Graphics Visualization

Download A Biologically Inspired CMOS Image Sensor by Mukul Sarkar PDF

By Mukul Sarkar

Biological platforms are a resource of suggestion within the improvement of small self reliant sensor nodes. the 2 significant sorts of optical imaginative and prescient structures present in nature are the only aperture human eye and the compound eye of bugs. The latter are one of the such a lot compact and smallest imaginative and prescient sensors. the attention is a compound of person lenses with their very own photoreceptor arrays. The visible approach of bugs lets them fly with a constrained intelligence and mind processing energy. A CMOS photograph sensor replicating the belief of imaginative and prescient in bugs is mentioned and designed during this e-book for commercial (machine imaginative and prescient) and clinical purposes.

The CMOS steel layer is used to create an embedded micro-polarizer capable of experience polarization info. This polarization info is proven to be invaluable in functions like actual time fabric type and self reliant agent navigation. extra the sensor is provided with in pixel analog and electronic stories which enable version of the dynamic variety and in-pixel binarization in actual time. The binary output of the pixel attempts to copy the flickering impression of the insect’s eye to notice smallest attainable movement according to the swap in nation. An built in counter counts the adjustments in states for every row to estimate the path of the movement. The chip contains an array of 128x128 pixels, it occupies a space of five x four mm2 and it's been designed and fabricated in an 180nm CMOS CIS method from UMC.

Show description

Read Online or Download A Biologically Inspired CMOS Image Sensor PDF

Similar graphics & visualization books

Knowledge Representation and Relation Nets

Wisdom illustration and Relation Nets introduces a clean method of wisdom illustration that may be used to prepare examine fabric in a handy, teachable and learnable shape. the strategy extends and formalizes notion mapping through constructing wisdom illustration as a constitution of techniques and the relationships between them.

Kernel Learning Algorithms for Face Recognition

Kernel studying Algorithms for Face attractiveness covers the framework of kernel dependent face reputation. This e-book discusses the complex kernel studying algorithms and its program on face acceptance. This publication additionally makes a speciality of the theoretical deviation, the process framework and experiments concerning kernel established face reputation.

Extra info for A Biologically Inspired CMOS Image Sensor

Example text

4 35 Artificial Compound Eye System aperture FOV/2 aD Į f Image plane Fig. 14 The FOV of the imaging system and the image size [8] aperture (NA) of an optical system characterizes the range over which light can enter into an imaging system. The numerical aperture determines the finest details that can be resolved by the optical system. A lens with larger numerical aperture will be able to visualize fine details than a lens with smaller numerical aperture. 21) The size of the lens affects the image formation and thus is very important.

The single aperture eyes have single lens, while compound eyes have multiple lenses. • Compound eyes are again classified into apposition eyes and superposition eyes. In apposition eyes each lens unit (ommatidium) acts as a separate eye, while in superposition light from different ommatidium are superimposed. Apposition eyes are well suited for diurnal animals while superposition eyes are most suited for nocturnal animals. • The ommatidia are all arranged on a curved surface giving the compound eyes a wide field of view.

17 Angle to position transformation: (a) Mapping of a sphere onto a square. (b) Angles phi (ϕ) and theta (θ) for the center directions of angles of incidence for the first nine channels. 2. Thus the contact angle will define the F-number of the micro-lens fabricated. The technological problem of mapping the spherical world onto the planar photodetector surface is solved by dividing the detector plane into 25 zones and an array of 5 x 5 micro-lenses covering all the zones. Each zone has a total FOV of near 25°, and capture the light from certain angles with a resolution of 1°, while there are 25 x 25 pixels under each micro-lens.

Download PDF sample

Rated 4.02 of 5 – based on 18 votes