Long-distance non-inductive face and iris all-in-one machine

Abstract

The invention provides a long-distance non-inductive face and iris all-in-one machine. The long-distance non-inductive face and iris all-in-one machine comprises a accommodating space formed by a front cover plate, a structure side shell and a structure rear shell. An optical bracket is arranged in the accommodating space; the second iris camera modules are mounted in the iris module installationholes of the optical bracket through the iris lens module bracket; the first iris camera module is installed at the bottom of the optical support, the face camera module is installed at the top of theoptical support, and the face camera module, the first iris camera module and the second iris camera module are distributed up and down and ensure that the centers vertically coincide. The iris recognition system has the advantages that iris information of 90% of people (with the height ranging from 150 cm to 185 cm) can be collected in a non-inductive mode, high-precision iris collection/recognition is conducted, and multi-azimuth and multi-occasion application of iris recognition is promoted; long-distance recognition of iris information can be realized, and the friendliness is good; the face camera module adopts a wide dynamic module, the dynamic range is larger than 105 db, and the problem that the face is difficult to recognize and collect under the condition that the illumination environment is too bright or too dark is solved.

Description

technical field [0001] The invention relates to an iris collection device, in particular to a long-distance non-sensing face iris all-in-one machine. Background technique [0002] Face recognition is currently a mainstream recognition method. It mainly collects facial information (the core is facial features information) for comparison and recognition. However, with the change of the face of the recognition object, the recognition of blood relationship, even twins with similar facial features, and the recognition of a wide range of people, there are generally risks of low recognition rate and false recognition. [0003] Iris recognition is a more accurate, stable and applicable recognition method. It is mainly by identifying the iris texture of different groups of people. Due to the uniqueness, uniqueness, and stability of the iris of the human eye, even twins with similar genes have differences in iris texture, so the recognition accuracy is very high. Traditional iris ...

AI Technical Summary

Problems solved by technology

In iris recognition, rotating the lens module system needs to rotate the imaging device, and the equipment needs to have a certain linkage device or be equipped with a pan / tilt, which increases the complexity of the equipment

At the same time, if the iris information is collected at the moment of rotating the imaging lens module, it will inevitably bring a certain amount of motion blur, which may lead to misidentification or difficult identification.

In addition, the biggest technical difficulty of iris recognition lies in the acquisition of high-quality iris images

Due to the small size of the iris itself, iris recognition requires high resolution. Even if the best optical components are used, the iris module can only capture images the size of a human face, and the imaging depth of field is short (usually around 5cm), so the iris image It is inconvenient to obtain, at a distance greater than 50cm or farther, it is difficult to accurately locate the correct position of the user to ensure high-quality iris images

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