Ben Chehebar, co-founder of Compology, delivers the presentation "Using Vision to Improve Waste Collection Efficiency" at the December 2016 Embedded Vision Alliance Member Meeting. Chehebar describes a novel vision-based solution that is dramatically improving the efficiency of trash collection.
“Using Vision to Improve Waste Collection Efficiency,” a Presentation from Compology Read More +
LETTER FROM THE EDITOR Dear Colleague, If you're creating systems that see, the Embedded Vision Summit is the place to be! Plan now to join us May 1-3, 2017 in Santa Clara as stakeholders from every corner of the world's embedded vision ecosystem gather to examine the latest advances in computer vision, machine learning, and
Embedded Vision Insights: December 13, 2016 Edition Read More +
Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of
Facial Analysis Delivers Diverse Vision Processing Capabilities Read More +
Before a still image or video stream can be analyzed, it must first be captured and transferred to the processing subsystem. Cameras, along with the interfaces that connect them to the remainder of the system, are therefore critical aspects of any computer vision design. This article provides an overview of camera interfaces, and discusses their
Camera Interfaces Evolve to Address Growing Vision Processing Needs Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previous article we described our PowerVR Imaging Framework, a set of extensions to the OpenCL and EGL APIs that enable efficient zero-copy sharing of memory
Supported Zero-copy Flows Inside the PowerVR Imaging Framework Read More +
LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the most important industry event for innovators developing and deploying products using computer vision. Next year’s Summit will take place May 1-3, 2017 in Santa Clara, California. We are assembling the presentation program and have a limited number of presentation opportunities. We are looking
Embedded Vision Insights: November 29, 2016 Edition Read More +
This is a reprint of a Xilinx-published white paper which is also available here (1 MB PDF). Xilinx INT8 optimization provide the best performance and most power efficient computational techniques for deep learning inference. Xilinx's integrated DSP architecture can achieve 1.75X solution-level performance at INT8 deep learning operations than other FPGA DSP architectures. ABSTRACT The
Deep Learning with INT8 Optimization on Xilinx Devices Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Writing and optimizing code for heterogeneous computing can be difficult, especially if you are starting from scratch. Imagination has set up a new page where developers can
The PowerVR Imaging Framework Camera Demo Read More +
FEATURED VIDEOS "Implementing Eye Tracking for Medical, Automotive and Headset Applications," a Presentation from Xilinx and EyeTech Digital Systems When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain valuable information and new capabilities by detecting and tracking users’ gazes. Robust eye tracking was once limited
Embedded Vision Insights: November 8, 2016 Edition Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Imagination’s R&D group has developed a face detection algorithm, which is based on a classifier cascade and is optimized to run on mobile devices comprising a CPU
Deep Dive: Implementing Computer Vision with PowerVR (Part 3: OpenCL Face Detection) 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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