Deep Learning: the future of warehouses
The logistics end e-commerce sectors are rapidly growing, demanding more and more automation to meet the increasing requests. The main challenge is represented by the large variability present in the warehouses, where a single robotic cell must be able to deal with hundreds of thousands of different products. Deep learning candidates itself as the perfect solution, thanks to its ability to generalize from a sub-section of the dataset. Fizyr has successfully developed and integrated a deep learning vision solution capable to help robotic integrators to handle such a large variation of goods. In this presentation, an overview of Fizyr’s solution is presented and advantages and challenges resulting from the use of deep learning in this industrial application are introduced, focusing on aspects such as scalability and reliability.
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