Object Identification Functions
New AI Model Offers Cellular-level View of Cancerous Tumors
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships triggers cancers to grow. BioTuring, a San Diego-based startup,
Top-tier ADAS Systems: Exploring Automotive Radar Technology
Radars have had a place within the automotive sector for over two decades, beginning with the first use for adaptive cruise control and many other developments taking place since. IDTechEx‘s “Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars” report explores the latest developments in radar technology within the automotive sector. ADAS safety systems ADAS (advanced
SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 1)
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this article we introduce Segment Anything Model 2 (SAM 2). Then, we walk you through how you can set it up and run inference on your own video clips. Learn more about visual prompting
Empowering Civil Construction with AI-driven Spatial Perception
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced
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
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
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
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
Automotive Radar Market 2025-2045: Robotaxis and Autonomous Cars
For more information, visit https://www.idtechex.com/en/research-report/automotive-radar-market-2025-2045-robotaxis-and-autonomous-cars/1061. The automotive radar market is forecast to hit 500 million annual sales in 2041 IDTechEx’s report, Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars, predicts the automotive radar market will hit 500 million annual sales in 2041. The market share today is dominated by the big tier-one companies like Continental,
