The invention relates to a method for the detection of modified information patterns of a capacitive information carrier comprising at least one electrically conductive material forming at least one modifiable electrically conductive pattern, wherein information is encoded within the characteristics of the electrically conductive pattern. The method comprises at least the steps of modifying the characteristics of the electrically conductive pattern and capacitively detecting a second information pattern encoded within the characteristics of the modified electrically conductive pattern. In a further aspect, the invention relates to a capacitive information carrier for use in the method according to the invention and a method for manufacturing a capacitive information carrier for use in the method according to the invention.

A capacitive autocoding circuit is provided herein. A test strip may include an embedded code comprising one or more individually electrically isolated contacting pads associated with one of a plurality of predefined capacitive states. The respective capacitive states associated with each of the contacting pads together form a capacitive state sequence such that when the test strip is inserted into a diagnostic meter the sequence is read to identify data particular to the capacitive sequence and the test strip.

The invention relates to a capacitive information carrier in which information is encoded by an information pattern comprising a first and a second electrically conductive area on an electrically non-conductive substrate, wherein each conductive area comprises one or more sub-sections, wherein said information is detectable by a capacitive touch screen comprising intersection points formed from driving electrodes and sensing electrodes. In a further aspect, the invention relates to a system comprising a touch screen which comprises intersection points formed from driving electrodes and sensing electrodes and a capacitive information carrier. Furthermore, the invention relates to a use of the capacitive information carrier and the system.

Capacitive identification systems and methods are described. The system may include a capacitive detector configured to identify objects having capacitive identifiers. A capacitive identifier may be a patterned dielectric ink that, when placed in an electromagnetic field generated by the capacitive detector, detectably alters the capacitance of neighboring sensors in the detector. The capacitive detector may be disposed within an opaque housing structure of a device and configured to detect the capacitive identifier through the opaque housing structure. The capacitive detector may include a capacitive sensing array and processing circuitry formed on a common printed circuit. The capacitive detector may be formed in an infusion pump system. The capacitive identifier may be disposed on a pump cassette for the infusion pump system.

Techniques are disclosed herein for artificial intelligence machine learning to increase collection of digital livescan fingerprints. According to certain embodiments of the invention, processing parameters can be automatically machine-optimized for processing scan images of fingerprints (and other areas) to increase the amount of detected minutia. The processing parameters can alter and change over time to reflect historical successes and failures of particular optimizations. This allows a fingerprint collection device to learn over time and become more accurate (i.e., more successful at detecting minutia). Additionally, the techniques further include receiving input from a user regarding physical traits of a scanned subject, to further customize the processing parameter optimization. Various other features are provided herein.