Elliptic Labs (OSE: ELABS), a global AI software company and the world leader in AI Virtual Smart Sensors™ currently deployed in over 500 million devices today, has launched the AI Virtual Proximity Sensor™ INNER BEAUTY® on Xiaomi’s latest edition of its most successful smartphone series, the Redmi Note 12S. The Redmi Note 12S is being launched for the international market. Elliptic Labs’ partner MediaTek is driving the Redmi Note 12S with its Helio G96 chipset. The contract for this launch was previously announced by Elliptic Labs.
“Elliptic Labs and Xiaomi have shared a storied relationship, sharing the same innovative spirit that has led to many trendsetting smartphone designs and devices,” said Laila Danielsen, CEO of Elliptic Labs. “We continue this legacy with the latest release of Xiaomi’s most popular series, the Redmi Note 12S, that utilizes our AI Virtual Smart Sensor Platform™. This collaboration with Xiaomi continues to reinforce our technological leadership with AI Virtual Smart Sensors and our conviction to make devices greener, smarter, and more human-friendly.”
AI Virtual Proximity Sensor INNER BEAUTY
Elliptic Labs’ AI Virtual Proximity Sensor detects when a user holds their phone up to their ear during a call, allowing the smartphone to turn off its display and disable its screen’s touch functionality. This keeps the user’s ear or cheek from triggering unwanted actions during the call, such as hanging up or dialing numbers. Turning off the screen also helps conserve battery life.
Proximity detection is a core capability that is used in all smartphones, but Elliptic Labs’ AI Virtual Proximity Sensor is a unique, software-only solution that delivers robust proximity detection without the need for a dedicated hardware sensor. By replacing hardware sensors with software sensors, the AI Virtual Proximity Sensor reduces device cost and eliminates sourcing risk.
INNER BEAUTY is a registered trademark of Elliptic Labs.
AI Virtual Smart Sensor, AI Virtual Proximity Sensor, and AI Virtual Smart Sensor Platform are trademarks of Elliptic Labs.
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