Object Tracking

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 […]

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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

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“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

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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

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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

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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

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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

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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

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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

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What is Depth of Field and Its Relevance in Embedded Vision?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Depth of Field (DoF) is crucial for embedded vision since it can improve the ability to process and analyze visual data. It is impacted by factors such as aperture size, focal length, and more. Get

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