Technologies
scroll to learn more or view by subtopic
The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
View all Posts
LG and Ambarella Join Forces to Advance AI-drive 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
5 Key Features to Look for in RGB-IR Cameras for Biometric Systems
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Selecting the right camera for biometric systems is crucial to ensuring accurate and consistent image capture for applications like facial recognition, iris scanning, and access control. RGB-IR cameras have emerged as a game-changer by capturing
The Unseen Cost of Low Quality Large Datasets
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Your current data selection process may be limiting your models. Massive datasets come with obvious storage and compute costs. But the two biggest challenges are often hidden: Money and Time. With increasing data volumes, companies have a
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
What are the Key Camera Features of Retail Kiosks?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Retail kiosks, from self-checkout to interactive displays, rely on cameras to deliver seamless and efficient customer experiences. Discover how high-performance cameras can enhance security, streamline operations, and drive sales. Explore the latest advancements in camera
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
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
