PATENT CLAIM ANALYSIS

Application Number: 16060709
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "135000"]

Abstract:
The present technology relates to an imaging element and a driving method, and an electronic device that enable stable driving with low voltage and low power consumption and furthermore make it possible to ensure a time resolution of detection. A light detector includes a pixel array section including a plurality of first pixels and a second pixel. The first pixel includes a photoelectric conversion section that photoelectrically converts incident light, a floating diffusion section that generates a voltage in accordance with the amount of charge carriers obtained by photoelectric conversion, and a transfer section that transfers charge carriers from the photoelectric conversion section to the floating diffusion section; the readout of a signal is performed intermittently from the first pixel. Further, the output of the second pixel is monitored continuously to detect the incidence of light. The present technology can be applied to a radiation counter.

Claim (Index 6):
The imaging element according to  claim 5 , further comprising:\n an output section configured to calculate an amount of light incident on the pixel array section, on a basis of the digital signal obtained for each of the plurality of first pixels.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 94.0
- Lexical Diversity: 1.92593
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13241758', '14701817', '15528678', '15141390', '15631912']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6459732561425298
- 35 USC 102 Novelty (BERT): 0.5013870120349514
- Combined Prediction Score: 0.631514631731772
- Mean Citation Score: 259.523838
- Max Citation Score: 266.04892
- Similarity Product: 192.2066505802273

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test