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New Low-power, High-performance TI Jacinto 7 Processors Enable Mass-market Adoption of Automotive ADAS and Gateway Technology

Highly integrated processors support the needs of your entire vehicle lineup with specialized accelerators and functional safety features on-chip and a unified software platform LAS VEGAS, Jan. 7, 2020 /PRNewswire/ — Texas Instruments (TI) (NASDAQ: TXN) today introduced the new Jacinto™ 7 processor platform. Built on the foundation of TI’s decades of automotive systems and …

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“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing: factories are becoming smarter. This …

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Tips For Designing a Robust Computer Vision System For Self-driving Cars

This article was originally published at Texas Instruments' website. It is reprinted here with the permission of Texas Instruments. The robustness and reliability of a self-driving car’s computer vision system has received a lot of  news coverage. As a vision software engineer at TI helping customers implement advanced driver assistance systems (ADAS) on our TDAx …

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Empowering Automotive Vision with TI’s Vision AccelerationPac

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction By September of 2013, Google’s self-driving car had completed over 500,000 miles of driving without a single accident under computer control[1]. Google’s disruptive driver- less car project was aimed to improve car safety and …

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TI Gives Sight to Vision-Enabled Automotive Technologies

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cars continue to become smarter and smarter, integrating new and cutting-edge technologies to make the driving experience safer and more enjoyable. With the goal of reducing roadway fatalities, enabling these new advanced driver assistance …

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TI Vision SDK, Optimized Vision Libraries for ADAS Systems

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction There were 1.2 million global traffic deaths in 20101. 93 percent of traffic accidents in the US are due to human error, typically due to inattention2. ADAS (Advanced Driver Assistance Systems) applications such as …

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Leveraging the Power of VDMA Engines for Computer Vision Apps with TySOM

This article was originally published as a two-part blog series at Aldec's website. It is reprinted here with the permission of Aldec. It's pretty hard to overestimate the role of heterogeneous embedded systems based on Xilinx® Zynq®-7000 All-Programmable devices in tasks like computer vision. Many consumer electronics and specialized devices are emerging to facilitate and …

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Embedded Low-power Deep Learning with TIDL

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Computer-vision algorithms used to be quite different from one another. For example, one algorithm would use Hough transforms to detect lines and circles, whereas detecting objects of interest in images would require another technique …

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Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications

This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no …

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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed …

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May 18 - 21, Santa Clara, California

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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