Mahadev Kolluru, Senior Director of Platform Solutions at VeriSilicon, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kolluru demonstrates object detection accelerated on the company's Vivante GC2000 OpenCL-compliant GPU core.
VeriSilicon Demonstration of GPU-accelerated Object Detection Read More +
Vassilis Tsagaris, CEO at IRIDA Labs, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Tsagaris demonstrates the embedded computer vision engine for high quality video, in this case implemented as an EIS video stabilization solution optimized for Snapdragon SoCs using heterogeneous computing techniques. Vassilis also showcases
IRIDA Labs Demonstrations of Video Stabilization and Deep Learning Read More +
Tim Hartley, Product Manager at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Hartley shows why computer vision on mobile chips is so exciting right now by demonstrating two of the products at ARM’s booth at the Embedded Vision Summit's Technology Showcase. The first demo,
Toshi Torihara, Vice President at Morpho USA, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Torihara demonstrates the company's new Frame Interpolator algorithm, which generates intermediate frames between 30 fps inputs to create a 60 fps output with a smooth viewing experience at 4K resolution. He
Morpho Demonstrations of Frame Interpolation and Computational Photography Read More +
This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques are one of the hottest topics in computer vision today, as you can tell by the number of columns I've devoted to the subject. Most recently,
Deep Learning for Vision Processing: In-depth Design Techniques Read More +
Combined with Intel’s Existing Assets, Movidius Technology – for New Devices Like Drones, Robots, Virtual Reality Headsets and More – Positions Intel to Lead in Providing Computer Vision and Deep Learning Solutions from the Device to the Cloud We’re entering an era where devices must be smart and connected. When a device is capable of
Tim Hartley, Product Manager at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Hartley shows why computer vision on mobile chips is so exciting right now by demonstrating two of the products at ARM’s booth at the Embedded Vision Summit's Technology Showcase. The first is
ARM Demonstrations of a Depth Camera and Autonomous Drone Read More +
Junhwan Kim, Automotive Business Development representative at StradVision, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kim demonstrates the company's object detection and recognition software. He shows how StradVision’s machine learning algorithm can be applied to pedestrian/vehicle detection, and text detection and recognition on Texas Instruments'
StradVision Demonstration of Object Detection and Recognition for ADAS Read More +
Aaron Behman, Director of Corporate Strategy and Marketing for Embedded Vision at Xilinx, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Behman demonstrates how the Avnet Smart Vision Development Kit in conjunction with Xilinx's SDSoC tool flow can identify latency and enable users to accelerate the
Xilinx Demonstration of Harris Corner Detection Acceleration Read More +
Andy The, Product Manager at MathWorks, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Andy first demonstrates how Simulink supports HDL development from design through production. By combining Simulink with built-in FPGA hardware support, you can quickly design, tune, and deploy production ready HDL vision algorithms
MathWorks Demonstrations of MATLAB and Simulink for Embedded Vision Development Read More +
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