18249406. RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS simplified abstract (BOE TECHNOLOGY GROUP CO., LTD.)
Contents
- 1 RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS
Organization Name
BOE TECHNOLOGY GROUP CO., LTD.
Inventor(s)
RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18249406 titled 'RIDGE RECOGNITION SUBSTRATE AND RIDGE RECOGNITION APPARATUS
Simplified Explanation
The ridge recognition substrate described in the abstract includes a base substrate with a photosensitive area and a light-shielding area, photosensitive devices arranged in an array on the photosensitive area, and dummy devices arranged in an array on the light-shielding area.
- The ridge recognition substrate consists of a base substrate with a photosensitive area and a light-shielding area.
- Photosensitive devices are arranged in an array on the photosensitive area, each including a first electrode, a photoelectric conversion structure, and a second electrode.
- Dummy devices are arranged in an array on the light-shielding area, each including a third electrode, an equivalent dielectric layer, and a fourth electrode.
Potential Applications
This technology could be applied in fingerprint recognition systems, optical sensors, and image processing devices.
Problems Solved
This technology helps in accurately recognizing ridges and patterns on surfaces, improving the efficiency and accuracy of fingerprint recognition systems.
Benefits
The ridge recognition substrate offers high sensitivity, precise detection capabilities, and reliable performance in various applications.
Potential Commercial Applications
- Fingerprint recognition systems for security purposes
- Optical sensors for biometric authentication
- Image processing devices for pattern recognition
Possible Prior Art
One possible prior art could be the use of similar photosensitive devices in image sensors for digital cameras.
Unanswered Questions
How does this technology compare to existing ridge recognition systems in terms of accuracy and speed?
The abstract does not provide specific details on the performance comparison with existing systems.
What are the potential limitations or challenges in implementing this technology on a larger scale?
The abstract does not address the scalability or practical challenges of implementing this technology in real-world applications.
Original Abstract Submitted
A ridge recognition substrate and a ridge recognition apparatus. The ridge recognition substrate includes: a base substrate including a photosensitive area, and a light-shielding area located on at least one side of the photosensitive area; a plurality of photosensitive devices, arranged in the photosensitive area in an array; each photosensitive device includes a first electrode, a photoelectric conversion structure and a second electrode arranged in layers, the photoelectric conversion structure is electrically connected with the first electrode, and the photoelectric conversion structure directly contacts with the second electrode; and dummy devices, arranged in the light-shielding area in an array, each dummy device including a third electrode, an equivalent dielectric layer and a fourth electrode, the third electrode and the first electrode is in the same layer, the fourth electrode is located at the side of the layer where the second electrode is located facing away from the base substrate.
- BOE TECHNOLOGY GROUP CO., LTD.
- Yajie Feng of Beijing (CN)
- Cheng Li of Beijing (CN)
- Yue Geng of Beijing (CN)
- Kuiyuan Wang of Beijing (CN)
- Zhonghuan Li of Beijing (CN)
- Yi Dai of Beijing (CN)
- Chaoyang Qi of Beijing (CN)
- Zefei Li of Beijing (CN)
- Congcong Xi of Beijing (CN)
- Xiaoguan Li of Beijing (CN)
- H01L27/146
- G06V40/12
- G06V40/13