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CEA-Leti and Partners in PiezoMAT Project developed New Fingerprint Technology for Highly Reliable Security and ID Applications
Ultra-high Resolution Pressure Sensing Uses Matrices of Vertical Piezoelectric Nanowire
to Reconstruct the Smallest Features of Human Fingerprints
a research project funded by the European Commission in the Seventh Framework Program (FP7, grant No. 611019)
The PiezoMAT team |
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The European project PIEZOMAT proposes a new technology of very high-resolution fingerprint sensors based on a matrix of interconnected piezoelectric ZnO nanowires (NWs).
The direct consequence of integrating nano-objects on microelectronic chips rather than conventional microsystems is to diminish the size of individual pixels, which enables larger integration densities and thus higher spatial resolutions (>1000 dpi).
PiezoMATexplores 3 possible configurations with the charge collections at the bottom of single nanowires or with top-bottom contacts.
Partners challenges were the integration of ZnOnanowires, onto microelectronics chips (200mm wafer), considering process compatibility at the wafer scale of the successive nanowire growth, contacting and encapsulation steps.
Principle
- Each nanowire or bundle of nanowires forms a pixel (size below 50 × 50 µm2)
- Pixel encapsulated in a polymer
- Generated potentials are proportional to the NW displacement
Chip processing
Challenges: High patterning density, choice of proper materials (especially seed layer), chouce of appropriete process (only dry processes due to seed layer sensitivity), integration
Following steps on dies
- Nanowire growth
- Encapsulation
- Top electrode
- Bonding
- Testing
option - BENDING
- 2 contacts in high potential area
- 5000dpi – 8 × 8 pixels
- Technologically challenging
- First experimental demonstration of bottom-bottom contacted 'bending mode’ force sensor
- Very high gauge factor and force sensitivity on the active NWs
option - COMPRESSING
- 2 top-bottom contacts
- 1000dpi – 25 × 10 pixels
- Technologically safer
Results - Conclusions
3 demonstrators by 3 partners: one live demonstration and 2 videos
- Morpho: peak response to mechanical contact (250 pixels)
- MFA: pattern recognition and position sensitivity (128 pixels, one by one)
- Fraunhofer: the 8-bit detection is successfully demonstrated (80 pixels)
Morpho characterisation: peak respons of 250 pixels
MFA characterisation: position sensitive pattern recognition by 128 pixels