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e-con Systems Announces Camera Solution for Gumstix OMAP35xx Overo Series of Computer on Module
e-con Systems Inc., a leading camera solutions company based out of St Louis, USA and Chennai, India unveils the e-CAM32_OMAP_GSTIX, the 3.2 Megapixel autofocus Gumstix Overo camera board. The camera module embedded on the e-CAM32_OMAP_GSTIX is based on Omnivision's OV3640 CMOS image sensor.
"We feel that with the Overo Computer on module in combination with the camera board from e-con, customers could achieve prototyping with many image processing applications like barcode scanning, facial recognition, text processing, etc as well as Video streaming applications. To speed up the time to market, we offer services around the camera on OMAP ISP pipeline tuning, camera testing, driver development and performance optimizations on operating systems such as WinCE, Windows Mobile and Linux," said Ashok Babu, president, e-con Systems.
The e-CAM32_OMAP_GSTIX connects to the Gumstix Overo Computer on module via a 27 pin flex connector. It interfaces to all the four variants of the Gumstix Overo such as the Earth COM (OMAP3503), Overo Air COM (OMAP3503), Overo Water COM (OMAP3530) and Overo Fire COM (OMAP3530), via this flex connector. Mechanically, the Overo camera board has the same dimension as that of the Overo computer on modules and can be screwed to the Overo Computer on module there by providing mechanical stability.
"Gumstix is very pleased to add e-con Systems as a provider of value-added products built on our Overo(tm) computer-on-module series", said Dr. W. Gordon Kruberg, president and founder of Gumstix, Inc. "The e-CAM32 camera board, which attaches to the 27-pin connector on the top of any Overo COM, puts a 3.2 Megapixel camera into the next generation of tiny products for video capture, surveillance and monitoring."
On the backend side, the e-CAM32_OMAP_GSTIX connects to the 8 bit parallel interface of the OMAP 35x processor and hence leverages the 130Mhz pixel clock that the OMAP35x processor can support. This enables higher frame rates to be achieved with higher resolutions and this is very useful for image processing applications.
