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The information presented in this cross reference is based on TOSHIBA's selection criteria and should be treated as a suggestion only. Please carefully review the latest versions of all relevant information on the TOSHIBA products, including without limitation data sheets and validate all operating parameters of the TOSHIBA products to ensure that the suggested TOSHIBA products are truly compatible with your design and application.
Please note that this cross reference is based on TOSHIBA's estimate of compatibility with other manufacturers' products, based on other manufacturers' published data, at the time the data was collected.
TOSHIBA is not responsible for any incorrect or incomplete information. Information is subject to change at any time without notice.
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New Products / News
The Visconti™5 (TMPV770) series of artificial intelligence (AI) processors for automotive image recognition incorporating deep neural network (DNN) hardware IP will be available for sampling in September 2019. The Visconti™5 series is suitable for advanced driver assistance system (ADAS) and automatic driving applications.
Toshiba has been developing image recognition processors since the 1990s and released a test chip in 2001. After making further improvements, we released a first-generation product, the Visconti™ (T5BG3XBG), in 2003.
In 2011, Toshiba released the Visconti™2 (TMPV750) Series that incorporates not only a suite of image processing accelerators optimized for human recognition but also a new enhancement that allows the use of color cameras to detect both brightness and color. In 2013, Toshiba launched the Visconti™3 (TMPV752) Series that contains two instances of Arm® Cortex®-A9 MPCore with single- and double-precision floating-point units (FPUs).
In November 2014, exploiting pattern recognition using luminance-based and color-based image information, the Visconti™4 (TMPV760) Series delivers a significant improvement in image recognition at nighttime. Additionally, the Visconti™4 (TMPV760) Series allows 3D reconstruction using the input stream of a monocular camera and can detect standstill obstacles on the road surface.
View the product list of image recognition processors to find products that meet your performance specifications.
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