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Cricket Hair Sensor is “Highlight” of Bio-inspired Technology

Cricket Hair Sensor is “Highlight” of Bio-inspired Technology

via Phys.org

One of the top ten highlights of the past year, in terms of technology that is inspired by nature.

That was how the journal “Bioinspiration & Biomimetics” described a paper by researchers from the University of Twente’s MESA+ Institute for Nanotechnology. The publication describes new technology involving the use of sensors to measure flow patterns. Source of inspiration: the hairs on cricket abdomens.

Crickets use sensitive hairs on their cerci (projections on the abdomen) to detect predators. For these insects, air currents carry information about the location of nearby predators and the direction in which they are moving. These University of Twente researchers wondered whether they could use the same principle to create a new kind of “camera”, capable of imaging entire flow patterns rather than measuring flows at a single point. They mimic the cricket hairs using microtechnology. The hairs themselves are made of a type of epoxy, which is attached to a flexible suspended plate. That acts as a capacitor, whose capacitance varies with movement. Measuring that variation gives you information about the movement. Using an entire field or array of such fine hairs, it is possible to identify patterns in the flow, in much the same way as complete images are formed from the individual pixels detected by chips in cameras.

Flow camera

The trick is then to be able to read each hair individually. To this end, a range of options have been explored. Frequency Division Multiplexing (FDM) offers the greatest advantages. With FDM, the measured signal is not delayed while in transit, it is not difficult to synchronize the individual sensors, and the sensor array can easily be expanded without sacrificing performance. Also, the hardware involved is less complex than that required by other technologies. Looking ahead, the researchers believe that it will ultimately be a relatively simple matter to integrate the sensors and the hardware. This will result in a “camera” that is capable of imaging flow patterns. These could be used as a motion detection system in robots, for example.

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