PATENT CLAIM ANALYSIS

Application Number: 16316559
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-09
Patent Classification: ["455", "456100"]

Abstract:
This disclosure provides methods and systems for locating wireless mobile devices in an area, for example, using an unmanned aerial vehicle. An unmanned aerial vehicle may receive a wireless signal with identification information from a mobile device. The unmanned aerial vehicle may fly in wireless communication range with the mobile device; measuring, representative parameters related to the received wireless signal and associating the value of measured representative parameters with the mobile device identification and with the location of the unmanned aerial vehicle at the time the wireless signal was received and estimating, the location of the mobile device in the area based on the value of measured representative parameters and the location of the unmanned aerial vehicle at the time it received the wireless signal. The measurement of the representative parameters may be time-stamped and the location of the unmanned aerial vehicle at the time the wireless signal was received may be calculated based on the time stamp and flight information of the unmanned aerial vehicle.

Claim (Index 5):
The method of  claim 1 , wherein the wireless signal from the mobile device is according to one of:\n IEEE802.11a/b/g/n/ac/ad IEEE802.15.4 IEEE802.15.4a Bluetooth 4.0/5.0 Wireless HART NB-IoT LTE Cat0 for M2M, LTE-M Rel. Cat-0, Cat-1 and Cat-4 LoRaWAN\u2122, Low Power Wide Area Network (LPWAN) SIGFOX Weightless-N, Weightless-P, Weightless-W Z-Wave 3G/4G cellular.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 99.0
- Lexical Diversity: 2.86885
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15224497', '14579760', '15274333', '16031338', '15214023']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7280024820370661
- 35 USC 102 Novelty (BERT): 0.5164379674525148
- Combined Prediction Score: 0.706846030578611
- Mean Citation Score: 239.641516
- Max Citation Score: 243.86768
- Similarity Product: 130.50295243106842

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

Dataset: test