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4 unexpected applications of machine vision cameras including car racing, and fingerprint analysis

Posted by Gretchen Alper on Wed, Aug 31, 2016

Each year there are exciting advances in what is possible with a machine vision camera and visible imaging.  These cameras have been used way beyond industrial manufacturing into defense surveillance systems, robotic surgery, intelligent traffic systems, border security, health monitoring, and more.  Applications like these have even become common now.

In the last year, there have been some unique applications that we discussed on our blog and they are enabling new developments in a variety of fields.

Here are a few:

Interferometric microscopy

Scientists at MIT are developing technologies for studying biomechanical factors in blood disorders such as sickle cell disease. The ability to monitor biophysical properties at individual cell level allows us to study the changes in these properties in various pathophysiological conditions and in response to various treatments. The Adimec camera allows them to make these measurements with unprecedented precision. The same technologies can be used in a variety of other biological and non-biological applications where a small signal needs to be extracted from a large background.

The complete interview can be found here:

Extreme high full well capacity camera to increase the sensitivity in interferometric microscopy – interview with MIT

 

Cancer Diagnosis and Treatment

At Leiden University Medical Center, there is a proof of concept study to detect metastases in ovarian tissue removed from patients prior to autotransplantation of the tissue which can be used to restore fertility in cancer patients following chemotherapy treatment.

Current research has been done to compare FF-OCT results using an Adimec high full well capacity camera to histology which is considered the standard measurement method and to have the results checked by pathologists.  More work will continue on this as well as other cancer assessment applications.

Find out more:

Advances in healthcare with extreme high full well capacity imaging innovations

 

Car racing

In the weekend of 18th and 19th of June, Porsche won the 24 Hours of Le Mans after Toyota got into problems in the final seven minutes. This year, for the first time, Adimec’s rugged security cameras with highly sensitive CMOS Global Shutter technology where used to broadcast the driver’s view on the road. The extreme environment inside the sports car with constantly changing levels of shock and vibration, changing temperatures and the requirement to have broadcast quality images during daytime and at night with low light make it a challenging environment for a camera.

Read on…

How the 24h of Le Mans profits from low light CMOS cameras

 

Fingerprint Analysis

Egidijus Auksorius and Claude Boccara of The Langevin Institute, Paris, France, have constructed a new fingerprint imaging system that peers inside the finger to take a picture—a more reliable and secure way of identifying individuals. Importantly, the device is also simpler, faster, and cheaper than other technology used previously to image inside fingers.

The new sensor [CMOSIS CSI2100] uses a special variant of an imaging technology called optical coherence tomography (OCT). OCT is already used for medical imaging and works by analyzing an interference pattern created when a beam of light that travels through a biological sample, like a finger, is recombined with a reference beam of light.

For more details:

More accurate fingerprint identification using FFOCT high full well capacity camera

 

Topics: Applications

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