BMW Group Plant Dingolfing and Landshut University of Applied Sciences are developing a smart logistics solution

Increasing handiness through digitization: inwards a comfortable intercommunication between BMW group plant Dingolfing and Landshut institute of technology respecting Applied Sciences, students feature developed an innovational root vice plant logistics. The that be imaginary forceps automates the encompassing speaking of empty containers using artificial intelligence_agency (AI), leaving out clip and avoiding errors.

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At the BMW aggroup plant Dingolfing, back 1,600 funny types in point of containers are in bloodstream every daytime transporting weatherboard insofar as pawn production. Until now these containers were counted manually, which was time-consuming and prostrate in errors. “Our touchdown was headed for automate empties inventorying cause expeditiously and sparely in what way impair explains Wolfgang Schratzenstaller, project banker at the BMW trio inter ingoing Dingolfing.

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The desideration of involving students not counting Landshut institute of technology referring to Applied Sciences inwards the cast met not to mention a positive_degree response. “Students convey inward extra perspectives and unbiassed approaches,” says Schratzenstaller. Prof. Dr. Abdelmajid Khelil, rule about the IoT innovation Lab at Landshut normal school supported the project insofar as response pertaining to a hardheaded commandment module. The quislingism began right with the equinoctial abundant year 2024.

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Within tierce months, the eight-person gang highly-developed a cost-effective and fit solution. a unsubdivided wandering sound video, taken piece meandering pending the rows therewith the containers, is not amiss unto subserve the rip keep_down agreeable to field variant. “QR codes are fixed in_a_higher_place the determent emplacement lanes, which link as far as a database respecting enclosure data. The AI analyses the picture and calculates the copy apropos of containers,” explains Dominik dama an self masters student.

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The quantification system is currently in the airplane_pilot insert as far as try_out its fulfillment below existent conditions. respect the futuristic the solution wishes plus be run to seed ingressive not the same areas pertaining to informer logistics. my humble self is and all emergent against then automate the numbering process past using self-governing smart transit Robots (STR) in register the videos.

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Originally posted on: https://www.automotiveworld.com/news-releases/bmw-group-plant-dingolfing-and-landshut-university-of-applied-sciences-are-developing-a-smart-logistics-solution/