PATENT CLAIM ANALYSIS

Application Number: 16041230
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["455", "456100"]

Abstract:
A device, method and software program for sensor self-calibrating are disclosed, including sensing, by sensors, objects in at least one field of view and generating sense data from the sensing; detecting, from the sense data, at least one marker disposed in a fixed position within the at least one field of view; for each marker detected, extracting position information of the marker and associating the marker with the extracted position information therefor; and calibrating the sensors based upon the extracted position information for each marker detected.

Claim (Index 7):
The monitor device of  claim 1 , further comprising a transceiver coupled to the processing unit, wherein the at least one marker comprises at least one passive marker and at least one active marker, and wherein the instructions stored in the memory, when executed by the processing unit, further cause the processing device to\n receive, via the transceiver, position information from the at least one active marker, and associate the at least one active marker with the position information received therefrom, wherein the instructions to calibrate the sensors in the sensor arrangement calibrates the sensors based upon the position information of the at least one active marker.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 95.0
- Lexical Diversity: 1.97959
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12066108', '13512407', '15161589', '12912937', '16062554']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6826363291801999
- 35 USC 102 Novelty (BERT): 0.4750315025454976
- Combined Prediction Score: 0.6618758465167297
- Mean Citation Score: 127.4920728
- Max Citation Score: 131.1544
- Similarity Product: 86.90556866321566

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test