PATENT CLAIM ANALYSIS

Application Number: 15987876
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-02
Patent Classification: ["348", "155000"]

Abstract:
An object displacement detection method includes capturing n images of an object for obtaining n sets of image dots, where the object corresponds to an i th  set of image dots in an i th  image of the n images; performing (n−1) difference calculations using the n sets of image dots to obtain (n−1) sets of difference image dots, where a j th  set of difference image dots of the (n−1) sets of difference image dots is generated by performing a j th  difference calculation of the (n−1) difference calculations using a (j+1) th  set of image dots and a j th  set of image dots of the n sets of the image dots; and determining the object has displaced when a sum of numbers of the (n−1) sets of difference image dots reaches a first threshold.

Claim (Index 12):
The system of  claim 11 , further comprising:\n a display device coupled to the memory and the processor; wherein the processor controls the display device to display the at least one visual pattern when the processor determines the object has displaced according to the (n\u22121) sets of difference image dots, and the processor controls the display device to eliminate the at least one visual pattern when the processor determines the object has not displaced during the time interval according to the (m\u22121) sets of difference image dots.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 93.0
- Lexical Diversity: 2.96154
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13974074', '11237671', '13913533', '10026209', '13489464']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5944321880285555
- 35 USC 102 Novelty (BERT): 0.4868266072499503
- Combined Prediction Score: 0.583671629950695
- Mean Citation Score: 162.333072
- Max Citation Score: 175.44456
- Similarity Product: 115.2513385876751

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