PATENT CLAIM ANALYSIS

Application Number: 16010204
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["235", "449000"]

Abstract:
Information is written onto the surface of an object using both an optically identifiable pattern and subregions that exhibit differing magnetic properties. The optically identifiable pattern is printed onto a printed region on the surface of the object using a printing medium that contains magnetic particles. The printed region includes both a first subregion that exhibits a first prevailing magnetization direction and a second subregion that exhibits a second prevailing magnetization direction. The first magnetization direction differs from the second magnetization direction. The first and second magnetization directions are imparted to the first and second subregions by magnetic fields being applied to the magnetic particles. An edge between the first subregion and the second subregion does not coincide with any boundary of the optically identifiable pattern. The printed region contains both optically encoded information and magnetically encoded information. Additional information is decoded using both the optically and magnetically encoded information.

Claim (Index 38):
The method of  claim 36 , further comprising:\n decoding a third piece of information based on both the first piece of information that is optically encoded and the second piece of information that is magnetically encoded.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.50794
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13807170', '15298536', '10065927', '14323527', '13818111']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5523638189629986
- 35 USC 102 Novelty (BERT): 0.4902433239209782
- Combined Prediction Score: 0.5461517694587965
- Mean Citation Score: 158.046464
- Max Citation Score: 180.40611
- Similarity Product: 101.28432295897724

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test