PATENT CLAIM ANALYSIS

Application Number: 16030033
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["348", "143000"]

Abstract:
Disclosed are methods and systems such as an imaging assembly that may include a variety of components, such as, but not limited to, a two-dimensional (2D) camera configured to capture 2D image data, a three-dimensional camera configured to capture three-dimensional (3D) image data, and an evaluation module executing on one or more processors. The 2D camera may be oriented in a direction to capture 2D image data of a first field of view of a container loading area, and the 3D camera may be oriented in a direction to capture 3D image data of a second field of view of the container loading area at least partially overlapping with the first field of view. The evaluation module may be configured to detect a status event in the container loading area based on 2D image data.

Claim (Index 23):
The imaging assembly of  claim 21 , wherein the evaluation module is further configured to detect an alert event in the container loading area based on the 2D image data to determine if at least one of a safety guideline violation and a medical emergency in the container loading area and, responsive to detecting the alert event, generating and transmitting the alert event to the server.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 95.0
- Lexical Diversity: 2.3125
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15853077', '15853129', '15853262', '15853293', '15491040']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6142752093945945
- 35 USC 102 Novelty (BERT): 0.4976475312249612
- Combined Prediction Score: 0.6026124415776312
- Mean Citation Score: 138.847399
- Max Citation Score: 151.12566
- Similarity Product: 86.86996809865236

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