PATENT CLAIM ANALYSIS

Application Number: 16129390
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["358", "001150"]

Abstract:
An image forming system in which distributed processing of a job is performed by a plurality of image forming apparatuses and each of the image forming apparatuses inspects an output image formed on paper by distributed processing. Among the image forming apparatuses which perform distributed processing, one or more image forming apparatuses generate data for abnormal image detection which is required to inspect the output image in the image forming apparatuses to perform the distributed processing.

Claim (Index 14):
A non-transitory recording medium storing a computer-readable program causing a computer of a server connected to a plurality of image forming apparatuses to perform distributed processing of a job in a communicable manner through a network to perform:\n receiving the distributed processing job; sending a request to determine an image forming apparatus to generate data for abnormal image detection as a reference for detection of an abnormal image to a given image forming apparatus; and receiving a result of decision as a reply from the given image forming apparatus and sending a request to generate the data for abnormal image detection and original image data of the job to the image forming apparatus to generate the data for abnormal image detection.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 97.0
- Lexical Diversity: 1.975
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15787110', '11848888', '13862293', '13843912', '15440689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5330192619571239
- 35 USC 102 Novelty (BERT): 0.4886146683555343
- Combined Prediction Score: 0.528578802596965
- Mean Citation Score: 199.6701
- Max Citation Score: 220.72049
- Similarity Product: 171.36484272492712

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