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Stradvision’s SVNet Now Compatible With Texas Instruments Automotive Processors

STRADVISION | January 09, 2023 | Read time : 01:40 min

Stradvision’s SVNet Now Compatible With Texas Instruments Automotive Processors
Automotive Industry pioneers in deep learning-based vision perception technologies, STRADVISION, recently announced that designers using the Texas Instruments (TI) TDA4 automotive processors can now use their award-winning SVNet software for Level 2 advanced driver assistance systems (ADAS), L2 designs and automated driving features.

ADAS and autonomous vehicles use STRADVISION's SVNet software. It uses 18+ platforms, including the TI automotive processor, to identify and recognize other cars, lanes, pedestrians, animals, clear space, traffic signs, and lighting. The TDA4 implementation of SVNet is optimized for performance, lower power consumption, and reduced cost. This adds flexibility to the ADAS market and enables automotive OEMs to produce L2 systems, while enabling widespread production of L2 systems as automotive OEMs

"The hardware-optimized SVNet software makes it possible for automotive designers to leverage our automotive system-on-chip products to enable surround-view vision, helping them improve the driver experience and road safety," 

Aish Dubey, general manager of automotive processors at TI.
(Source: PR Newswire)

Texas Instruments' TDA4 processor family is an entry-level camera solution for L2 ADAS applications and beyond. The processor was explicitly created for ADAS and AV applications based on a decade of market knowledge. TDA4 devices combine high-performance computing, a deep-learning engine, and dedicated signal and image processors in a functional safety-compliant design.

 

About STRADVISION

STRADVISION, founded in 2014, is a pioneer in the automotive industry for AI-based video perception technology for Advanced Driver Assistance Systems (ADAS). STRADVISION is accelerating the arrival of fully autonomous vehicles by making ADAS features widely available to manufacturers. Integrated with OEMs, STRADVISION's SVNet is being deployed on various vehicle models and powers ADAS and Autonomous Vehicles globally.

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Sometimes, adding more material during 3D printing allows the overall manufacturing process to be performed more efficiently. That’s the case at Keselowski Advanced Manufacturing (KAM), where parts made through laser powder bed fusion additive manufacturing are designed to aid the success of critical machining operations that come later in the process. This video of a complex metal part explains why 3D printing extra stock, and even 3D printing threaded holes that will later be removed, increases overall manufacturing efficiency.

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