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Prabu Kumar

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....
Our Product InsightsPlatform Cameras

How FPGA-Based Frame Grabbers Are Powering Next-Gen Multi-Camera Systems

Prabu Kumar
by Prabu Kumar
FPGA-based frame grabbers are redefining multi-camera vision by enabling synchronized aggregation of up to eight GMSL streams for autonomous driving, robotics, and industrial automation. They overcome bandwidth and latency limits of USB and Ethernet by using PCIe Gen3, while FPGA-driven architecture ensures deterministic performance for real-time analytics. Learn about the...
OthersTechnology Deep Dive

Deep Dive into integration challenges of ONVIF-compliant GigE cameras and how ONVIF enhances interoperability

Prabu Kumar
by Prabu Kumar
GigE cameras are being adopted faster in applications that demand high-bandwidth data transmission over long distances up to 100 meters using Ethernet cables. GigE cameras with ONVIF-compliant enable interoperability across different devices smoothly....
Camera InterfaceTechnology Deep Dive

e-con Systems’ High-Performance Cameras and Compute Solutions for NVIDIA Jetson Thor Series

Prabu Kumar
by Prabu Kumar
e-con Systems, an NVIDIA Elite Partner, introduces a portfolio of high-performance cameras and compute platforms optimized for the Jetson Thor series. With support for USB, ONVIF-compliant RouteCAM Ethernet cameras, advanced 10G Holoscan camera solutions, and robust ECU platforms, developers can fully leverage NVIDIA Jetson Thor’s 2070 FP4 TFLOPS AI compute...