Object Tracking

How Au-Zone Technologies Plays a Key Role in the Ocean Cleanup Automated Debris Imaging System

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Founded in 2012 in Rotterdam, The Netherlands, The Ocean Cleanup is developing and scaling technologies to rid the oceans of plastic with ocean cleanup systems and river interception technologies. With over 150 employees, The Ocean […]

How Au-Zone Technologies Plays a Key Role in the Ocean Cleanup Automated Debris Imaging System Read More +

Lidar’s Place as a Mass-market Automotive Sensor

A vehicle using radar and cameras to detect traffic ahead. LiDAR has been touted as a solution to the automotive industry’s endeavor to build safer and completely driverless cars, working towards a world with zero road fatalities and more accessible transport. So, after a decade of development, testing, trials, funding, partnerships, acquisitions, mergers, etc, where

Lidar’s Place as a Mass-market Automotive Sensor Read More +

The Role of Golf Swing Analysis Cameras in Golf Simulator Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Golf simulator and golf swing analysis cameras are designed for detailed and immersive analysis of the golf game. These cameras are used to track the ball’s motion, trajectory, spin rate, and speed after impact to

The Role of Golf Swing Analysis Cameras in Golf Simulator Systems Read More +

The Automotive Radar Market: Three Key Takeaways

Front mounted short-range side radars enabling junction pedestrian automatic emergency braking will be a key source of automotive radar market growth. The automotive industry has been using radar for two and a half decades. During that time, it has transformed from enabling luxury features on the most expensive cars, to being used ubiquitously for basic

The Automotive Radar Market: Three Key Takeaways Read More +

Improving Vision Model Performance Using Roboflow and Tenyks

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. When improving an object detection model, many engineers focus solely on tweaking the model architecture and hyperparameters. However, the root cause of mediocre performance often lies in the data itself. ‍In this collaborative post between Roboflow and

Improving Vision Model Performance Using Roboflow and Tenyks Read More +

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 3 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. ‍Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 3 of 3) Read More +

Computer Vision and AI at the Edge with a Thermal Camera Provider and a Toy Manufacturer

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As the pace of artificial intelligence innovation accelerates, we’re seeing AI and computer vision go from science fiction tropes to enabling highly efficient and compelling applications. This integration is particularly potent at the edge, where devices locally

Computer Vision and AI at the Edge with a Thermal Camera Provider and a Toy Manufacturer Read More +

New Edge AI-enabled Radar Sensor from TI Empowers Automakers to Reimagine In-cabin Experiences

News highlights: TI enhances detection accuracy with the industry’s first single-chip 60GHz millimeter-wave (mmWave) radar sensor to support three in-cabin sensing applications enabled by edge artificial intelligence (AI). Auto manufacturers can deliver premium audio experiences with a highly integrated automotive Arm®-based microcontroller (MCU) and processor with TI’s vector-based C7x digital signal processor (DSP) core to

New Edge AI-enabled Radar Sensor from TI Empowers Automakers to Reimagine In-cabin Experiences Read More +

Nextchip Demonstration of an ISP-based Thermal Imaging Camera

Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2024 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a thermal imaging camera design based on the company’s ISP. The approach shown enhances night-time detection of pedestrians and animals beyond current visual capabilities, which

Nextchip Demonstration of an ISP-based Thermal Imaging Camera Read More +

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In this series, we’ll build a data-centric pipeline using Tenyks to debug and fix a model trained with the NVIDIA TAO Toolkit. ‍Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline tailored for a

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3) 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

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

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