Abstract

This poster describes a new end-to-end virtual prototype solution we have developed for simulating the performances of the whole system of a CMOS Image Sensor Camera from the imaging lens system to the final image, through the optoelectronic sensor itself. Finite Difference Time Domain (FDTD) software is used to simulate how much light is absorbed by the CMOS sensor structure and the diffraction effects throughout the micro-lenses and pixels. 3D Charge Transport Solver is used to compute the probability to capture a photogenerated charge and get the quantum efficiency as a function of the incident angles, wavelengths, and pixel position. Finally, we combine light exposure onto the sensor from 3D environment raytracing software with quantum efficiency from photonics simulations to generate raw images and compute the final image.

Keywords:
Image sensor Pixel Computer science CMOS sensor Software Photonics Solver CMOS Finite-difference time-domain method Optics Computer vision Artificial intelligence Physics Optoelectronics

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Topics

CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced optical system design
Physical Sciences →  Engineering →  Biomedical Engineering
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