We at Bayer are fascinated with the rapid advancements in technology.
Six teams joined our Digital4Eyes competition, to solve challenges in image recognition!
Thanks to the 6 finalists who gave their best in an exciting event and congratulations to the winning Team Jiglabs!
Build a mobile and versatile digital prototype that performs a 4-eyes-check which can be used in many different scenarios and be trained by any qualified employee.
Capture the situation with a mobile camera, process the image, and perform the actual check. The result of the check either confirms or rejects the finding of the operator. It ends with the documentation of the Ditigal4Eyes check.
Learning makes these solutions versatile. Qualified personnel must be able to train the Digital4Eyes solution on new scenarios without the support of experts.
Recognize the state of a system and confirm if it is in the desired state or not.
Recognize if a polished surface is clean. Differentiate shadows or reflections from product residue.
Identify blisters, cartons, leaflets or parts of them in a production line to make sure the all these items are cleared during the transition from one package run to the next.
During the final event these scenarios will be used to evaluate the solutions. The flexibility of the solutions will be tested using variations of the three scenarios.