As part of the company’s “We Win Together” initiative, a group of Stellantis engineers recently met with 64 suppliers and startups from around the world to learn about cutting-edge technology that can boost manufacturing productivity, reduce CO2 emissions, improve quality and cut costs.

An automotive component manufacturer employs a machine vision system to check parts for chips, defects, or broken edges but added Vaira’s AI-based visual inspection app to support faster, more consistent, and traceable decisions during final manual review.

Despite the advancements in automation, humans still play an indispensable role in manufacturing.

CAMBRIDGE, MA—A multimodal system uses models trained on language, vision and action data to help robots develop and execute plans for household, construction and manufacturing tasks.

TOKYO—Engineers at Yazaki Corp. and NEC Corp. are using artificial intelligence technology to generate motion plans for wire harness assembly robots.

MUNICH— Microsoft Corp. and Siemens AG are working together to bring the benefits of artificial intelligence to industries worldwide.

Artificial intelligence technology can streamline inspection applications.

A manufacturer of high-end mission-critical components for aerospace, defense and medical markets uses Vaira’s suite of scaleable AI-based apps to help improve its traceability and product return processes.  

A distributor of OEM and aftermarkets parts for industrial equipment uses Vaira by Pleora, an AI-based visual inspection app, to help ensure its staff sends the right replacement product to customers.

Integrating inspection and checklist apps with new AI object detection and classification skills reduces quality escapes and improves traceability for manufacturers.