PATENT CLAIM ANALYSIS

Application Number: 15867875
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["348", "188000"]

Abstract:
The invention is an apparatus designed to solve problems in camera evaluation, namely the selection of camera equipment based on tests that are different to the real world conditions under which the cameras will be used. This is a significant problem, particularly in law enforcement, security and medical imaging. Also disclosed is a method of comparing the performance of two or more movie cameras, under identical simulated real world conditions.

Claim (Index 14):
A method of evaluating movie cameras and comprising the steps of:\n a. establishing an enclosed space with predetermined controllable lighting conditions; b. operating at least one robotic target performing a predetermined sequence of movements in said space under predetermined lighting conditions; c. recording the scene in said space with said predetermined lighting and sequence of movements of said target with a first movie camera; d. recording the scene in said space with the identical lighting and identical set of predetermined sequence of movements of said target with a second said movie camera; and, e. comparing scenes recorded by said first movie camera with said scenes recorded by said second movie camera.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 1.375
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14436869', '15361702', '13502363', '11573902', '13637987']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5780459920795915
- 35 USC 102 Novelty (BERT): 0.4810442456878614
- Combined Prediction Score: 0.5683458174404186
- Mean Citation Score: 120.235638
- Max Citation Score: 122.87231
- Similarity Product: 76.7264602587372

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