PATENT CLAIM ANALYSIS

Application Number: 15938244
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["340", "961000"]

Abstract:
A system and a method for drone detection and collision avoidance, particularly for use in an aircraft, is provided. The system includes, but is not limited to a sensor, a processor, and an avoidance unit comprising a control unit. The sensor is configured to detect a drone signal in a predetermined space and to transmit the drone signal to the processor. The processor is configured to determine the presence of a drone in the predetermined space based on the drone signal. The processor is configured to transmit a command to the avoidance unit when the processor determines the presence of a drone. The control unit is configured to receive the command and to generate a warning signal in response to receiving the command.

Claim (Index 9):
The system according to  claim 8 ,\n wherein the system includes a video-sensor configured to capture video data and a display unit, wherein the processor is operatively coupled with the video-sensor and configured to orient the video-sensor to capture the video data from a region where the drone is operating, and wherein the processor is further operatively coupled with the display unit and further configured to control the display unit to display the video data.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.68
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15832648', '15781662', '15068442', '15285080', '15863529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7023374996127788
- 35 USC 102 Novelty (BERT): 0.4933510907051793
- Combined Prediction Score: 0.6814388587220189
- Mean Citation Score: 197.335822
- Max Citation Score: 199.96622
- Similarity Product: 145.1446198408246

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

Dataset: test