Technology Deep Dive

Do a deep dive into various camera technologies and understand how they enhance the performance of camera-based devices and help machines see better.

Prabu Kumar

Prabu 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 has built 50+ camera solutions spanning various domains such as medical, industrial, agriculture, retail, biometrics, and more. He also comes with expertise in device driver development and BSP development. Currently, Prabu’s focus is to build smart camera solutions that power new age AI based applications.

What Are the 5 Key Features of 3D iToF Cameras – And How Does DepthVista Helix Offer Them?

Prabu KumarFeb 20, 20260

In an era where spatial awareness and depth perception are becoming crucial, 3D imaging technology has become more popular than ever. This has resulted in Time-of-Flight (iToF) cameras, an advanced imaging solution, changing how machines perceive and interact with the world around them. Unlike traditional 2D cameras that capture only...

Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)

Arun AsokanFebruary 20, 20260

For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are becoming larger and the demand for up-to-date digital twins has intensified. It means that...

Lattice FPGA–Based Holoscan Cameras on NVIDIA AGX Thor & Orin for Scalable Multi-Sensor Edge AI Systems

Prabu KumarFebruary 13, 20260

Present-day edge AI systems rely heavily on multi-modal sensor fusion, such as camera, LiDAR, and Radar, to enable accurate, real-time decision-making. Existing platforms, such as NVIDIA Jetson Orin NX, are equipped to adequately support multi-camera use cases. To advance this further, NVIDIA’s latest Jetson Thor series modules have been combined

A Detailed Guide to Confidence Filtering in Indirect Time of Flight Cameras

Prabu KumarFebruary 17, 20260

Indirect Time-of-Flight (iToF) sensors are among the most widely used 3D camera technologies for depth estimation. However, noisy depth measurements can limit their ability to deliver reliable, high-quality depth data. Applying appropriate filtering techniques helps improve accuracy by suppressing noisy pixels and enhancing depth reliability.

Clear HDR vs DOL HDR: Which HDR Technology is Right for Your Application?

Prabu KumarFebruary 19, 20260

Embedded vision applications require the camera image sensor to capture a clear image under challenging illumination conditions, with no motion artifacts. The Sony STARVIS 2 image sensor family will meet this requirement by supporting advanced HDR modes, including clear HDR and DOL HDR, enabling high-end embedded vision cameras to deliver

3D Mobile Mapping for Digital Twins: Camera Features That Ensure Accuracy

Ram PrasadJanuary 28, 20260

Digital twins depend on how accurately physical environments are captured, reconstructed, and updated over time. Mobile mapping systems feed imaging data of streets, facilities, and structures into photogrammetry and SLAM pipelines to create virtual models. Therefore, camera performance determines if a digital twin can support simulation, planning, and monitoring with

Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide

Prabu KumarJanuary 13, 20260

IMX264 and IMX568 both belong to the Sony Pregius family of image sensors, which feature global-shutter pixels. Both sensors are renowned for their sensitivity, low noise, and distortion-free imaging, and are well-suited to high-speed vision applications, especially those requiring light sensitivity. While both sensors belong to the same Pregius family,

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

Prabu KumarDecember 11, 20250

Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create 'dust noise' in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical embedded vision applications.

Indirect Time-of-Flight: Continuous-Wave or Pulsed – Which Suits Your Needs?

Prabu KumarDecember 5, 20250

Indirect ToF has emerged as a practical depth-sensing method for automation, robotics, and mobility systems. CW and pulsed approaches achieve depth measurement differently, shaping their performance in controlled or outdoor conditions. CW systems leverage phase shifts for fine mapping and richer scene data, while pulsed systems rely on timing offsets

TLens vs VCM Autofocus Technology

Prabu KumarNovember 25, 20250

Autofocus is crucial in embedded vision applications across various industries, including medical devices, robotics, and autonomous vehicles. Traditional VCM-based autofocus systems, however, face several challenges: slow response, friction, vibration, motion blur, heat generation, and reduced reliability.