Success case_Success case_Nanyang Yiying Optoelectronics Co., Ltd.

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Security monitoring

The types of security cameras are roughly divided into: license plate cameras, traffic cameras, security cameras, and face recognition cameras. The following are the types, styles, classifications and application scenarios:

APPLICATION

On-board image

The cameras used for environmental perception outside the car are generally distributed in the front, rear, and sides of the car body, and the number of external cameras varies from 4 to 8. The main purpose is to detect the surrounding environment of the car body and provide the driver with surrounding environment information.

APPLICATION

Projector

Application scenarios: mobile projection, home projection, mobile office, etc.

APPLICATION

Biometrics

In my country, various application scenarios of biometrics are gradually being opened, and face recognition, fingerprint recognition, biometrics, and gait recognition are also being popularized in medical institutions, residential communities, commercial buildings and other places.

APPLICATION

Machine vision

Machine vision is an important branch of artificial intelligence. Machine vision has a wide range of applications and can be applied in intelligent manufacturing and many intelligent life fields; it is technically unique and is a cutting-edge technology for non-contact recognition and measurement of objects ;

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AR/VR

ndustry. There are a large number of workers with high professional skills in the production sites of large-scale equipment such as airplanes, trains, automobiles, and machine tools. They have complicated operations and many steps, which are prone to omissions or repetitions.

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Telescope

Military operations, security and police use, marine inspections, outdoor travel, field exploration, sports events, power inspections, concert viewing, forestry investigations, industrial inspections, archaeological research, railway selection Lines, land and resources surveys, bird watching, etc.

APPLICATION

Medical equipment

More than 90% of medical data comes from medical images. The field of medical imaging has massive data that nurtures deep learning. Medical imaging diagnosis can assist doctors and improve the efficiency of doctors' diagnosis.