PATENT CLAIM ANALYSIS

Application Number: 15997397
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["382", "153000"]

Abstract:
Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Claim (Index 21):
A robot for detecting at least one item, comprising:\n a memory having computer readable instructions stored thereon; and at least one processor configured to execute the computer readable instructions to,\n identify the at least one item in a plurality of images captured by the robot between a plurality of locations; \n determine a confidence measure in the identification of the at least one item, the confidence measure being determined based at least on a quantity of images containing at least a portion of the identified at least one item relative to a quantity of images captured over a predetermined time interval; \n recognize the at least one item based on the confidence measure meeting or exceeding a predetermined threshold; and \n generate an alert notification in response to the recognizing of the at least one item, the alert notification includes plurality of user-selectable options corresponding to actions of the robot with respect to the at least one item.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 1.57143
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15179851', '15152436', '15423442', '15199224', '15340807']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2799839137070474
- 35 USC 102 Novelty (BERT): 0.5345119210452868
- Combined Prediction Score: 0.3054367144408713
- Mean Citation Score: 201.154586
- Max Citation Score: 352.13422
- Similarity Product: 256.2802250430965

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