Human Machine Interface


The Solfice Intelligent Driver Display Unit (SIDDU) is based on a scalable and modular display concept which is suitable for various mobile applications. This device acts as the human machine interface in the Solfice Train Vision System (TVS).

Train Vision Driver Assistance System


The Solfice Realtime Train Vision enables centimeter level positioning of a moving traction vehicle using onboard sensors. In addition to positioning, the system includes a signal state algorithm to determine the signal aspect along a railway track.

Train Vision Infrastructure Monitoring System


Solfice vision diagnostics focuses on utilizing the Solfice vision apparatus to profile an operator's track infrastructure. We utilize 3D point cloud datasets to examine the interlocking positioning of a railway track, profile the railway tracks for fatigue, and look at vegetation ingress onto rail infrastructure.

Railroad GIS Dataset Auditing System


The GIS Dataset Auditing System enables locomotives to scan for discrepancies in the operator's dataset. Objects of interest not annotated by the GIS dataset will be profiled and annotated. This increases accuracy of the operator's datasets leading to more efficient maintenance.






Solfice Driver Assistance System

The driver friendly system

Solfice Research, Inc. is a Berkeley-based big data analytics and computer vision company in the market segments of transportation and physical infrastructure. We have instrumented locomotives with hardware to extrapolate strategic sensor and location information enabling reduction in fuel consumption, collision avoidance, network flow optimization, and other SaaS products.

 

Building technology to make Indian Railways safer: Solfice
Story by Jubin Mehta, YourStory.in



Fabien Chraim, Anuj Gupta and Sravan Puttagunta met in 2008 at the International House in Berkeley. They went on to continue with their studies before Sravan and Fabien came together in 2010 to start up Solfice with a mission statement that reads- ‘sensing in the interest of society’. They were building stuff combining wireless sensor networks and video/image processing. During their conversations, the duo decided to work towards building a remote sensing solution for railways to improve safety. Read more...