OmniVision VGA CameraChip enables production of small-form-factor cameras

Jan. 27, 2003
JANUARY 27-OmniVision Technologies Inc. (Sunnyvale, CA; www.ovt.com), an independent supplier of CMOS CameraChip solutions for high-volume imaging applications, has announced availability of its OV7648 VGA 640 x 480-resolution CameraChip in a Chipscale package for integration into mobile phones, PDAs, and PC cameras.

JANUARY 27-OmniVision Technologies Inc. (Sunnyvale, CA;www.ovt.com), an independent supplier of CMOS CameraChip solutions for high-volume imaging applications, has announced availability of its OV7648 VGA 640 x 480-resolution CameraChip in a Chipscale package for integration into mobile phones, PDAs, and PC cameras. Utilizing the previously announced OV7640 CameraChip technology, the OV7648 is targeted at manufacturers of wireless handsets and camera accessories where large-scale production of small-form-factor modules is desired.

"This is a strong alternative to traditionally packaged chips for small-form-factor applications," stated John Lynch, vice president of worldwide sales and marketing at OmniVision. "Traditionally packaged chips are mostly empty space and make production of small devices challenging. The new OV7648 part is a fully tested and packaged CameraChip at less than half the size, giving manufacturers looking for CameraChips with small footprints a viable solution."

The OV7648 CameraChip is available as a 22-pin BGA packaged part. It operates at 2.5 V and consumes less than 40 mW of power when running at 30 frame/s (VGA). By requiring 2.5 V, the OV7648 will demand fewer supporting components compared to competing technologies that require multiple or a higher-voltage power supply, thereby reducing integration costs and design complexity.

The OV7648 CameraChip takes advantage of OmniVision's proprietary analog processing technology to provide formatted yuv directly from the device. the ov7648 cancels fixed pattern noise, eliminates smearing, and reduces blooming, thereby enhancing the image quality and eliminating the need for additional image processing that is common with competing solutions.

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