Recent Posts - Page 4 of 37

A Comprehensive Study: MJPEG and H.264 Compression in Embedded Vision

Prabu KumarMarch 13, 20240

Many differences exist between MJPEG and H.264 video compression formats. MJPEG offers simplicity and high image quality, while H.264 takes efficiency to the next level. Get expert insights on their critical applications and considerations.

What is Signal-to-Noise Ratio (SNR)? Why is SNR important in embedded cameras?

Prabu KumarMay 21, 20240

Signal-to-Noise Ratio (SNR) measures the strength of the desired signal relative to the background noise. Demystify how SNR is calculated and develop an understanding of the practical steps to improve SNR.

A Comprehensive Study: H.264 vs H.265 Compression in Embedded Vision

Prabu KumarMar 7, 20240

The choice between H.264 and H.265 video compression standards is crucial. One is known for its wide compatibility and performance, while the other doubles down on compression efficiency. Unearth a full comparison between these two standards.

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: See What Best Suits Your Embedded Vision Application

Prabu KumarFebruary 16, 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.

The Role of AI-Driven Embedded Vision Cameras in Self-Checkout Loss Prevention

What is Lens Distortion? Exploring its Types, Critical Factors, and Correction Methods

Why Ethernet Cameras are Increasingly Used in Medical and Life Sciences Applications

A Comprehensive Study: MJPEG and H.264 Compression in Embedded Vision

What is Signal-to-Noise Ratio (SNR)? Why is SNR important in embedded cameras?

A Comprehensive Study: H.264 vs H.265 Compression in Embedded Vision

e-con Systems’ RouteCAM_CU22 simplifies Integration with NVIDIA Metropolis

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

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

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

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

Optical Zoom vs. Digital Zoom: See What Best Suits Your Embedded Vision Application

What are the Key Camera Features of Warehouse Automation Drones?