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Scoop Detection System

A powerful object detection algorithm to identify the presence of a scoop inside a metal can. The system works with different sizes of cans and can detect different types of scoops (colors, shapes & sizes).

Built using Beckhoff’s TwinCAT vision software, running on Beckhoff IPC and using reliable Balluff Vision hardware components.

Image processing times are extremely short thanks to parallel execution of algorithms on multi-core processors. A typical elaboration time for this application is in the order of 0.17 – 0.185  per product.

For complex & demanding applications CPU Cores can be dedicated to Vision algorithm resulting in a further decrease of elaboration times by 30-35% depending on the application and Vision functions used.

Can tracking precisely detects the position of the Can on the conveyor and can compensate for trigger signal imprecisions.

System is user-friendly, results images and algorithm outcome are integrated into a functional yet simple HMI.

1000

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90+

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73

Lorem ipsum dolor sit amet, consectetur adipiscing elit. 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc ultrices pellentesque mi sit amet porttitor.

 Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus. Integer ut dui ac risus placerat efficitur eget ut nunc. Vestibulum ullamcorper odio vel nibh maximus fermentum.