Sleip AI - Computer Vision Assessment of Lameness in Horses
| Reference number | |
| Coordinator | Sleip AI AB |
| Funding from Vinnova | SEK 300 000 |
| Project duration | June 2020 - October 2020 |
| Status | Completed |
| Venture | Innovative Startups |
| Call | Innovative Startups step 1 spring 2020 |
Important results from the project
The project goal was to complete the construction of our prototype for AI computer vision solution (as a mobile app) and launch this app to smaller group of test users. The user feedback from this stage will subsequently be used for continued development of the product, both in terms of technology as well as an enhanced design. This is for the purpose of achieving an outstanding value to the user, as well as a truly great user experience.
Expected long term effects
So far the result has been over expectations. The received grant has enabled us to expand the team with one additional full-time engineer. As a result the first iteration of the prototype could also be launched earlier than planned to a small group of test users. From their feedback a few important technical improvements were identified, prioritised in the workflow, and executed. This ahead of the expanded larger recruitment of test users. The early feedback from the first trial also helped us to identify additional key customer groups, which also were included to the expanded group.
Approach and implementation
All the technical improvements were executed in parallel. But occasionally with intermittent sprints for dedicated focus on a particular area with identified key needs. The technical area divisions are: (i) mobile app (ii) webapp (iii) backend & databases (iv) admin tooling (v) neural networks stack (iv) signal processing pipeline and (vii) remote hardware configuration for high performance computing. The design pipeline had a separat track. This workflow was initiated only at the very end of the project, and subsequent to the guiding user inputs first having been generated.