LG Electronics Time-lapse Contest... LG Velvet Given to 4 Winners

[Asia Economy Reporter Seolgina Jo] LG Electronics announced on the 9th that it will hold the ‘LG Velvet Time Lapse Contest’ for three weeks until the 28th, awarding LG Velvet smartphones to four outstanding works.

Customers who wish to participate in the contest can use the ‘Time Lapse’ feature on LG smartphones to capture scenes reminiscent of the four colors of the LG Velvet, then upload them to LG Mobile’s Instagram with hashtags. Time Lapse is a feature that compresses recorded videos into a shorter form. It automatically adjusts the shooting speed according to the subject or movement without requiring separate settings from the user, and also allows free adjustment of the speed during video recording.

LG Electronics expects submissions featuring diverse scenes such as white clouds (Aurora White), a city at nightfall (Aurora Gray), green fields (Aurora Green), and a glowing red sunset (Illusion Sunset). Four outstanding works will be selected through judging and awarded LG Velvet smartphones. Winners will use the LG Velvet they receive as a prize to shoot additional time lapse videos to be exhibited at the ‘LG Velvet Digital Exhibition’ scheduled for mid-next month.

Shin Jae-hyuk, head of LG Electronics Mobile Marketing, said, “Since the launch of Velvet, its attractive design and useful features have received positive reviews from customers,” adding, “We will provide various opportunities for customers to experience it firsthand.”

The back of the LG Velvet features an ‘optical pattern’ with intervals of about 1㎛ (micrometer), which is 1/100 the thickness of a hair, giving the product’s color a deeper and more three-dimensional expression. This pattern was independently designed by LG Electronics’ production technology institute. Additionally, the LG Velvet is the first to apply a ‘3D Arc Design’ that gently curves the left and right edges of the front display, providing a comfortable grip sensation. On the back, it is equipped with three cameras: 48 million (standard), 8 million (ultra-wide), and 5 million (depth).

This content was produced with the assistance of AI translation services.