We chose to demonstrate PicoCam with the Mona Lisa, rather than a direct IR natural image at night, for three reasons: 1) We wanted to compare our image quality with that reported by Gill et al. (2012), 2) We wanted the precise laboratory control of a computer-controlled display, and 3) The first PicoCam was built to be sensitive to visible light (rather than IR) for ease in manufacture and sensor transduction. More extensive image reconstruction results at various wavelengths will be reported in the scholarly literature at the earliest opportunity.
Multiple imagers for 3d and motion estimation are nice tricks. Think of similar apps where synthetic aperture radar uses movement and arrays to create much better resolution. Would work here too I think...
I can see the application of such camera to thermal camera. After all, you may not care about the sharpness of an image at night than know there is a heat object, potentially animal, there. What strike me is if Rambus is envision the picocam to be a thermal camera, why would they choose Mona Lisa as a sample image than picking a night vision in a park?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.