Prabu Kumar, Author at e-con Systems

What makes Automatic De-icing and Defogging Cameras Crucial in Dynamic Environments

Prabu KumarMarch 26, 20260

Autonomous embedded vision systems deployed in dynamic environments must function reliably despite rapid temperature shifts. In addition to thermal challenges, effective power management is equally critical. Such fluctuations can result in inaccurate obstacle detection, difficulty in scanning barcodes or signage, and even unexpected vision blur in safety-critical operations. e-con Systems'

Sony IMX412 vs Sony IMX676: A detailed comparison of Sony sensors for Embedded Vision Solutions

Prabu KumarMarch 23, 20260

Sony's image sensors have undergone various generations of architectures, each of which has been designed to address certain image-related issues in embedded systems. Among Sony's high-resolution image sensors, the Sony IMX676 and Sony IMX412 deliver advanced capabilities such as high-speed imaging, superior low-light sensitivity, enhanced dynamic range, and improved near-infrared

Why High-Resolution 3D Depth Is Critical for Next-Generation Robots

Prabu KumarMarch 9, 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...

What Is MCU-Based Power Management – and Why Does Your Vision System Need It?

Prabu KumarFeb 27, 20260

Power management is core to the reliability of autonomous vehicles and sophisticated mobility applications, which require instant wake-up (within milliseconds). This has led to the utmost need for an energy-efficient, intelligent vision solution. e-con Systems offers Darsi Pro, an edge AI vision box that incorporates a dedicated Micro Controller Unit

Depth-Assisted Facial Anti-Spoofing: How DepthVista Helix Enables Reliable Liveness Detection

Prabu KumarMarch 3, 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...

What Makes Darsi Pro a Perfect Unified AI Vision Box for Delivery Robots?

Prabu KumarFeb 25, 20260

Delivery robots are increasingly expected to operate across public sidewalks, campuses, residential zones, and mixed urban routes. With deployments moving past pilot phases, vision reliability becomes a deciding factor for safety, uptime, and route consistency. Furthermore, outdoor exposure, repeated stop-start motion, and pedestrian interaction place higher demands on perception hardware....

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...

e-con Systems Launches DepthVista Helix 3D iToF Camera for Accurate Depth Sensing in Robotics and Smart Automation

Prabu KumarFebruary 18, 20260

Introducing DepthVista Helix, the next-generation 3D Continuous Wave (CW) indirect Time-of-Flight (iToF) camera from e-con Systems® designed to deliver highly accurate and reliable depth perception for robotics and smart automation. Explore its key features and applications.

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

Prabu KumarMarch 24, 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.