Sunday February 24, 2019
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Vivo Launches New ‘Y81’ In India

As part of the offers, the company is bringing cashbacks, no cost EMI options and Jio vouchers and offers both, online and offline.

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Vivo
The smartphone has 90 per cent screen-to-body ratio

Chinese player Vivo on Thursday launched the 4BG vartiant of its “Y81” smartphone with fingerprint unlocking and “FullView” display 2.0 in India at Rs 13,490.

The 3GB variant of Vivo “Y81” was launched in June for Rs 11,390 with a 6.22-inch screen and fueled by MediaTek OctaCore (Helio P22) processor along with 3260 mAh battery, the company said in a statement.

“Y81” sports a 13MP rear and 5MP front camera with modes including HDR, portrait bokeh, Artificial Intelligent (AI)-face beauty, palm capture and group selfie.

Vivo
Representational image.

Vivo has also announced festive offers on its other Y-Series smartphones including Y71i, Y83Pro, Y81 and the newly launched Y81 4GB variant.

“We want to continue the momentum and further enhance the customer experience by kick-starting the festive season with offers that add to the happiness to our consumers,” Jerome Chen, Chief Marketing Officer, Vivo India said in a statement.

Also Read: Suzuki launches Made in India Baleno in Japan

As part of the offers, the company is bringing cashbacks, no cost EMI options and Jio vouchers and offers both, online and offline.

As part of the “Make in India” initiative, all these devices have been manufactured at Vivo’s Greater Noida facility, the company added. (IANS)

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Usage of Smartphones for Eye Check-up May Lead to Misdiagnosis

However, when the images were calibrated, the differences between lighting levels and camera types were significantly minimalised - with differences between smartphones reduced by approximately 30 per cent

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Using smartphones to capture photographs of patients’ eyes for check-up may lead to misdiagnosis as camera colour sensors vary and as a result, images of the same eye may appear different depending on the model of smartphone used, warn researchers.

The study, published in the journal Scientific Reports, suggests that calibration of phone cameras is vital to capture accurate data.

Eye examinations to look for redness in the eye can indicate a variety of conditions including conjunctivitis, dry-eye disease and tear-gland dysfunction.

Clinicians increasingly use smartphones in conjunction with ophthalmic imaging equipment, such as the eyepiece of a slit lamp, because of their portability, ease of use and relatively low cost.

The connectivity also allows for upload to the Cloud, which is useful for telemedicine – the remote diagnosis and treatment of patients using telecommunications technology – and Artificial Intelligence applications that store thousands of images from different institutions.

However, the autofocus algorithms and hardware specifications of cameras may be different for different manufacturers which means different cameras can produce different results for the same scene.

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“It is important that clinicians bear this in mind,” said lead study author Carles Otero from Anglia Ruskin University in England.

For the study, the researchers took 192 images of eyes using three smartphone cameras, two different lighting levels and two zoom levels.

The images were duplicated and one set was white balanced and colour corrected (calibrated) and the other left unaltered.

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The researchers took photographs in autofocus mode with the iPhone 6s, the Google Nexus 6p and the Bq Aquaris U Lite, and found that the iPhone results were significantly different from the other two devices, when computing relative redness of each eye, and when compared to a clinician’s diagnosis.

However, when the images were calibrated, the differences between lighting levels and camera types were significantly minimalised – with differences between smartphones reduced by approximately 30 per cent.

“Our results show that while the clinician’s subjective evaluation was not affected by different cameras, lighting conditions or optical magnifications, calibration of a smartphone’s camera is essential when extracting objective data from images,” Otero said. (IANS)