This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As […]
Lattice FPGAs Power Real-Time Radar Adapter Cards Read More +
Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit. Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes
London, England; 4th November 2020 – Imagination Technologies announces that its BXS-4-64 GPU will be included in Texas Instruments (TI) Jacinto™ processor families for automotive applications. BXS offers up to 60% higher performance for automotive graphics applications, like surround view technology, thanks to its bespoke design for the automotive market needs. IMG BXS is the
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
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
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
Tips For Designing a Robust Computer Vision System For Self-driving Cars Read More +
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
Empowering Automotive Vision with TI’s Vision AccelerationPac Read More +
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
TI Gives Sight to Vision-Enabled Automotive Technologies Read More +
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
TI Vision SDK, Optimized Vision Libraries for ADAS Systems Read More +
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
Leveraging the Power of VDMA Engines for Computer Vision Apps with TySOM Read More +
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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