English – Page 8 – e-con Systems

e-con Systems’ RouteCAM_CU22 simplifies Integration with NVIDIA Metropolis

Suresh MadhuMay 21, 20240

NVIDIA Metropolis streamlines the usage of Edge AI applications on NVIDIA Jetson devices with a modular framework. Find out why it's so popular, how it works, and why e-con Systems’ RouteCAM_CU22 is a best-fit camera.

e-con Systems’ CloVis Central™ : A Cloud-based Device management platform

Suresh MadhuMay 21, 20240

As an easy-to-use camera management platform, CloVis Central™ enables remote monitoring, configuration, and control of multiple cameras. In turn, this provides intelligent solutions for managing visual data across various applications. Paired with the e-con Systems’ CloVis Central™ simplifies the camera management process, it empowers you to focus only on models/algorithms

e-con Systems™ launches New Rugged PoE HDR Camera with Cloud-Based Device Management for Superior Outdoor Imaging

Suresh MadhuJune 20, 20240

e-con Systems has introduced a new IP67-rated HDR PoE camera—RouteCAM_CU22, the powerful addition to its high-performance Ethernet camera series to endure the tough outdoor conditions. This newly launched GigE camera is equipped with the Sony® STARVIS™ IMX662 sensor and superior HDR capability, delivering exceptional image quality.

Pixelation Artifact in Microscopic Imaging and Their Prevention Methods Using Advanced Camera Features

Balaji SFebruary 23, 20240

In microscopic imaging, pixelation is one of the most commonly occurring artifacts, as the camera subjects are micro-level. Pixelation artifact occurs when the magnification surpasses an image sensor’s capabilities, by which indistinct pixel boundaries appear. In this blog, we are exploring pixelation artifacts, their causes, and reduction methods.

What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them

Balaji SMay 21, 20240

Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging. Blooming or saturation artifact is one such artifact that largely depends on the type of sensor used in

Optical Zoom vs. Digital Zoom in Embedded Vision Cameras

Prabu KumarNovember 8, 20240

There are two major approaches to camera-related magnification - optical zoom and digital zoom. One relies on manual adjustments while the other leverages software algorithms. Explore the differences, advantages, and limitations of both these approaches.

What are the Key Camera Features of Warehouse Automation Drones?

Gomathi SankarMay 21, 20240

Warehouse automation drones require advanced camera vision sensors and technologies to ensure efficient performance. Enhancing the navigation accuracy and decision-making capabilities of warehouse drones can be achieved by incorporating appropriate camera features into their embedded systems. This blog discusses the essential camera features that enable high-performance warehouse automation drones.

Understanding the Impact of Embedded Vision on Patient Rehabilitation

Balaji SFebruary 8, 20240

Patient rehabilitation is a comprehensive process aimed at restoring or improving an individual's physical, mental, or functional abilities after illness, injury, or surgery. It encompasses a range of therapies and interventions tailored to address specific impairments and challenges faced by patients. This blog explores how advanced camera features enabled by

Enhancing Precision Agriculture with 20MP High-Resolution Cameras for Weed and Bug Detection

Gomathi SankarFebruary 16, 20240

Precision agriculture techniques have grown exponentially in the last decade due to the ever-advancing camera technologies. In this blog, we explore how a 20MP high-resolution AR2020 sensor-powered camera and its functionality help enhance precision agriculture techniques such as weed and bug detection methods.

What is Gamma Correction and Its Importance in Embedded Vision?

Prabu KumarNovember 6, 20240

Gamma correction play a key role in ensuring that images appear correctly in the camera, taking into account the non-linear perception of brightness. Get to know how gamma correction works, why it's important for embedded vision systems and some of the challenges that need to be overcome.