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HomeNewsIs fingerprint lock optical or semiconductor?

Is fingerprint lock optical or semiconductor?

2023-07-18
When it comes to fingerprint locks, many people may not only consider price factors in the first place, but also consider the issue of fingerprint recognition rate. Because fingerprint recognition systems have always been an important project in security prevention technology, their safety directly affects the safety of families. Currently, there are two main methods of fingerprint lock collection on the market: optical and semiconductor. So is fingerprint lock optical or semiconductor?
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Optical fingerprint lock:

The principle of optical phase formation is relatively simple. From the perspective of the structure of the fingerprint module of the optical sensor, it is mainly that the strong light (red or blue) emitted from the acquisition hair shines on the finger. The light diffuses from the finger, enters the Dispersive prism, refracts and hits the convex lens (CCD). The light with the fingerprint signal is focused on the screen CMOS for phase formation, and the image is processed by the processor.

The main advantages of optical fingerprint recognition are system stability, good anti-static ability, and the ability to provide high-resolution images. Moreover, optical fingerprint locks are relatively stable and adaptable, and are often used in anti-theft locks. They occupy more space than semiconductors and can generally still be used after being scratched by metal hard objects.

Semiconductor fingerprint lock:

Semiconductor fingerprint locks have a relatively small volume and can be embedded into various terminal products. Therefore, most semiconductor sensing systems adopt the principle of capacitors, which has a wider recognition range than optics, especially for dry fingerprint users.

The advantages of semiconductor recognition mainly include high recognition rate, strong anti-static ability, strong anti-counterfeiting fingerprint ability, the ability to automatically end image acquisition, and the improving image quality.
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