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Prabu Kumar

Sensor and ISPTechnology Deep Dive

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

Prabu Kumar
by Prabu Kumar
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,...
Edge AI Vision KitsOur Product Insights

What is Secure Boot and How Does it Safeguard Edge AI Vision Deployments?

Prabu Kumar
by Prabu Kumar
Edge AI vision systems execute inference and data processing directly on embedded devices deployed outside controlled environments. Any compromise during startup can expose firmware, models, or connected sensors before applications even load. Secure Boot addresses this risk by enforcing a hardware-rooted chain of trust that validates every stage of the...
Autonomous Mobile RobotsCamera ApplicationsEdge AI Vision Kits

What Sensor Fusion Architecture Offers for NVIDIA Orin NX-Based Autonomous Vision Systems

Prabu Kumar
by Prabu Kumar
Autonomous edge AI vision systems depend on synchronized inputs from cameras, LiDAR, radar, IMU, and GNSS to interpret motion and depth in real time. On NVIDIA Orin NX platforms, even minor timing offsets between sensors can disrupt perception, leading to depth misalignment, tracking drift, and weaker inference outcomes. GNSS-disciplined sensor...
Edge AI Vision KitsOur Product Insights

Top 5 Compelling Features of Darsi Pro – e-con Systems’ Edge AI Vision Box

Prabu Kumar
by Prabu Kumar
As vision programs move from pilots to real deployments, teams face mounting pressure around sustained throughput, thermal behavior, and system stability. Fragmented hardware stacks often slow progress and add integration burden. e-con Systems’ Darsi Pro brings compute, camera connectivity, and edge analytics into a single AI vision box built for...
Edge AI Vision KitsOur Product Insights

Why e-con Systems is expanding beyond Cameras into AI Vision Boxes

Prabu Kumar
by Prabu Kumar
As robotics and mobility projects expand, teams are struggling with scattered components, driver work, and long integration cycles. Fully integrated AI vision boxes have risen as the ultimate solution, combining edge compute power, multi-camera inputs, and sensor pathways in one rugged unit. e-con Systems’ Darsi Pro is an AI vision...
Edge AI Vision KitsOur Product Insights

e-con Systems to Launch Darsi Pro, an NVIDIA Jetson-Powered AI Compute Box for Advanced Vision Applications at CES 2026

Prabu Kumar
by Prabu Kumar
This blog offers expert insights into Darsi Pro, how it delivers a unified vision solution, and what it brings to alleviate modern workloads. Darsi Pro comes with GMSL camera options, rugged design, OTA support, and more. It delivers powerful AI performance for seamlessly enabling mobility and ITS use cases in...
Sensor and ISPTechnology Deep Dive

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

Prabu Kumar
by Prabu Kumar
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....
Technology Deep DiveTime-of-Flight (ToF)

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

Prabu Kumar
by Prabu Kumar
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...
OpticsTechnology Deep Dive

TLens vs VCM Autofocus Technology

Prabu Kumar
by Prabu Kumar
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....