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One glaring constant in your career is that the technology you'll use for your craft will regularly change. When this happens you have a choice: hold on to what you know or become an early adopter, exploring the next thing. It's the early adopters who take the early lead towards mastering the newest tools will have a greater chance of wining the race for new client opportunities.

PiezoMAT proposes a new technology of high-resolution fingerprint sensors based on a matrix of interconnected piezoelectric nanowires (NWs). The sub-micron dimension of NWs allows for high spatial frequency sampling of every fingerprint feature, enabling extremely reliable fingerprint differentiation through detection of the smallest minutiae (pores and ridge shapes).

SDK na detekovanie ci je prst zivy iba z obrazku odtlacku prstu. takmer vobec nevyvetluju ako to funguje (algorithms work by exploiting the fundamental image differences between a live fingerprint and a spoof), ani neuvadzaju aku maju accuracy, takze osobne som k tomu dost skepticky.

So why did Aadhar engage with MongoDB in the first place and will it continue working with the startup? Sudhir Narayana, assistant director general at Aadhar's technology center, told me that MongoDB was among several database products, apart from MySQL, Hadoop and HBase, originally procured for running the database search. Unlike MySQL, which could only store demographic data, MongoDB was able to store pictures. However, Aadhar has been slowly shifting most of its database related work to MySQL, after realizing that MongoDB was not being able to cope with massive chunks of data, millions of packets.