Matching And Classification TRIZ Cases

Tensor encoding transforms point clouds into fixed-size representations, reducing overfitting via noisy reconstruction loss.

A fingerprint recognition apparatus uses a multi-compressing circuit to process pixel array data.

A remote control captures hand skin surface prints to construct user signatures for television identification.

Block segmentation enables independent IQA analysis to differentiate fake fingerprints from genuine ones without excessive computational load.

Dynamic confidence marks adjust for sensor acquisition frequency, resolving adaptability issues across different sensors.

A touchpad employs a low-modulus support member between the thin operating plate and fingerprint module to absorb warpage stress and prevent device detachment.

Detects touch parameters on a message icon to display target messages, bypassing interface switches that complicate the viewing process.

A system processes images and sensor data to determine event aspects with high confidence.

A pattern matcher compares fingerprint patterns against a reference database to prevent invalid entries from degrading biometric system integrity.

Deep neural networks derive encrypted feature vectors from biometric data for secure matching.

A biometric recognition sensor integrated into a control button detects user identity to enable mechanical movement.

A retractable card reader mechanism slides into a main body to resolve the contradiction between diverse payment options and limited checkout area space.

A fingerprint template input method generates candidate templates and checks preset conditions before finalizing user data.

Multi-view imaging constructs a 3D finger vein model, resolving recognition degradation caused by finger rotation and displacement.