Image Sensors as Fast As Possible

Techquickie ·Techquickie ·2015-05-07 · 1,183 words · ~5 min read
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0:00 whether it's snapping pictures of a new family member to share on social media
0:03 recording footage to upload for co-workers or just taking a selfie for
0:08 fun with the girls having a night on the town it cannot be disputed that digital
0:13 photography has become standard to our modern way of living and while we take
0:18 for granted that pretty much anyone can produce a phone that is spilling over
0:22 with pictures of small humans and animals they adore have you ever stopped
0:26 to think what makes all of this possible well even if you did the answer is image
0:31 sensors and thanks to them we are now able to capture high quality photos and
0:35 videos more directly into a digital format for easy usage instead of going
0:40 through the cumbersome extra steps that we did historically you see kids back in
0:45 the days of the ancient Pharaoh cameras used a specialized light sensitive
0:49 plastic substance to capture images projected onto it through a lens known
0:53 as F excuse me film you took a roll of it to the local chemist who developed it
0:58 and gave you physical pictures which if you wanted to upload to your geoc city
1:01 site needed to be scanned in a scanner now instead of using film to capture
1:05 images today's digital sensors work hard to artificially mimic the transduction
1:10 process of a biological eye in order to do all of this in a much more simple
1:16 fashion well sort of simple transduction simply defined is the conversion of one
1:20 energy form into another and whether this comes as a result of an organic or
1:25 mechanical means is actually completely irrelevant so in the human eye rod and
1:29 cone receptors work in combination with gangan cells to convert photons into an
1:34 electrochemical signal which the occipital lobe in your brain can then
1:38 process in the case of an image sensor though photons are captured as charged
1:43 electrons in Silicon and converted to a voltage value through the use of
1:47 capacitors and amplifiers then later transferred into digital code which can
1:51 be processed by a computer while there are many ways of going about this most
1:55 sensors operate in a similar manner to one another with the big difference that
2:00 them being the way in which they process stimuli of these many types there are
2:05 two more readily available in mature forms of sensors CCD and camos charge
2:11 coupled device sensors work by registering Photon rays in Silicon which
2:15 contains a grid array of pixels after electron charges are captured in this
2:20 pixel array they are then processed from the bottom to the top of the grid into a
2:24 Serial shift register and pushed out a single charge at a time to be converted
2:28 into an analog volt that is then transformed into coding by
2:32 way of an analog to digital converter since these sensors operate by
2:36 processing charges individually across the lines of an array this system
2:40 utilizes a respectable amount of power to function but this also gives it the
2:44 benefit of being extremely low noise due to the minimized use of voltage
2:48 amplifiers often making them better for particular types of Photography such as
2:53 aerial or space this of course brings us
2:56 to complimentary metal oxide semiconductors which are the type type
2:59 of image sensor most commonly found in consumer grade products as I stated
3:04 earlier most image sensors operate in a generally similar fashion so what makes
3:09 these different from the CCD sensors just described is that instead of
3:13 shuffling electron charges along an array to then be modified extra
3:17 circuitry has been added to each pixel which allows it to do more or less all
3:22 of the processing individually with the signal then being sent directly down the
3:26 line to the CPU since there's no grid lock to be managed in this operation the
3:31 power usage is actually reduced simultaneously with the added benefit of
3:35 an increase in processing speed now while both of these sensor types have
3:39 done well and continued to develop in their own sort of respective specialized
3:44 Fields that's not to say that there isn't any room for future improvements
3:48 though modern sensors have been wise in taking their inspiration from biology
3:52 the processors which reconstruct the coded images sent to them have a ways to
3:57 catch up if they want to uh give our
4:00 brains a run for their money I mean you see the current answer to improving
4:03 image quality in electronics is to increase pixel counts and fine-tune
4:08 photo sensor sensitivities when the fact is that the eye that we use to sit in
4:12 Judgment of all this stuff is correctly focused and a whopping 2% of our visual
4:16 field or about twice the size of your thumbnail at Arms Reach meaning our
4:20 brain is doing a lot of the work at picking up the slack but unless we want
4:25 to resort to carrying around Xerox machines with us whenever we wish to
4:29 share are important images then they'll just have to serve Us in the
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5:47 for sponsoring this episode as fast as possible thanks to you guys for watching
5:51 it like this video if you liked it dislike it if you thought it sucked and leave a comment if you have suggestions
5:54 for future fastest possible just like this one and as always don't forget to
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