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 1):
A monitor device, comprising:\n a processing unit; memory coupled to the processing unit; a sensor arrangement coupled to the processing unit, the sensor arrangement comprising a plurality of sensors configured to sense objects in at least one field of view of the sensors; and program code stored in the memory and having instructions which, when executed by the processing unit cause the processing unit to\n receive, from the sensors, sense data of objects in the at least one field of view of the sensors; \n detect, in the sense data, at least one marker disposed in a fixed position within the at least one field of view; \n for each marker detected, extract position information between the marker and the monitor device, and associate the marker with the extracted position information; and \n calibrate the sensors in the sensor arrangement based upon the extracted position information.

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): 0.6857763241389228
- 35 USC 102 Novelty (BERT): 0.4617299081780306
- Combined Prediction Score: 0.6633716825428335
- Mean Citation Score: 127.4920728
- Max Citation Score: 131.1544
- Similarity Product: 96.27057739048004

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