Prabu Kumar, Author at e-con Systems

IYZU Is Finally Here: Meet e-con Systems’ New Mascot

Prabu KumarSeptember 1, 20260

Prabu KumarPrabu is the Chief Technology Officer and Head of Camera Products at e-con Systems, and comes with a rich experience of more than 15 years in the embedded vision space. He brings to the table a deep knowledge in USB cameras, embedded vision cameras, vision algorithms and FPGAs. He...

e-con Systems Is Now IATF 16949 Certified: A Step Towards Advancing Automotive Vision Excellence

Prabu KumarAug 28, 20260

e-con Systems has achieved IATF 16949 certification, with its scope covering design and manufacturing of embedded vision systems, marking a new milestone in our automotive vision journey. The achievement further reflects our continued commitment to automotive quality management under the IATF 16949:2016 standard. Bureau Veritas Certification awarded the IATF 16949...

How to Evaluate Lens Flare in Embedded Vision Systems: From ISO 18844 to IEEE P2020

Prabu KumarAug 25, 20260

When evaluating the performance of a camera system, it is easy to assume that image artifacts stem from the digital sensor or the Image Signal Processor (ISP). However, one of the most stubborn and destructive phenomena in embedded vision is purely optical: Lens Flare. Our previous blog explored how optical...

A Closer Look at e-con Systems’ Latest 120dB HDR Rear View Camera – STURDeCAM12

Prabu KumarAug 7, 20260

e-con Systems’ STURDeCAM12 is a new 1.3MP automotive-grade camera developed for rear-view, 360° surround-view, and mobility systems. The camera brings together HDR imaging, long-distance connectivity, synchronization, rugged construction, and more – making it a perfect fit for challenging use cases such as blind spot detection and 360-degree surround-view. At its...

How e-con Systems Delivered a Complete RGB-D Vision Solution for a Physical AI Robotics Leader

Prabu KumarAugust 24, 20260

Physical AI is moving fast from lab demos to production floors, but it only works if robots can perceive the world with human-like precision. For a robotic arm picking thousands of unique objects an hour, depth perception is measured in millimeters. And so, even a few millimeters of error can

DriverDeck: Quick Camera Driver Integration for NVIDIA Jetson Development Kits

Prabu KumarJuly 31, 20260

Manual camera driver integration can be time-consuming and error-prone. This blog explores how DriverDeck streamlines driver deployment, automates camera validation, eliminates repetitive manual tasks, and helps developers accelerate embedded vision application development on NVIDIA Jetson platforms.

A Developer’s Guide to USB Camera Streaming on Linux Using Open-Source Command-Line Tools

Prabu KumarJuly 13, 20260

Streaming from a camera on Linux is a common requirement, especially for developers building embedded vision applications. In many cases, proprietary software solutions add licensing costs and limit flexibility, making it difficult to customize workflows for specific applications. To overcome these challenges, we will demonstrate how to leverage popular open-source...

How the Lack of Black Level Correction Can Affect Image Quality

Prabu KumarJuly 15, 20260

The first blog in this series covered what Black Level Correction (BLC) is, the physics behind dark current and the black level offset, how that offset is measured, why sensors add a deliberate pedestal before the ADC, and how BLC interacts with each stage of the ISP pipeline from lens...

Black Level Correction in Image Sensors: What It Is and Why It Matters

Prabu KumarJuly 15, 20260

Black Level Correction (BLC) is a vital stage in the Image Signal Processing (ISP) pipeline. It is one of the components of the camera tuning process, and is usually performed after Dead Pixel Correction. BLC’s primary purpose is to remove sensor-generated offsets and noise present even without incoming light. In...

How GMSL Health Monitoring and Error Recovery in e-con Systems’ STURDeCAM Series Enhances Autonomous Mobility

Prabu KumarJune 22, 20260

GMSL technology is a high-speed and power-efficient video link commonly used in advanced driver assistance systems (ADAS), smart traffic, and robotic applications. It operates by employing serializers to convert data into a serial stream on the transmitter side and deserializers to convert it back into a parallel word for processing...