Samsung Galaxy S24 Ultra once again upgrades the main camera, equipped with 200 million pixels and AI scene recognition technology

According to the latest news, the Samsung Galaxy S24 series is expected to be officially released in January next year. In other words, we are expected to see this new Samsung phone next month

As the release date of new mobile phones approaches, more and more news about Samsung Galaxy S24 series mobile phones are beginning to emerge

According to the latest information from blogger @i冰Cosmos, today the second-generation 200MP mode of Galaxy S24 Ultra has been improved and added AI scene recognition technology, thus improving the shooting quality

According to another revelation from this blogger, the Samsung Galaxy S24 Ultra will have better night scene shooting capabilities after the upgrade. The new 200MP main camera has AI recognition and optimization functions, and can identify 12 types of shooting subjects and compare them. Optimize to improve image quality

Samsung Galaxy S24 Ultra has also been revealed that it can take photos in RAW format, and the default resolution has been upgraded from 12 million pixels to 24 million pixels

According to the news, the specific equipment specifications of Samsung Galaxy S24 Ultra will be as follows: equipped with a 6.8-inch QHD screen, supporting 120Hz high refresh rate; the core is equipped with Qualcomm Snapdragon 8 Gen 3 chip; the rear camera includes a 200-megapixel main camera, 12 million pixel ultra-wide angle, 10 million 3x telephoto and 50 million 5x telephoto; 8GB and 12GB memory options are available, with 1TB, 512GB and 256GB storage specifications available; built-in 5000mAh battery, supports 45W charging

Samsung Galaxy S24 and Samsung Galaxy S24 are two devices with slightly lower positioning, equipped with 6.2-inch FHD screen and 6.7-inch QHD screen respectively, with built-in 4000mAh and 4900mAh batteries

The release date of the new generation of Samsung S series flagships is getting closer and closer, and more product information will be revealed in the future. Users who are interested in this can continue to follow

In addition, at today’s press conference, Samsung also launched two new mobile phone sensors, namely the ToF sensor ISOCELL Vizion 63D and the global shutter sensor ISOCELL Vizion 931

According to reports, Samsung’s ISOCELL Vizion series, first released in 2020, includes ToF sensors and global shutter sensors, aiming to provide vision support for next-generation mobile, commercial and industrial applications

Samsung ISOCELL Vizion 63D is Samsung’s first iToF sensor equipped with an integrated depth sensing hardware image signal processor (ISP), according to the official introduction

The way to sense the surrounding three-dimensional environment is by detecting the phase difference between the emitted and reflected beams. This method enables high-speed image processing at up to 320 frames per second with a resolution of QVGA (320x240). It can power service industry and industrial robots, and support XR devices and facial verification that require high resolution and precise depth detection

ISOCELL Vizion 63D’s pixel size is only 3.5μm, which is an increase of 38% when the infrared light wavelength is 940 nanometers (nm). It supports flood (short-range high-resolution) and spotlight (long-range) lighting modes, increasing the measurable distance range from 5 meters to 10 meters

ISOCELL Vizion 931 is a global shutter image sensor designed to capture dynamic moments, avoiding the jelly effect when shooting fast-moving objects

This technology can capture clear and undistorted images of moving objects in extended reality (XR) devices, game systems, service and logistics robots, and drones, making it ideal for motion tracking

Vizion 931 is designed with a 1:1 VGA resolution (640 x 640) to pack more pixels into a smaller form factor. It can also detect subtle movements of facial expressions and gestures in head-mounted display devices such as XR

This product supports multi-channel connections, using a single wire to seamlessly connect up to four cameras to the application processor while minimizing wiring complexity

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