Improving robot vision with AI

(Success Story)
1 min read
2025 wk15 Volta Flanders Make def Pickit3 D PRINT 8

‘We knew that Flanders Make has strong expertise in AI and computer vision: exactly what we needed. With the available data from customers already using our systems, we put the Flanders Make team to work. We quickly saw promising results.’

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Timothée Habra
CTO Pick-it

Challenge

Making robots see and understand better

Industrial robots are ideal for repetitive tasks such as bin picking, but they struggle in unpredictable environments. This can lead to errors, quality issues and wasted time. Pickit wanted robots to not only “see” with cameras, but also “understand” what they see.

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Technologies

Zero-shot AI segmentation

Together with Flanders Make, Pickit developed an AI solution that does not require specific training for each production environment. The software can draw contours around relevant objects, even in unfamiliar situations, making robots more flexible for use in a wide range of sectors.

Situational awareness tech

Situational and self-awareness technologies

To identify, interrogate, and evaluate both environmental conditions and system states.

Result

From proof-of-concept to pilots

Promising results were achieved with customer data and practical experience. The solution has now been validated by several customers, and pilot projects with companies in the mechanical engineering and automotive sectors are planned.

2025 wk15 Volta Flanders Make def Pickit3 D PRINT 6
Koen VDB

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