occupant classification system
The OCS streams data from a smart fabric sensor array, embedded in an automotive seat (or surface), to a processing application running an AI/ML system that detects posture and occupant type in real-time. Applications are numerous from personalization and comfort to safer airbag deployment and accident prevention.
role(s):
Lead software engineer
Machine learning & algorithm architect
Project manager
Graphics programmer
technology:
C++
Cinder
Qt
Python
Sklearn
OpenGL/GLSL