Impact AI Activity Recognition for Healthcare with Harro Stokman from Kepler Vision
Today on Impact AI we welcome the CEO and Founder of AI healthcare company Kepler Vision, Harro Stokman. Kepler Vision is using computer vision to aid the healthcare world in recognizing falls in elderly patients, and Harro explains why the specificity of this focus is such a strength for the company.
Using computer vision and an ever-growing dataset to perfectly detect situations where personnel is needed is no small feat, and answers the staffing issues often associated with care facilities during the night. In our chat, Harro explains some of the technical aspects of the software and the major improvements he has overseen recently before going into some connected topics such as privacy concerns, hiring practices, and validating the accuracy of the models. Harro is also kind enough to offer some general comments and advice regarding AI startups, and the areas he believes are most vital for founders to attend to.
So if you would like to hear about a great practical application of AI in the healthcare space, and some thoughts from a leader making waves in some uncharted waters, be sure to listen in with us!
Key Points:
- Harro talks about his academic and professional background and his companies before Kepler Vision.
- The specific problems that Kepler Vision is solving.
- Understanding the role of machine learning in Kepler Vision's service.
- Harro shares the biggest challenges that he and his company have faced.
- The task of building trust and the hiring practices that contribute to this.
- Validating the accuracy of models; Harro unpacks the labor-intensive process.
- The improvements that have been made to the software through iterative updates.
- Measuring the impact of the software; Harro talks about customer satisfaction.
- Advice from Harro to AI startups about hiring and focus.
- Harro shares his vision for the next five years at Kepler Vision and where to find them online.
Quotes:
“Over time, we added more and more examples to our training sets, and we are now at a phase where our software pretty much works out of the box actually.” — Harro Stokman
“So in the field of elderly care and hospital care, our software can look after the wellbeing of elderly clients and that is all we do and we do nothing more. But what we do, we do incredibly [well].” — Harro Stokman
“We have stayed faithful to the healthcare vertical. So my advice would be to focus.” — Harro Stokman
Links:
Resources for Computer Vision Teams:
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