JetsonTX1_DevKit_3Quarter_ON_600

BDTI Evaluates NVIDIA Jetson TX1 Developer Kit for Deep Learning and Computer Vision Applications

The Jetson TX1 module is NVIDIA’s latest processor system-on-module for embedded applications, based on the Tegra X1 chip. The Jetson TX1 Developer Kit is a low-cost, feature-rich development kit based on the Jetson TX1 module. BDTI, a technology analysis firm (BDTI and NVIDIA are both members of the Embedded Vision Alliance), used the Jetson TX1 […]

BDTI Evaluates NVIDIA Jetson TX1 Developer Kit for Deep Learning and Computer Vision Applications Read More +

AlliedVisionLogo

Allied Vision Shows Imaging Solution for Electronics Manufacturing at Nepcon Thailand 2016

Allied Vision will showcase variety of imaging solutions for the electronics manufacturing industry at Nepcon Thailand 2016 in Bangkok on 22 – 25 June 2016. Bangkok, Thailand, 14 June 2016 – Allied Vision will be participating for the first time in Nepcon Thailand 2016, the only event for Surface Mount Technology (SMT) and electronics manufacturing

Allied Vision Shows Imaging Solution for Electronics Manufacturing at Nepcon Thailand 2016 Read More +

VisionSystemsDesign

Computer Vision: The Business Side of the Equation

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Most of the discussion of computer vision these days is about the technology: algorithms, processors, image sensors, etc. While technology is obviously critical, business topics are increasingly central as well, as vision technology comes out

Computer Vision: The Business Side of the Equation Read More +

VisionSystemsDesign

Computer Vision Software Development: Current Status and Future Trends

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Despite improved tools, libraries and APIs, computer vision software development remains challenging. Several presentations at the recent Embedded Vision Summit addressed various aspects of the computer vision software development process, both as it currently exists

Computer Vision Software Development: Current Status and Future Trends Read More +

“Making Existing Cars Smart Via Embedded Vision and Deep Learning,” a Presentation from NAUTO

Stefan Heck, CEO and co-founder of NAUTO, presents the "Making Existing Cars Smart Via Embedded Vision and Deep Learning" tutorial at the May 2016 Embedded Vision Summit. NAUTO is a system that consists of a device, network and app. It's an affordable way to upgrade any car to get network and safety features previously available

“Making Existing Cars Smart Via Embedded Vision and Deep Learning,” a Presentation from NAUTO Read More +

“Sensing Technologies for the Autonomous Vehicle,” a Presentation from NXP Semiconductors

Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit. Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in

“Sensing Technologies for the Autonomous Vehicle,” a Presentation from NXP Semiconductors Read More +

Foto_Phab2_Pro_Exploded_Camera

Smallest 3D Camera Worldwide Brings Augmented Reality to a Smartphone

Munich, Germany, and San Francisco, CA, USA – June 9, 2016 – Lenovo is the first manufacturer worldwide to bring Tango technology to a consumer product. Google's technology that allows devices to understand spatial information is an exclusive feature in the PHAB2 Pro smartphone launched today. Based on the Time-of-Flight principle, the REAL3™ image sensor

Smallest 3D Camera Worldwide Brings Augmented Reality to a Smartphone Read More +

Tractica-Logo-e1431719018493_0

Can FPGAs Challenge GPUs as a Platform for Deep Learning?

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Over the past several years, graphics processing units (GPUs) have become the de facto standard for implementing deep learning algorithms in computer vision and other applications. GPUs offer a large number of processing elements, a stable

Can FPGAs Challenge GPUs as a Platform for Deep Learning? 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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top