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Oppo ready with the most advanced OIS image stabilization system

Last August, Oppo presented several cutting-edge developments in mobile cameras and imaging. In particular, the company demonstrated the technology of five-axis optical image stabilization. We learn from today Chinese sources that Oppo is ready to start mass production of the solution and we will see it in the company's devices starting from the first quarter of 2022. Basically, the Oppo Find X5 series will come with this feature, as well as with Hasselblad cameras.

Oppo, with the Find X5 series, promises the real revolution of the smartphone. 5-axis optical image stabilization is also on the way

And today, the well-known Chinese informant Digital Chat Station announced that the company will start mass production of the technology five-axis optical image stabilization. Recall that it is the first in the sector implemented at the hardware level. It is therefore optical and not electronic stabilization (OIS and not EIS). We don't officially know which devices will receive it first, but these will surely be smartphones elite level and it is possible that we are talking about the series Oppo find x5. Indeed, we are sure of it.

oppo ready with 5-axis optical stabilization

Recall that the new technology of 5-axis optical image stabilization of Oppo allows the processor to acquire motion data using a gyroscope, analyze and classify them using new algorithms. After analysis, the data is transferred to two moving modules: a lens and an image sensor, driven by ball bearing motors.

Technology provides a maximum stabilization angle of ± 3 °, three times that of the traditional OIS model in smartphones. Whether you are shooting at night or on the move, it can greatly improve the stability, clarity and color of the image and increase the vibration compensation up to 65%.

Oppo claims that the efficiency of its technology is three times higher than other solutions on the market, and it already is close to the performance of SLR cameras. In theory, it should improve image stability, color reproduction and sharpness as well increase the image compensation efficiency by 65% and the light acquisition rate in low ambient light conditions of 70%.

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Last updated on April 27, 2024 5:06

Gianluca Cobucci
Gianluca Cobucci

Passionate about code, languages ​​and languages, man-machine interfaces. All that is technological evolution is of interest to me. I try to divulge my passion with the utmost clarity, relying on reliable sources and not "on the first pass".

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