Breast Cancer does not make difference between gender, nation or abilities. People postpone breast checks, finding multiple reasons until it becomes too late... How might we integrate regular breast screening into day-to-day lives? How might we detect breast cancer symptoms as early as possible? The solution is already in everyone's bedroom. What it lacks is a smart module of C-True Mirror that: • Detects early symptoms of breast cancer • Motivates to visit doctor • Trains pre-caution exercises • Lowers barrier for checks The device captures images of a person with UHD and infrared camera, measures spot temperature, analyzes structured light, has lidar for volume and shape recognition with touchscreen, powered with custom computer vision and machine learning algorithms trained on millions of registered breast cancer cases. Core challenge: define tech that is maturated, trusted and proven, not to set wrong expectations. We followed MAYA model = Most Advanced Yet Acceptable. The concept turned to be ubiquitous - an extension to a well-known device. It maximizes impact by reaching millions of potential patients. While working on this opportunity we've learnt a lot about the negative impact of breast cancer and necessity of early detection. Next, we plan validation testing and piloting end-2-end prototype.
Built With
- breadboarding
- computervision
- customlights
- lidar
- machine-learning
- mirror
- mixedreality
- smartcamera
- smartcameramodule(custom)
- smartlights
- solidworks






Log in or sign up for Devpost to join the conversation.