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Prabu Kumar

Camera ApplicationsCamera InterfaceMobilityTechnology Deep Dive

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

Prabu Kumar
by Prabu Kumar
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......
Camera InterfaceTechnology Deep Dive

How 10GigE Industrial Cameras Enable Scalable High-Speed Automation

Prabu Kumar
by Prabu Kumar
It’s evident that industrial imaging, these days, depends more and more on automation workflows, which introduces a lot of pressure on imaging. Cameras are expected to send richer image data and keep up with high-throughput machinery. They should also connect to host systems already running robotics, inspection, and control workloads.......
Our Product InsightsTechnology Deep Dive

How to Implement External Trigger-Based Camera Synchronization on NVIDIA Jetson Orin NX and Orin Nano

Prabu Kumar
by Prabu Kumar
Image synchronization is essential in embedded vision applications that require precise, simultaneous capture across multiple cameras.  These cameras use external triggering to capture images at the same moment when a specific event occurs, such as an object reaching a target position on a conveyor belt. The synchronized image improves inspection......
Camera InterfaceTechnology Deep Dive

A Vision Guide to Choosing the Right MIPI Interface: D-PHY vs. M-PHY vs. C-PHY vs. A-PHY

Prabu Kumar
by Prabu Kumar
MIPI technology has evolved through multiple versions, particularly in its physical (PHY) layers. These help enable high-speed serial communication architectures that replace traditional parallel camera and display interfaces, improving bandwidth scalability, power efficiency, and EMI performance. The MIPI physical layers: M‑PHY, C‑PHY, D‑PHY, and A‑PHY are actively used in embedded......
3D Depth CamerasOur Product InsightsTechnology Deep DiveTime-of-Flight (ToF)

Understanding the Role of Temporal Filters in Time of Flight (ToF) Cameras

Prabu Kumar
by Prabu Kumar
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......
Sensor and ISPTechnology Deep Dive

Sony IMX678 vs IMX715 vs IMX415: Which Sony STARVIS Sensor Does Your Vision System Need?

Prabu Kumar
by Prabu Kumar
Sony’s IMX415, IMX715, and IMX678 CMOS image sensors represent successive generations in Sony’s imaging portfolio. All three sensors deliver 4K Ultra-HD (3840 × 2160) resolution but differ significantly in pixel architecture, sensitivity, and imaging performance. These sensors are widely used in industrial inspection, smart surveillance, and factory automation, where imaging...
Technology Deep Dive

Enabling Flexible Multi-Sensor USB Cameras with Lattice CrossLink-NX FPGAs

Prabu Kumar
by Prabu Kumar
Fixed-function USB camera chips define a rigid pipeline from sensor to output and leave no room for reconfiguration. e-con Systems has built a USB camera solution on Lattice Semiconductor's CrossLink-NX33U FPGA that replaces that constraint. The result eliminates the need for separate ISP chips, external USB controllers, and multiple PCBs...
Sensor and ISPTechnology Deep DiveTime-of-Flight (ToF)

What is a spatial filter, and how does it enhance Depth Quality in ToF Cameras?

Prabu Kumar
by Prabu Kumar
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......
OpticsTechnology Deep Dive

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

Prabu Kumar
by Prabu Kumar
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'...