Object Tracking Functions
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,
The Ultimate Guide to Golf Simulator Cameras: Enhancing Your Indoor Golf Experience
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Indoor simulators must capture the nuanced motions of a golf swing to help players fine-tune their swings across weather conditions. The right imaging solution makes all the difference. Learn about the different types of cameras
The Impact of AI On the Automotive Industry
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The automotive industry has undergone a profound transformation over the years, with technological advancements driving innovation at an unprecedented pace. One of the most influential technologies shaping the future of vehicles is Artificial Intelligence. AI’s integration into
“Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio
Carter Maslan, CEO of Camio, presents the “Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how vision language models interpret policy text to enable much more sophisticated understanding of scenes and human behavior compared with current-generation
LG and Ambarella Join Forces to Advance AI-driven In-cabin Vehicle Safety Solutions
LG Sets New Standard in Accuracy and Reliability for In-Cabin Solutions with Ambarella-Powered Driver Monitoring System; Plans Demo During CES 2025 SEOUL, Korea and SANTA CLARA, Calif., Dec. 4, 2024 — LG Electronics (LG), a mobility sector technology leader, and Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that LG will showcase
Passenger Detection and Nighttime Safety – Exploring Infrared Technology
ADAS braking systems, night vision, and driver monitoring can all be enhanced using the infrared spectrum. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores long-wave infrared (LWIR), short-wave infrared (SWIR), and near-infrared (NIR) sensors as means to increase the safety and protection of road users. Long-wave infrared and autonomous possibilities
Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB
Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. In Part 2
Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a state-of-the-art sensor designed to capture data for an autonomous vehicle. The excitement quickly turns to anxiety as you realize the
Top 4 Computer Vision Problems & Solutions in Agriculture — Part 1
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series, we highlight the 4 main issues you are likely to encounter in object detection datasets in agriculture. We begin by summarizing the challenges of applying AI to crop monitoring and yield
