Technologies
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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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Seeing In the Dark: Infrared for Automotive
Infrared sensors are becoming more popular in vehicles for advanced driver assistance systems (ADAS), in-cabin sensing, and driver monitoring systems (DMS), largely due to advancements in vehicle safety and awareness. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores the types of infrared sensors that are commonly used, and forecasts for
Multimodal Large Language Models: Transforming Computer Vision
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article introduces multimodal large language models (MLLMs) [1], their applications using challenging prompts, and the top models reshaping computer vision as we speak. What is a multimodal large language model (MLLM)? In layman terms, a multimodal
How Qualcomm is Catalyzing Retail’s AI Revolution
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Retail is embracing innovation — we’ll be showing off examples of these game-changing experiences at NRF 2025 With more places to shop than ever, physical stores are turning to AI and technology for a competitive edge. That
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
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
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 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
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
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
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
