This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. High-performance, energy-efficient AI compute is heightening autonomous vehicles’ detection capabilities. For autonomous vehicles, what’s on the surface matters. While humans are taught to avoid snap judgments, self-driving cars must be able to see, detect and act quickly […]
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running
Real-time Face Detection on Raspberry Pi Read More +
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image
Use Case: Defect Detection in Metal Surfaces Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for efficient video perception The saying goes that a picture is worth a thousand words, so what does that imply for video? Video, which is essentially a sequence of static
Making It Possible to Efficiently Analyze Video with AI Read More +
This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Syntiant recently submitted its NDP120 into the MLPerf Tiny category for keyword spotting and our internal measurements pegged our solution at around 60 uJ/inferences at a 6ms latency. As a comparison, the one other published MCU-based benchmark
Is That Your Standby Power? Read More +
This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. The start-up years – how Opteran is laying the right technology foundations for success It’s been several months now since I’ve joined Opteran as Chairman and it has been exciting to get to grips with the
Opteran’s Journey to Complete Natural Intelligence for Machines Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Video recording applications continue to play a key role in automotive. Our history as a company began with recording. It’s an inextricable part of our organizational DNA. Nearly fifteen years ago, we enabled the first-ever 1080p solid-state
Setting Records in Recording Read More +
This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. Words can have multiple meanings. As a result, people involved with adjacent areas of the technology industry often misunderstand each other, even when using the same terms. Each group has its own frame of reference, history and
Edge AI – Speaking the Same Language Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. One of the major challenges in surveillance and monitoring systems is inadequate availability of light. In the past, images captured in low lighting conditions were not clearly visible, had detail loss, and contained noise. Today,
4 Major Factors that Determine the Low Light Performance of a Camera Read More +
This blog post was originally published at Imagination Technologies’ and Visidon’s websites. It is reprinted here with the permission of Imagination Technologies and Visidon. This blog post is a result of a collaboration between Visidon, headquartered in Finland and Imagination, based in the UK. Visidon is recognised as an expert in algorithms for camera image
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