Automated bin picking and sorting of metal parts

a Case Study at a Construction Materials Manufacturer

A Japanese construction materials manufacturer succeded to automate multiple process including bin picking, front/back orientation detection, and alignment of metal plates randomly stacked.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Automatically weigh, inspect, and balance up to 70 blades in 25 minutes

Before: Operators manually pick metal plates from a randomly stacked pile, determine their orientation, and place them in an aligned arrangement into containers

Heavy workload
In addition to repetitive tasks, handling heavy parts places a significant physical burden on operators
Risk of human error
Incorrect front/back identification can occur, impacting quality
Limited throughput
Manual operation limits the number of parts processed per day, constraining productivity

Scan serial/parts numbers and document measurements

After: Multiple processes were automated using the Eureka AI Vision System

Bin picking of metal parts
Stable detection of reflective metal parts using the Eureka 3D Camera without pattern projection

Front/back orientation detection
High-precision identification of subtle surface features using a 2D camera
Aligned placement
High-precision robot motion control enabled by the Eureka Controller

System integration
Centralized control of the entire workflow using multiple devices, managed by the Eureka Controller with flexibility for future expansion