Sensors and Cameras

NAMUGA Strengthens Vision Solution Partnerships, Expands AI Sensor Collaborations

Namuga Vision Connectivity, News, Sensors and Cameras /

Targeting Autonomous Robotics, Mobility, and VR/AR Markets September 11, 2024 – NAMUGA Co., Ltd. (190510:KOSDAQ) has announced new strategic partnerships with leading AI image sensor companies in North America and Europe to advance its vision module development for emerging VR/AR devices, autonomous robotics, and mobility markets. Breakthrough in LiDAR Technology for Mobility and Robotics The […]

NAMUGA Strengthens Vision Solution Partnerships, Expands AI Sensor Collaborations Read More +

Understanding USB 3.2 vs. USB 3.1 vs. 3.0: What Are Their Differences?

Blog Posts, e-con Systems, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Knowing the differences between USB 3.2, USB 3.1, and USB 3.0 helps equip the right application with the right camera interface. Discover what differentiates these powerful interfaces from each other to make the right choice.

Understanding USB 3.2 vs. USB 3.1 vs. 3.0: What Are Their Differences? Read More +

“Better Farming through Embedded AI,” a Presentation from Blue River Technology

Algorithms, Edge AI and Vision Alliance, Industrial Vision (Computer Vision), Memory, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Chris Padwick, Director of Computer Vision Machine Learning at Blue River Technology, presents the “Better Farming through Embedded AI” tutorial at the May 2024 Embedded Vision Summit. Blue River Technology, a subsidiary of John Deere, uses computer vision and deep learning to build intelligent machines that help farmers grow more food more efficiently. By enabling

“Better Farming through Embedded AI,” a Presentation from Blue River Technology Read More +

IDTechEx Company Profile: Ambarella

Algorithms, Ambarella, Automotive, Market Analysis, Processors, Security, Sensors and Cameras, Software, Tools /

This market research report was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Note: This article was originally published on the IDTechEx subscription platform. It is reprinted here with the permission of IDTechEx – the full profile including SWOT analysis and the IDTechEx index is available as part of

IDTechEx Company Profile: Ambarella Read More +

“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon

Algorithms, Edge AI and Vision Alliance, Entertainment, Memory, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Michael Giannangeli, Senior Manager of Product Management for Alexa Devices at Amazon, presents the “Making Alexa More Ambiently Intelligent with Computer Vision,” tutorial at the May 2024 Embedded Vision Summit. This presentation takes a behind-the-scenes look at the development and launch of adaptive content on Alexa Devices, which uses computer vision to adjust the on-screen

“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon Read More +

Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition

Algorithms, Blog Posts, Face Detection, Sensors and Cameras, Software, Tools, Visidon /

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the ever-evolving landscape of security technology, the accuracy of face detection plays a pivotal role in safeguarding our surroundings. However, the accuracy and efficiency of face detection algorithms can be significantly challenged, especially in low-light conditions

Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition Read More +

“Enabling Smart Retail with Visual AI,” a Presentation from 365 Retail Markets

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Retail, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Himanshu Vajaria, Engineering Manager at 365 Retail Markets, presents the “Enabling Smart Retail with Visual AI” tutorial at the May 2024 Embedded Vision Summit. Automated checkout systems are on the rise—preferred by customers and businesses alike. However, most systems rely on the customer scanning one product at a time and identify the product using a

“Enabling Smart Retail with Visual AI,” a Presentation from 365 Retail Markets Read More +

An Overview of GMSL2 Technology in Automotive Camera Systems

Automotive, Blog Posts, e-con Systems, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL2 (Gigabit Multimedia Serial Link 2) is the second generation of GMSL, a popular interface used in embedded vision for high-bandwidth long-distance transmission. In this blog, we will explore the automotive applications of GMSL2, such

An Overview of GMSL2 Technology in Automotive Camera Systems Read More +

May 2024 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Algorithms, Edge AI and Vision Alliance, Memory, OpenMV, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos, Waveye /

Patrick Lohman, CEO and Co-Founder of Cloneable, Nasim Sahraei, Chief Product Officer at Edgehog Advanced Technologies, Brad Chisum, CEO of eyepop.ai, Kwabena Agyeman, President and CEO of OpenMV, and Gor Hakobyan, CTO of Waveye, deliver their Vision Tank finalist presentations at the May 2024 Embedded Vision Summit. The Vision Tank introduces companies that incorporate visual

May 2024 Embedded Vision Summit Vision Tank Competition Finalist Presentations Read More +

Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking

Algorithms, Blog Posts, NVIDIA, Object Tracking, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis

Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking 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.

Pages

Topics

Contact

Address

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

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