Data Collection
Darwin Edge is continuously developing new AI models for the edge. Therefore we need to collect real-world data in the wild. We regularly run data collection projects for which the participants are remunerated based on the time and complexity required.
Upcoming Data Collection Projects
108 – AI Remote vital signs monitoring
This particular data collection project will include short videos and metadata of individuals. The video footage will be taken in an hospital-like setting. Participants will be asked to follow and act out short scenarios. Participants will provide age, gender, ethnicity, weight, and height data to avoid bias and ensure that future AI algorithms are based on a diverse spectrum of people. The participants’ names, DOB and address will NOT be shared.
- Date: August 22 – August 31, 2022
- Price: 20 CHF
- Length: Max 20 minutes
- Location: EPFL Innovation Park, 1015 Lausanne
The focus of this project is the development of an automated vital signs monitoring solution to assist medical staff and improve patient treatment and well-being.
If you are interested to take part in our data collection, please let us know by completing the form below. We will reach out to you with further information.
For any other inquiries, please contact us directly by mail at data.collection@darwinedge.com or by phone at +41 21 522 25 45.
Previous Data Collection Projects
107 – Autonomous Vehicule Passenger Monitoring
This particular data collection project will include short videos and metadata of individuals. The video footage will be taken in a stationary motor vehicle. Participants will be asked to follow and act out short scenarios. Participants will provide age, gender, ethnicity, weight, and height data to avoid bias and ensure that future AI algorithms are based on a diverse spectrum of people. The participants’ names, DOB and address will NOT be shared.
- Date: May 30 – June 10, 2022
- Price: 30 CHF
- Length: Max 30 minutes
- Location: EPFL Innovation Park, 1015 Lausanne
The focus of this project is the introduction of AI interior monitoring of vehicles to improve safety, security, and user experience.