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Idea

Artificial vision systems are just as essential in autonomous technologies. Imagine a camera that can click exactly what we see, we might need an actual human eye to create that experience.

Biometric in nature - mechanical specifics aside, the real innovation of the camera is that it will not only react to eye movements, but instead develop a relationship with its user over time. When a user picks up the camera, it scans his iris and can immediately determine his identity as long as he's registered his biometric data in the camera's software. Once it recognizes the user, the camera automatically pulls down a series of previously created preferences. It would recognize and immediately set the diopter so we can see clearly. Some people might like a certain aesthetic to their photos — like a low depth of field for example — so the camera would set the aperture accordingly. Biometric recognition to identify the subjects in the pictures. To participate these subjects would need to provide their consent and biometric information, which would be stored on a server.

Early blocking and research

I came up with a way to implement the features of an human eye, but more mechanically functioning.

x

Maya & Arnold // With some more subtle details and paneling. Probably calling this done after a couple more updates.

Research 

Inspiration - Marc Teyssier - Postdoctoral Researcher in Human-Computer Interaction

Functionality

Embedding light-sensitive receptors directly into the surface of a 3D sphere creating sensitivity much closer to that of biological human eye.
The domed shape of the retina has the merit of reducing the complexity of optical systems by directly compensating the aberration from the curved focal plane.
Photo-sensitive nanowires in the aluminum membrane of their artificial retina.
Human eyes use a single lens and the rounded shape of the eyeball to focus incoming light into crisp images.
Artificial retina by having light-sensitive nanowires built directly in the pores of a hemispherical aluminum oxide membrane. Between this artificial retina, which made up the "back" of the eyeball, and the symmetrical dome and lens that completed the front half of the eyeball, is filled with gel-like ionic liquid that give power to the nanowires in the retina.
This fluid is analogous to the squishy vitreous humor floating around in our eyes.
A human user of the artificial eye will gain night vision capability.
This could be especially important for robots, or even as prosthetics. Sharper eyesight could have any number of valuable uses—search and rescue, security, even niche fields like sports analysis.

Electrochemical eye with a hemispherical retina made of a high-density array of nanowires mimicking the photoreceptors on a human retina. The device design has a high degree of structural similarity to a human eye with the potential to achieve high imaging resolution when individual nanowires are electrically addressed. 
Demonstrate the image-sensing function of our biomimetic device by reconstructing the optical patterns projected onto the device. This work may lead to biomimetic photo sensing devices that could find use in a wide spectrum of technological applications.
Eye-tracking technology and biometric detection to provide an impressively frictionless device for taking photos.


Parts

// Free floating pixels that assembles itself
// Circuit board
// Radio frequency micro-transmitter
// Glass
// Gel Ionic liquid
// Battery
// Processor
// Gyro Sensor - gyroscope enhanced stabilization
// Magnetic charger
// Bottom Lid
// Tripod Connector


Scale - 2.5"


Features

WiFi - allow live previews on your phone and enable your friends and family to beam in and look around – with independent control over where they look.
Stereoscopic 3D View
Optical Stabilizing
Scratch Proof
Water Proof
Unlimited Storage
(because, why not)


Eye vs Camera

The human eye is a wonderful instrument, relying on refraction and lenses to form images. It is like the greatest, quickest automatic camera in existence.

A diaphragm to control the amount of light that gets through to the lens. This is the shutter in a camera, and the pupil, at the center of the iris, in the human eye.

A lens to focus the light and create an image. The image is real and inverted.
In a camera, film is used to record the image. In the eye, the image is focused on the retina, and a system of rods and cones is the front end of an image-processing system that converts the image to electrical impulses and sends the information along the optic nerve to the brain.
The way the eye focuses light is interesting, because most of the refraction that takes place is not done by the lens itself, but by the aqueous humor, a liquid on top of the lens. Light is refracted when it comes into the eye by this liquid, refracted a little more by the lens, and then a bit more by the vitreous humor, the jelly-like substance that fills the space between the lens and the retina.
The lens is critical in forming a sharp image, however, this is one of the most amazing features of the human eye, that it can adjust so quickly when focusing objects at different distances. This process of adjustment is known as accommodation. 
Eyes are much different than a camera on a lot of levels. For one, your eyes are rounded in the back and not flat like a camera sensor.
Eyes also add in information that is not always there.



Technical Similarities


Focal Length 
When we talk about focal length on a camera, we are literally talking about the distance from the optical center of the lens to the camera sensor. The same rule would apply in your eye. So, technically speaking, the average human eye would have a focal length of 17mm.
the average human eye has a field of view of about 180 degrees when facing forward. Using a simple angle of view calculator, the actual angle of view would equal that of a 1mm lens.


Crop Factor
With angle of view in mind, our 17mm eyeball has a focal equivalency of 1mm. So, theoretically, our eye has a negative crop factor of x.05 when compared to a full-frame camera. Needless to say, that technology does not exist in real life.

F-Stop
In an incredibly dark situation, an eye’s iris can expand to be about 8mm. So if we were to put that information into a formula with our focal length being the length of our eyes (about 17mm), we would get an actual f-stop of around f/2.1. That number is impressive, but certainly not earth-shattering.

Megapixels
It’s estimated that the average human eye can read up to 576MP of information at any given time, giving a whole new meaning to the term retina display. Unfortunately, modern day DSLRs can’t quite take pictures at that high of a megapixel yet. However, in astronomy, there is a camera that comes close at 570MP.

ISO
ISO relates to the amount of power sent to the camera’s sensor at any given time. However, when you’re talking about your eyes, you don’t really have the ability to increase your sensitivity much beyond that of ISO 1,000 on a camera.

Bit-Depth
It’s said that our eyes can perceive up to 10 million different colors. While that may seem like a lot, it is actually quite low in relation to what current cameras are capable of perceiving. Everyday, video cameras record color information at 8 bits-per-channel, but some cameras can record up to 14 bits per channel – that’s 4.4 trillion colors!

Dynamic range
Dynamic range has to do with your camera’s ability to process both extremely bright and extremely dark details at the same time. 

Shutter Speed
Your eyes don’t have a mechanical or radial shutter, so they are more like an electronic shutter camera. If you were to adjust the shutter speed on a camera to match that of the motion blur found in your eye, you will arrive at a shutter speed of around 1/100-1/200. 

FPS
Through research, scientists have been able to find out that humans can interpret information up to about 1,000fps. 


Source
https://nypost.com/2016/01/23/this-filmmaker-replaced-his-eyeball-with-a-camera/
https://www.premiumbeat.com/blog/if-the-human-eye-was-a-camera-how-much-would-it-cost/

Source - Google

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