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OmniVision Debuts Its ‘OV10820’ Camera Solution

Red/green/blue color filter that enables performance even in low-light

OmniVision Technologies Inc., a developer of digital-imaging solutions, debuted a 10.5-megapixel-camera solution—the OV10820—with a new red/green/blue color filter that enables performance even in low light.

The camera solution is composed of a native 16:9 OV10820 sensor that offers 4K2K and 1080p full high-definition video, and a new OV660 companion chip that converts the RGBC data into standard RGB data. The combination of the OV10820 and OV660 provides an ultra-compact, high-performance camera solution for the next-generation smartphones and tablets, OmniVision said.

The OV10820 delivers both smaller pixels and improved sensitivity or image quality, which provides 10.5-megapixel high-resolution imaging with low-light sensitivity “in a compact footprint,” said Devang Patel, OmniVision’s senior product marketing manager.

The 1/2.6-inch OV10820 utilizes an 1.4-micron OmniBSI-2 pixel architecture with a RGBC color filter pattern to deliver low-light sensitivity, enabling high-quality video recording in difficult lighting conditions, OmniVision said.

The OV10820 records full-resolution 10.5-megapixel video at 30 fps, and supports 4K2K (3840 x 2160 pixels) at 30 fps and 1080p FHD video at 60 fps while maintaining full field of view with binning functionality for RAW output.

The OV10820 fits in a camera module form factor of 9.5 x 9.5 x 6.4 mm, which includes auto focus functionality, the company said.

The OV10820 features a high-speed 4-lane mobile industry processor interface output interface to support the required high data transfer rate. The OV660 features two MIPI input ports and one MIPI output port. Both devices are currently shipping in volume production.

“The sensor offers 4K2K and fast-frame rate FHD video in a native 16:9 aspect ratio, addressing the need to capture video for increasingly popular widescreen mobile displays and next-generation TVs with extremely high resolutions,” Patel said.

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