PATENT CLAIM ANALYSIS

Application Number: 16205026
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["358", "504000"]

Abstract:
The spectral colorimetry apparatus includes an LED, a diffraction grating; a line sensor that has multiple pixels and that receives light dispersed by the diffraction grating at the multiple pixels for respective wavelengths of the dispersed light and outputs voltages according to the intensity of the received light; and a sensor CPU that calculates spectral reflectivity of an object based on the intensity of light reflected from the object. The sensor CPU varies, with the multiple pixels, the number of detection times of detecting the light reflected from the object at each pixel.

Claim (Index 16):
An image forming apparatus comprising:\n a spectral colorimetry apparatus according to  claim 1 ; a forming unit configured to form a measurement image on a recording material as the object; and a fixing unit configured to fix the measurement image formed by the forming unit on the recording material, wherein the spectral colorimetry apparatus is provided downstream of the fixing unit in a conveyance direction of the recording material, and the spectral colorimetry apparatus performs colorimetry on the measurement image fixed by the fixing unit onto the recording material.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 98.0
- Lexical Diversity: 1.92308
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15460364', '13551156', '14826551', '13523807', '14169923']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5160282048526087
- 35 USC 102 Novelty (BERT): 0.5018063243249968
- Combined Prediction Score: 0.5146060167998475
- Mean Citation Score: 229.79051
- Max Citation Score: 263.58102
- Similarity Product: 199.0881764459932

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