangements
Reduced manual labor by 50 percent, allowing workers to focus on quality checks
Seamlessly integrated with partner technologies to deliver a complete solution
Related Posts
  • assorted metal parts

    Metal Parts Bin Picking

    Solomon’s AccuPick and SolScan technology enable accurate component orientation identification, facilitating precise positioning, while AccuPick’s ROS Motion Planning ensures collision-free picking.
    AccuPickBin PickingCase StudiesElectronicsSmart ManufacturingSolScan
  • assorted shiny metal parts

    Shiny Metal Parts Bin Picking

    Solomon’s integrated vision system, including AccuPick and SolScan, enables optimal picking point identification even for overlapping objects.
    AccuPickAutomotiveBin PickingCase StudiesGrindingManufacturingSolScan
  • Red bin with dark plastic auto parts for bin picking automation

    Bin Picking Auto Parts Using AI

    AccuPick + SolScan enhance bin picking for a European auto parts manufacturer, cutting cycle time to 1.6 seconds and boosting efficiency with rapid AI training.
    AccuPickAutomotiveBin PickingCase StudiesManufacturingPick and PlaceSolScan
  • a stack of textile spindles behind a yellow robot arm

    Glass Fiber Bobbin Deracking

    The challenge of accurately identifying the bobbin position in the rack is successfully resolved with the implementation of AI-based robotic 3D vision using SolScan and AccuPick.
    AccuPickCase StudiesDerackingSolScanTextiles and Footwear