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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

Clear HDR vs DOL HDR: Which HDR Technology is Right for Your Application?

Prabu Kumar
by Prabu Kumar
Embedded vision applications require the camera image sensor to capture a clear image under challenging illumination conditions, with no motion artifacts. The Sony STARVIS 2 image sensor family will meet this requirement by supporting advanced HDR modes, including clear HDR and DOL HDR, enabling high-end embedded vision cameras to deliver...
Camera ApplicationsSmart SurveillanceTechnology Deep Dive

3D Mobile Mapping for Digital Twins: Camera Features That Ensure Accuracy

Ram Prasad
by Ram Prasad
Digital twins depend on how accurately physical environments are captured, reconstructed, and updated over time. Mobile mapping systems feed imaging data of streets, facilities, and structures into photogrammetry and SLAM pipelines to create virtual models. Therefore, camera performance determines if a digital twin can support simulation, planning, and monitoring with...
Sensor and ISPTechnology Deep Dive

Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide

Prabu Kumar
by Prabu Kumar
IMX264 and IMX568 both belong to the Sony Pregius family of image sensors, which feature global-shutter pixels. Both sensors are renowned for their sensitivity, low noise, and distortion-free imaging, and are well-suited to high-speed vision applications, especially those requiring light sensitivity. While both sensors belong to the same Pregius family,...
Sensor and ISPTechnology Deep Dive

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

Prabu Kumar
by Prabu Kumar
Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create 'dust noise' in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical embedded vision applications....
Technology Deep DiveTime-of-Flight (ToF)

Indirect Time-of-Flight: Continuous-Wave or Pulsed – Which Suits Your Needs?

Prabu Kumar
by Prabu Kumar
Indirect ToF has emerged as a practical depth-sensing method for automation, robotics, and mobility systems. CW and pulsed approaches achieve depth measurement differently, shaping their performance in controlled or outdoor conditions. CW systems leverage phase shifts for fine mapping and richer scene data, while pulsed systems rely on timing offsets...
OpticsTechnology Deep Dive

TLens vs VCM Autofocus Technology

Prabu Kumar
by Prabu Kumar
Autofocus is crucial in embedded vision applications across various industries, including medical devices, robotics, and autonomous vehicles. Traditional VCM-based autofocus systems, however, face several challenges: slow response, friction, vibration, motion blur, heat generation, and reduced reliability....
OthersTechnology Deep Dive

Deep Dive into integration challenges of ONVIF-compliant GigE cameras and how ONVIF enhances interoperability

Prabu Kumar
by Prabu Kumar
GigE cameras are being adopted faster in applications that demand high-bandwidth data transmission over long distances up to 100 meters using Ethernet cables. GigE cameras with ONVIF-compliant enable interoperability across different devices smoothly....
Camera InterfaceTechnology Deep Dive

e-con Systems’ High-Performance Cameras and Compute Solutions for NVIDIA Jetson Thor Series

Prabu Kumar
by Prabu Kumar
e-con Systems, an NVIDIA Elite Partner, introduces a portfolio of high-performance cameras and compute platforms optimized for the Jetson Thor series. With support for USB, ONVIF-compliant RouteCAM Ethernet cameras, advanced 10G Holoscan camera solutions, and robust ECU platforms, developers can fully leverage NVIDIA Jetson Thor’s 2070 FP4 TFLOPS AI compute...