PATENT CLAIM ANALYSIS

Application Number: 15871230
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-12
Patent Classification: ["382", "103000"]

Abstract:
A 3-D path detection system includes an image capture device, a radar device and a computing module. The image capture device is provided to produce a dynamic image for calculating the x- and y-direction (transverse) pixel-value displacements according to a captured moving object image. The radar device is configured to transmit an input wireless signal to a moving object and receive a reflection signal from the moving object, and is configured to calculate a z-direction (longitudinal) displacement of the moving object according to a Doppler shift in the reflection signal. The computing module is configured to construct a 3-D path of the moving object according to the x- and y-direction pixel-value displacements of the moving object image and the z-direction displacement of the moving object.

Claim (Index 6):
The 3-D path detection system in accordance with  claim 5 , wherein the radar device further includes a signal processing unit, wherein the signal processing unit is coupled to the demodulation circuit for receiving an in-phase signal and a quadrature signal and is configured to calculate the z-direction displacement of the moving object according to the in-phase and quadrature signals.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 86.0
- Lexical Diversity: 2.5
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10547652', '15569836', '13046250', '10417597', '13480420']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3359032820141771
- 35 USC 102 Novelty (BERT): 0.4769209967603418
- Combined Prediction Score: 0.3500050534887936
- Mean Citation Score: 156.75765600000005
- Max Citation Score: 173.96645
- Similarity Product: 127.99033367732764

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