Paper-Money Testing Devices TRIZ Cases

Extracting selective color and size parameters reduces algorithm complexity and memory usage while maintaining recognition accuracy.

An asymmetric metal-dielectric filter produces distinct color shifts in reflection and transmission modes.

A paper sheet recognition apparatus processes type, fitness, and authenticity data simultaneously using dedicated parallel units.

A paper sheet recognition apparatus uses simultaneous light emission and detection phases to generate subtracted reflective images.

A print inspection device adjusts pass-fail criteria based on allowed failure counts to manage output quality.

Pre-recognition data capture resolves the contradiction between evidence retention and template accuracy by storing digital copies for secure updates.

Grid light sources between sensors ensure homogeneous illumination, resolving depth and uniformity trade-offs.

A sheet processing system uses server history and image recognition to classify genuine, damaged, or forged sheets accurately.

A diffractive security device combines a zone plate structure with an off-axis grating to generate distinct optical patterns.

Segmented reflective parts direct UV rays from LEDs to reduce dispersion and extend lifetime for reliable counterfeit detection.

UV sensor readings identify metallic foil areas on banknotes to exclude glare signals, reducing false alarms while maintaining counterfeit detection accuracy.

A banknote classification device records luminescent intensity values at specific times to determine decay time through numerical integration.

A paper-sheet-thickness detecting device uses a displacement detector to measure pressing member movement for accurate gauge readings.

Textured optical multilayer combines ordered and disordered microstructure regions to produce distinct visual effects under directional lighting.

A security mark authentication method uses time-dependent spectral changes from photochromic compounds to verify authenticity.

Magnetized ink patches create alternating attraction and repulsion forces detectable by human touch for document verification.

Segmented reject stackers separate skewed, damaged, and dirty notes to prevent overflow and eliminate manual sorting.

A bulk document feeder module uses a removable cartridge to transport banknotes one at a time.

An NFC tag embedded in a currency container transmits unique identification data and status information to self-service terminals.

A banknote management system uses convolutional neural networks to classify prefix numbers and features.

Planar electrodes detect foreign matter on sheet-like objects, reducing device size and complexity while maintaining precise authentication.

Carbon nanotube chemiresistors detect chemical tags to identify article characteristics, overcoming low sensitivity and false detection in conventional sensors.

Randomly positioned slot resonators create unclonable identifiers that resist cloning attacks while monitoring storage temperature via frequency shifts.

Augmented reality display overlays preloaded security data onto captured document images for instant visual verification.

A check analysis system uses machine vision to verify signatures and barcodes against account details for transaction scoring.

A bill conveyance mechanism detects leading end damage before full reading to prevent jams.

Segmenting authentication into multiple phosphor compounds with overlapping emission bands prevents spectrometric replication of security features.

A sheet processing apparatus uses a display unit and selection interface to dynamically assign bill conditions to cassettes.

Surface-emitting laser diodes replace halogen lamps to resolve inhomogeneous intensity and high power consumption while reducing speckle patterns.

Embedded optical waveguide with couplers prevents counterfeiting by creating nested structures difficult to replicate.

Movable guides reduce frictional resistance while maintaining sheet position for stable optical detection.