Advanced 3D imaging using patented silicon sensor technology
Get in touchVisionSens is building a new generation of image sensors. We're an image sensor startup from Monash University, based in Melbourne, Australia.
VisionSens is actively seeking collaboration and partnerships.
Join our mailing listVisionSens sensor technology enables world class performance from a single imaging device.
Performance enables the unique VisionSens technology to be used to capture multiple imaging modes (including depth, intensity and event) simultaneously.
VisionSens image sensor technology is entirely solid-state including the illumination source.
The technology is entirely developed on conventional CMOS manufacturing processes.
Unlike conventional image sensors, VisionSens is able to perform processing of visual data on chip.
An intelligent image sensor reduces system complexity whilst maximising performance.
VisionSens technology is scalable in both maximum resolution and delivered units.
Conventional CMOS technology scaling enables efficient manufacturing.
VisionSens technology enables the co-integration of conventional photodiode sensors with single photon avalanche diodes (SPADs) to form a single image sensor. SPAD sensors enable depth imaging through time of flight.
The VisionSens sensor is capable of simultaneously imaging in four different imaging modes: conventional intensity video camera, high dynamic range, event imaging and depth sensing. Examples of these imaging modes are shown below.
"We want to be the eyes of the next revolution in intelligent systems?"
Simon is an electronics engineer and physicist with a strong entrepreneurial spirit and technical expertise. He has extensive image sensor experience both in the commercial and research fields.
Simon was awarded his PhD in 2018 after developing the technology that VisionSens is based upon. Simon has a number of peer reviewed papers and is an active member of the academic community. Simon is the designer of Australia's first event camera.
Daniel is an electronics engineer and physicist with a strong research background. Daniel has professional integrated circuit design experience, leading the design of state of the art image sensors.
Daniel has published peer-reviewed papers on image sensor technology. As part of his PhD research, Daniel has designed techniques to increase the maximum precision achieved using direct time of flight technology.
Get in touch to discuss partnership, collaboration or investment opportunities.