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Image recognition processors target car apps

Posted: 04 Mar 2013 ?? ?Print Version ?Bookmark and Share

Keywords:image recognition processor? automotive system? industrial applications?

Toshiba Corp. has extended its Visconti image recognition processors with the introduction of the Visconti3 series. The first device in the series, TMPV7528XBG, is improved by the integration of additional processor cores to support various applications, and will extend the range of use beyond automotive systems to industrial applications, stated the company.

Toshiba initially developed the Visconti series of image recognition processors to advance the creation of camera-based vision systems for automotive applications. The processors recognise traffic lanes, vehicles, pedestrians, traffic signs and more and both the Visconti2 and 3 series devices incorporate image processing accelerators that detect pedestrians with high level detection ratio in real time.

In addition to these capabilities, the Visconti3 lowers the software-development hurdle for customers by integrating an ARM 32bit RISC Cortex-A9 MPCore (two cores) dedicated to supporting applications interfacing with the image recognition processor.

With the ARM Cortex-A9 MPCore, the devices are upwardly compatible with the ViscontiT2 series. It also improves connectivity to car navigation systems, smartphones and cloud-based services and makes it easier for customers to implement features during software development, described Toshiba.

Image recognition algorithms and software in embedded image recognition processors must analyse large volumes of image data from the video source, frame-by-frame, in real time, but with limited power consumption and memory resources. Some algorithms for this are difficult to achieve without a floating point unit (FPU), and for this reason Visconti3 integrates a single/double-precision FPU into each core of the ARM processor.

Sample shipment will start in April. The TMPV7528XBG will ship samples in January 2014.





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