fbpx

Algorithms

“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo

Alex Fink, consultant at Panopteo, presents the “10 Things You Must Know Before Designing Your Own Camera” tutorial at the May 2021 Embedded Vision Summit. Computer vision requires vision. This is why companies that use computer vision often decide they need to create a custom camera module (and perhaps other custom sensors) that meets the […]

“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo Read More +

Real-time Face Detection on Raspberry Pi

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 +

“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa

Erik Chelstad, CTO and co-founder of Observa, presents the “Maintaining DNN Accuracy When the Real World is Changing” tutorial at the May 2021 Embedded Vision Summit. We commonly train deep neural networks (DNNs) on existing data and then use the trained model to make predictions on new data. Once trained, these predictive models approximate a

“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa Read More +

Arm Transforms the Economics of IoT with Virtual Hardware and a New Solutions-led Offering

News Highlights: Arm Total Solutions for IoT delivers a full stack solution to significantly accelerate IoT product development and improve product ROI Arm Virtual Hardware removes the need to develop on physical silicon, enabling software and hardware co-design and accelerating product design by up to two years A new Arm ecosystem initiative called Project Centauri

Arm Transforms the Economics of IoT with Virtual Hardware and a New Solutions-led Offering Read More +

Use Case: Defect Detection in Metal Surfaces

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 +

“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri

Moritz August, CDO at Nomitri GmbH, presents the “Deploying PyTorch Models for Real-time Inference On the Edge” tutorial at the May 2021 Embedded Vision Summit. In this presentation, August provides an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware

“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri Read More +

Making It Possible to Efficiently Analyze Video with AI

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 +

“Computer Vision for the Built Environment,” a Presentation from Nomad Go

David Greschler, CEO and co-founder of Nomad Go, presents the “Computer Vision for the Built Environment” tutorial at the May 2021 Embedded Vision Summit. Facilities and operations managers of buildings, college campuses, retail and foodservice establishments all struggle to answer one fundamental question: “What are people doing in our spaces?” Computer vision – specifically edge

“Computer Vision for the Built Environment,” a Presentation from Nomad Go Read More +

“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder

Jonathan Cefalu, CEO and founder of NeuroBinder, presents the “Secure Hardware Architecture for Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Security is a problem for every IoT system, but due to privacy concerns, security is particularly worrisome for embedded vision systems. In this talk, Cefalu covers how to design your embedded device

“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder Read More +

“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra

Alexander Belugin, Computer Vision Product Manager at Nedra, presents the “Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing” tutorial at the May 2021 Embedded Vision Summit. Deploying computer vision-based solutions in very remote locations (such as those often found in mining and oil drilling) introduces unique challenges. For example, it

“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra 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

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

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