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.

Prabu Kumar

Prabu 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 has built 50+ camera solutions spanning various domains such as medical, industrial, agriculture, retail, biometrics, and more. He also comes with expertise in device driver development and BSP development. Currently, Prabu’s focus is to build smart camera solutions that power new age AI based applications.

What is Color Accuracy? How to Measure Color Accuracy?

Prabu KumarApril 30, 20240

In this blog, we'll explore the factors that determine color accuracy and the measures that can be taken to increase it.

A Deep Dive into Types of Camera Noise, and Their Impact on Image Quality

Prabu KumarApril 23, 20240

Managing and mitigating camera noise can be a make-or-break moment. It often manifests as random pixel variations or color artifacts and degrades image quality. Find out the origins of camera noise, the different types, the practical impact, and finally - how to overcome.

A Comprehensive Study: MJPEG and H.264 Compression in Embedded Vision

Prabu KumarMarch 13, 20240

Many differences exist between MJPEG and H.264 video compression formats. MJPEG offers simplicity and high image quality, while H.264 takes efficiency to the next level. Get expert insights on their critical applications and considerations.

What is Signal-to-Noise Ratio (SNR)? Why is SNR important in embedded cameras?

Prabu KumarMarch 12, 20240

Signal-to-Noise Ratio (SNR) measures the strength of the desired signal relative to the background noise. Demystify how SNR is calculated and develop an understanding of the practical steps to improve SNR.

A Comprehensive Study: H.264 vs H.265 Compression in Embedded Vision

Prabu KumarMar 7, 20240

The choice between H.264 and H.265 video compression standards is crucial. One is known for its wide compatibility and performance, while the other doubles down on compression efficiency. Unearth a full comparison between these two standards.

Optical Zoom vs. Digital Zoom: See What Best Suits Your Embedded Vision Application

Prabu KumarFebruary 16, 20240

There are two major approaches to camera-related magnification - optical zoom and digital zoom. One relies on manual adjustments while the other leverages software algorithms. Explore the differences, advantages, and limitations of both these approaches.

What is gamma correction, and why is it so crucial for embedded vision systems?

Prabu KumarFebruary 5, 20240

Gamma correction play a key role in ensuring that images appear correctly in the camera, taking into account the non-linear perception of brightness. Get to know how gamma correction works, why it's important for embedded vision systems and some of the challenges that need to be overcome.

How Ethernet Cameras Are Making a Comeback with New, Powerful Features

Prabu KumarJanuary 19, 20240

In this blog, you’ll get expert insights about the role of Ethernet cameras in embedded vision, their challenges, and the exciting features that continue to make PoE technology extremely valuable.

Fixed-focus lens vs. autofocus lens: How to choose the best lens for your application

Prabu KumarJanuary 31, 20240

In this blog, you'll learn about these two lens types with key insights into their attributes and best-use scenarios in the world of embedded vision.

Everything you need to know about 3D mapping cameras

Prabu KumarApril 15, 20240

3D mapping technology greatly improves imaging capabilities, empowering applications used in industries like manufacturing, healthcare, agriculture, etc. Learn about the types of 3D cameras, their key components, and benefits. Also get to know popular use cases of 3D mapping.