Imec’s prototype hyperspectral camera can capture multiple types of data about materials or different parts of the same object. This could help in the development of automatic object classification systems that rival those used in state-of-the-art hyperspectral references and recorded spectra of plant material. The innovation could lead to small, cost-efficient cameras that can be adapted easily into vision systems.
The prototype chip's hyperspectral filter, which Imec developed, has 100 spectral bands between 560nm and 1,000nm. The filter bandwidth ranges from 3nm at 560nm to 20nm at 1,000nm, and the transmission efficiency is approximately 85 percent. Under illumination by a 450W halogen light, the prototype's typical image integration times are between 2 and 10 milliseconds.
Imec has been working on the development of a hyperspectral sensor for some time, based on its research reports from 2010 and 2009. Some of those efforts targeted machine vision, medical, and security applications.
The speed of Imec's demonstration system corresponds to an equivalent line speed of 2,000 lines per second -- much faster than current hyperspectral sensors. To adapt the technology to different industrial vision application requirements, a different commercially available or custom image sensor could be substituted with different pixel sizes and frame rates. The number of spectral bands and the spectral resolution of the hyperspectral filters can also be changed.
Having seen spectroscopy systems in the semiconductor industry in the 1980s, this seems like about as small a package as I can ever remember. Is this indeed smaller than the current state of the art? Has anyone else used a system on a chip approach like this one, Ann?
There's a large number of apps that could take advantage of this technology. Industrial machine vision and inspection of chips, boards and electronics sub-assemblies, R&D of several different kinds including component failure and analysis labs, medical labs of various kinds, and medical equipment manufacturing. It could possibly also be used in various kinds of materials detection, possibly in security apps, as well as for detecting counterfeit components made of inferior materials.
What I like most about this technology is the huge difference in size between other multispectral cameras I've written about in the past and the fact that this is a chip-level solution, even doing post-processing filters on-chip. I think the need for this technology will only continue to increase as design features keep getting smaller, and with the mixes of multiple material types.
Many of the new adhesives we're featuring in this slideshow are for use in automotive and other transportation applications. The rest of these new products are for a wide variety of applications including aviation, aerospace, electrical motors, electronics, industrial, and semiconductors.
A Columbia University team working on molecular-scale nano-robots with moving parts has run into wear-and-tear issues. They've become the first team to observe in detail and quantify this process, and are devising coping strategies by observing how living cells prevent aging.
Many of the new materials on display at MD&M West were developed to be strong, tough replacements for metal parts in different kinds of medical equipment: IV poles, connectors for medical devices, medical device trays, and torque-applying instruments for orthopedic surgery. Others are made for close contact with patients.
New sensor technology integrates sensors, traces, and electronics into a smart fabric for wearables that measures more dimensions -- force, location, size, twist, bend, stretch, and motion -- and displays data in 3D maps.
As we saw on the show floor this week at the Pacific Design & Manufacturing and co-located events in Anaheim, Calif., 3D printing is contributing to distributed manufacturing and being reinvented by engineers for their own needs. Meanwhile, new fasteners are appearing for wearable consumer and medical devices and Baxter Robot has another software upgrade.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.