2019 World Champions
2019 World Championship
United States
EasyGlucose is a cloud-powered, non-invasive, and cost-effective method of blood glucose monitoring for diabetic patients. Users first capture high-resolution images of their eye with their smartphone through a custom, low-cost anterior segment iris imaging adapter. A deep learning computer vision framework using convolutional neural networks developed with Azure Virtual Machines then analyzes iris morphological variation in the eye image to predict the patient's blood glucose level. EasyGlucose is incredibly accurate with an unprecedented error rate of 6.93%, significantly outperforming existing state-of-the-art non-invasive methods by over 30%. In addition, on the gold-standard Clarke Error Grid analysis, 100% of test predictions were given the highest possible evaluation of "clinically accurate" in Zone A. Since glucose levels are securely stored in the cloud with Azure SQL Database, patients can easily see long-term glucose trends to optimize their insulin treatments, and parents receive automated alerts if their children's glucose levels reach critical levels. With the offline sync feature of Azure Mobile App Services, EasyGlucose requires no internet connection, increasing platform portability and facilitating deployment in low-income and rural areas. No maintenance is required for EasyGlucose, unlike the calibration and replacement of test strips and sensors required by current invasive methods. Ultimately, by reducing the pain and cost of current methods, EasyGlucose provides a comfortable, user-friendly, non-invasive and accurate way for diabetic patients to manage their blood sugar levels at a fraction of the cost of today's methods.
India
Caeli is a smart automated drug delivery and anti pollution mask for Asthmatic and other chronic respiratory patients designed to improve the quality of life for respiratory patients living or traveling in polluted areas. Caeli delivers prescribed drugs to patients automatically & intelligently according to the patient’s Dose Schedule, Breathing Difficulty and Pollution Levels.
United Kingdom
We all know the trouble that a lost key can cause. Searching for it everywhere and trying to remember where it was last seen may take a long time which in turn leads to you being late for a meeting or other important events. Even worse is looking around blindly for your own glasses when you misplaced them. Thinking about this issue further, we were wondering how people with a serious vision impairment are supposed to look for their lost object, be it a key, their wallet or even a rubber duck to take a nice hot bath with. That's the reason why we created Finder, a solution to find objects via an iPhone that is accessible to everyone. The app makes use of cameras placed in rooms in the users house, that continuously take pictures of those particular rooms. When a user has lost an item, all they have to do is launch the Finder iOS app, and name the item they have lost, and if the item is found in the house, the user would be guided towards it with visual guidance in the form of a navigational line, as well as orally in terms of narrated directions that indicate when a user is near an item, and when they are moving away from it.