Knowledge / Technical White Papers
Technical White Papers
& Imaging Insights
Explore research and technical papers on optics, AI vision, wide-angle imaging, and camera system design.
FEATURED WHITE PAPER
Optimizing camera system development:
A robust simulation tool for advanced vision applications
Learn how simulation-driven workflows help engineering teams evaluate optics, sensors, ISP pipelines, and AI vision performance before hardware decisions are made. This white paper explores how virtual validation can reduce development risk, accelerate design cycles, and improve overall camera system performance.
Explore more White Papers
Evaluating the impact of wide-angle lens distortion on learning-based depth estimation
Analyzes how wide-angle lens distortion affects learning-based depth estimation in AI vision systems. Through simulation-driven evaluation, the study examines how different distortion models influence neural network performance and depth estimation accuracy across wide-field imaging applications.
Enhancing learning-based computer vision algorithms accuracy in sUAS using navigation wide-angle cameras
Explores how wide-angle navigation cameras can improve learning-based computer vision performance in small unmanned aircraft systems (sUAS). Using simulation-driven evaluation, the study analyzes how optical design and field-of-view characteristics influence AI perception, autonomous navigation, and sense-and-avoid capabilities.
Freeform wide-angle camera lens enabling mitigable distortion
Presents a freeform wide-angle camera lens design approach that enables mitigable distortion while maintaining a large field of view. The study explores how controlled distortion can improve image usability, preserve scene naturalness, and support advanced imaging and AI vision applications.
Methodology to design mobile-based camera lenses using freeform surfaces
Introduces a methodology for designing mobile camera lenses using freeform optical surfaces to improve imaging performance in compact systems. The study examines how freeform optics can enhance field of view, reduce distortion, and optimize image quality for next-generation mobile imaging applications.
Learning-based depth estimation on wide-angle images with non-linear distortion
Investigates how non-linear distortion in wide-angle images influences learning-based depth estimation. Using simulation-driven evaluation, the study compares different panomorph lens distortion models and examines their impact on neural network performance and depth prediction accuracy.
On the modelling of the optical properties of a metasurface composed of nanofins
Presents a semi-analytical model for predicting the optical properties of dielectric metasurfaces composed of nanofins. The study explores how effective medium theory and propagation modelling can be used to accurately estimate phase behavior and optical performance, enabling faster metasurface design and optimization.
Wide-angle lens with improved relative illumination characteristics
Explores optical design techniques for improving relative illumination in wide-angle lenses without relying on complex coatings. The study analyzes polarization effects, Fresnel losses, and innovative lens design approaches that enhance brightness and image quality across the full field of view.
Geometrical-based quasi-aspheric surface description and design method for miniature, low-distortion, wide-angle camera lens
Demonstrates how controlled optical distortion can improve imaging system performance. The study shows how distortion management can increase resolution in key areas, optimize pixel usage, and support advanced wide-angle applications such as surveillance, video conferencing, and panoramic imaging.
Panomorph for Smartphones & Tablets
Explores how Panomorph technology enables immersive 360° video conferencing and wide-angle imaging on smartphones and tablets. By combining specialized optics with distortion-correction software, the solution increases sensor utilization, optimizes resolution in areas of interest, and provides a more flexible mobile video communication experience.
Enhanced optical design by distortion control
Shows how controlled optical distortion can improve imaging performance. The study explores how optimized distortion profiles can increase resolution in areas of interest, improve pixel utilization, and support advanced wide-angle applications such as surveillance, video conferencing, and panoramic imaging.
Consumer Electronic Optics:
How small a lens can be?
Examines the miniaturization of panomorph lenses for consumer electronics and mobile devices. The study explores optical design and manufacturing advances that enabled significant reductions in lens size while maintaining a 180° field of view and supporting emerging imaging applications.
Design, fabrication and test of miniature plastic panomorph lenses with 180° field of view
This study explores how advanced optical design, targeted distortion, and compact lens architectures enable high-performance wide-angle imaging for consumer electronics and mobile devices. It examines the challenges of achieving a 180° field of view in miniature lens systems while maintaining image quality and efficient sensor utilization.
Space Telemetric Panomorph Imaging System for Micro/Nano Satellites
Introduces a compact panomorph imaging system designed for micro and nanosatellites. The study explores how a single wide-angle optical module can combine space imaging, Earth horizon sensing, and star tracking functions while reducing system size, mass, power consumption, and complexity.
Enhanced Surveillance System Based on Panomorph Panoramic Lenses
Presents an advanced surveillance system based on Panomorph panoramic lenses for 360° area coverage. The study explores how intelligent video analytics, wide-angle imaging, and optimized pixel distribution can improve event detection, tracking, and operational efficiency while maintaining full situational awareness.
Panoramic Lens
Applications Revisited
Reviews the evolution of panoramic imaging technologies and explores modern applications of Panomorph lenses. The study highlights how distortion control and optimized image mapping can improve surveillance, automotive vision, robotics, medical imaging, immersive projection, and remote sensing systems.
Novel Hemispheric Image Formation:
Concepts & Applications
Introduces a novel hemispheric image formation approach based on controlled image mapping. The study explores how customized distortion profiles can improve resolution in zones of interest, enhance sensor utilization, and optimize wide-angle imaging performance.
360° Endoscopy Using Panomorph Lens Technology
Presents a 360° endoscopic imaging approach based on Panomorph lens technology. The study explores how wide-angle imaging, customized resolution distribution, and advanced visualization software can improve field of view, reduce scope manipulation, and enhance minimally invasive surgical procedures.
IR Panomorph Lens Imager
and Applications
Explores an infrared panoramic imaging system based on Panomorph lens technology. The study highlights how optimized pixel distribution, thermal imaging, and hemispheric field coverage can improve surveillance, situational awareness, threat detection, and security applications.
360° Vision System: Opportunities in Transportation
Looks at how 360° vision systems can improve transportation safety and driver assistance. The study examines how panoramic imaging and Panomorph lens technology can support collision avoidance, blind spot monitoring, adaptive cruise control, parking assistance, and vehicle surround vision.
Novel Compact Panomorph Lens Based Vision System for Monitoring Around a Vehicle
Examines how a compact Panomorph-based vision system can provide complete vehicle surround monitoring using fewer sensors. The study explores applications including blind spot monitoring, road sign detection, lane departure warning, parking assistance, and driver safety systems.
After independent testing, Immervision’s low-light camera was
easily two times better than the nearest competitor,
providing superior performance for our drones.
Ryan Kier
Senior Electrical Engineer
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