Developer Resources
contact usContact Us
LoginLogin / Register

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.

Sensor and ISPTechnology Deep Dive

Black Level Correction in Image Sensors: What It Is and Why It Matters

Prabu Kumar
by Prabu Kumar
Black Level Correction (BLC) is a vital stage in the Image Signal Processing (ISP) pipeline. It is one of the components of the camera tuning process, and is usually performed after Dead Pixel Correction. BLC’s primary purpose is to remove sensor-generated offsets and noise present even without incoming light. In......
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......
Camera ApplicationsMobilityRGB-IRTechnology Deep Dive

Why STURDeCAM57’s On-Camera RGB & IR Frame Processing Changes Everything for DMS

Suresh Madhu
by Suresh Madhu
Most discussions about RGB-IR cameras focus on what they capture. The more consequential question for engineers building DMS systems is what happens to that data after it leaves the sensor, specifically, who does the processing, and what it costs the system when that work lands in the wrong place. e-con......
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...