| Team Name | Ratio Team |
| Track | Public Sector |
| Use Case |
This case study explores an innovative approach to automatically detect architectural barriers in images of public spaces to promote more inclusive urban environments. |
| Technology |
SAS Viya, Python, Deep Learning |
| Region | EMEA |
| Team lead | Patrizia Schmidt |
| Team members | @IlariaCasati , @salvatore_ , @C_Burragato , @PaloAndre , @grazz94_ , @marco_guarisco , @Ennio_Lessio , @stefanodcg , @Roy_Rosales |
| Social media handles | |
| Is your team interested in participating in an interview? | Y |
| Optional: Expand on your technology expertise |
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