Body Surface Translations
Body Surface Translations, backed by the Bill & Melinda Gates Foundation, set out to create a new process to take accurate and efficient measurements of children’s body proportions in order to help identify malnutrition in at-risk children. Their mission was to modernize the existing system of measuring children around the developing world - which until now was difficult to do, and filled with errors that could frankly result in unaddressed malnutrition if data was not captured correctly. MEDL is helping BST to fulfill their mission by developing a product that can improve the health and well-being in children worldwide.
Traditional methods for identifying stunting in impoverished children are imperfect due to human error, the environment, and the fact that young children can’t sit still long enough to have their measurements taken. Body Surface Translations wanted to leverage mobile technologies to develop a more reliable way to capture and analyze measurement data while creating a system that could be reliable in regions of the globe where wifi and technical support was often unreliable at best.
We utilized a third party depth camera attached to a mobile tablet to quickly and accurately capture a three dimensional image of a child which can be uploaded and analyzed by our system when the tablet is reconnected to the internet.
GATES Foundation Demo
Body Surface Translations live demo at Gates Foundation Goalkeepers event.
MEDL Mobile built AutoAnthro to work with existing hardware technology to take a 3-D scan of a child, enabling for a quicker, easier, and more accurate way of gathering a child’s measurements.
This new process of applying anthropometry, the science of measuring human proportions, allowed researchers to capture a child’s measurements using an iPad and a 3-D camera thereby helping to streamline a cumbersome process that can be upsetting to a young child and their parents.
One of the challenges of collecting measurements in the field is a lack of reliable data service, which can make it difficult to aggregate the data collected.
MEDL Mobile’s engineers optimized the process for uploading the 3-D images to Body Surface Translations’ servers using a proprietary algorithm. This means less data usage and a more reliable process for aggregating the data.