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.

Technology Deep Dive

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

Prabu Kumar
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....
Technology Deep Dive

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

Prabu Kumar
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....
Sensor and ISPTechnology Deep Dive

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

Prabu Kumar
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....
Technology Deep Dive

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

Prabu Kumar
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....
OpticsTechnology Deep Dive

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

Prabu Kumar
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....
Sensor and ISPTechnology Deep Dive

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

Prabu Kumar
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....
Camera InterfaceTechnology Deep Dive

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

Prabu Kumar
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....
OpticsTechnology Deep Dive

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

Prabu Kumar
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....
Technology Deep DiveTime-of-Flight (ToF)

Everything you need to know about 3D mapping cameras

Prabu Kumar
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....
Camera InterfaceTechnology Deep Dive

The Role of Precision Time Protocol Synchronization in Ethernet Cameras

Prabu Kumar
Ethernet cameras rely on precise timing and synchronization for accurate data transmission. The Precision Time Protocol (PTP) ensures sub-microsecond accuracy, synchronizing time clocks among IP-connected devices. Gain expert insights into how precise timing and synchronization work within Ethernet cameras. Discover the critical role of PTP modes in preserving data integrity...