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Applications of event‐based image sensors—Review and analysis

Abstract

The spread of event‐driven asynchronous vision sensors during the last years has increased significantly the industrial interest and the application scenarios for them. This article reviews the main fields of application that event‐based image sensors have found during the last 20 years. We focus in the description of applications where such devices can outperform conventional frame‐based sensors. The practical functions of the three main families of asynchronous event‐based sensors are analyzed. The article also studies what are the factors that increase nowadays the demand of sensors that minimize the power and bandwidth consumption. Moreover, the technological factors that have facilitated the development of asynchronous sensors are discussed.

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Applications of event‐based image sensors—Review and analysis

Author: Leñero Bardallo, Juan Antonio; Carmona Galán, Ricardo; Rodríguez Vázquez, Ángel Benito
Publisher: Wiley
Year: 2018
DOI: 10.1002/cta.2546
Source: https://idus.us.es/bitstreams/96a8ad3e-9983-4bf6-9ddf-c1a74c6900fc/download
Recei ed 26 Ap il 2018; Re ised 6 June 2018; Accep ed 6 July 2018
DOI: xxx/xxxx
RESEARCH ARTICLE
Applica ions o E en -based Image Senso s —Re iew and Analysis†
Juan A. Leñe o-Ba dallo* | Rica do Ca mona-Galán | Ángel Rod íguez-Vázquez
1Ins i u e o Mic oelec onics o Se ille
(IMSE-CNM), Consejo Supe io de
In es igaciones Cien í icas y Uni e sidad
de Se illa, C/ Amé ico Vespucio s/n,
41092, Se ille, Spain
Co espondence
*Juan A. Leñe o-Ba dallo. Email:
[email p o ec ed]
Summa y
The sp ead o e en -d i en asynch onous ision senso s du ing he las yea s has
inc eased signi ican ly he indus ial in e es and he applica ion scena ios o hem.
This a icle e iews he main ields o applica ion ha e en -based image senso s
ha e ound du ing he las wen y yea s. We ocus in he desc ip ion o applica ions
whe e such de ices can ou pe o m con en ional ame-based senso s. The p ac ical
unc ions o he h ee main amilies o asynch onous e en -based senso s a e ana-
lyzed. The a icle also s udies wha a e he ac o s ha inc ease nowadays he demand
o senso s ha minimize he powe and bandwid h consump ion. Mo eo e , he ech-
nological ac o s ha ha e acili a ed he de elopmen o asynch onous senso s a e
discussed.
KEYWORDS:
Image senso s, e en , spike, Add ess E en Rep esen a ion, AER, asynch onous
1 INTRODUCTION
Since Mahowald and he colleagues published in he ea ly nine ies he i s in eg a ed asynch onous bio-inspi ed ision sen-
so 1, he sp ead o e en -d i en de ices has g own signi ican ly2. Depending on he in o ma ion om he isual scene ha is
p ocessed, he e a e h ee main ca ego ies o e en -based (also known as e en -d i en o jus spiking) ision senso s. The i s ,
and he oldes g oup, co esponds o senso s ha de ec spa io- empo al con as wi hin he isual scene. In hei o igins, hey
we e bio-inspi ed senso s ha y o emula e he ea ly p ocessing o he isual scene ha is pe o med in he human e ina. The
second and he mos success ul ca ego y so a co esponds o Dynamic Vision Senso s (DVS). These a e de ices whose pix-
els spike whe he hey de ec ansien illumina ion changes. They can ack e y as mo ing objec s wi h e y low powe and
bandwid h da a consump ion. Finally, he hi d ca ego y co esponds o spiking luminance senso s, also known in he li e a u e
as oc opus e inas. Al hough hey jus pe o m a ligh - o- equency con e sion, hey p ese e he asynch onous communica ion
†This wo k was suppo ed in pa by he Spanish Minis y o Economy and Compe i i eness unde G an TEC2015-66878-C3-1-R, Co-Funded by ERDF-FEDER; in
pa by Jun a de Andalucía CEICE unde G an TIC 2012-2338 (SMARTCIS-3D); and in pa by ONR unde G an N000141410355 (HCELLVIS).
2JUAN A. LEÑERO-BARDALLO ET AL
based on spikes o encode he illumina ion le els. Only illumina ed pixels can send in o ma ion o -chip. Thei dynamic ange
and hei la ency a e qui e compe i i e. Thus, hey a e a ac i e o applica ions whe e is necessa y o de ec illumina ion le els
o ce ain egions wi h low esou ces consump ion.
Al hough he comme cial success o asynch onous ision senso s is s ill a away om ame-based senso s, he e a e se e al
companies like P ophesee o Inilabs dedica ed o he ab ica ion o e en -based came as. The ise o he demand o ision senso s
wi h low powe and bandwid h consump ion, and he capabili y o p ocessing he isual scene has pu spiking senso s in o he
scene. D one ision and au onomous ehicles p e e de ices wi h such ea u es ins ead ones ha p o ide high image quali y. Fo
hese easons, asynch onous image senso s ind accommoda ion and a e highly compe i i e in si ua ions whe e image quali y is
no a mus .
The e a e se e al e iews and compa isons be ween he di e en e en -based senso s published so a 2,3. Howe e , o he bes
o ou knowledge, s ill he e is no s ill published a e iew o he speci ic ields o applica ion whe e hey ha e been employed. In
his a icle, we will ocus on a desc ip ion o a he ields o applica ion whe e e en -based ision senso s ha e been success ully
accommoda ed. We will pay special a en ion o applica ions o he amily o spiking luminance senso s in which he au ho s
ha e made ele an con ibu ions du ing he las yea s.
2 SENSORS BASED ON SPATIAL CONTRAST DETECTION
Spa ial con as de ec ion is he e y i s -p ocessing o he isual scene pe o med by he human isual sys em4. I is imple-
men ed by he cells ha compound he e ina. Thei ou pu s a e ansmi ed as ain o spikes h ough he op ic ne e. The
de ec ion o spa io- empo al con as allows o de ec edges, and shapes. Tha is c ucial o an ea ly in e p e a ion and classi ica-
ion o he elemen s wi hin he scene. A i s ins ance, spiking senso s capable o compu ing spa ial con as on he ocal plane
pu sue o mimic a biological modelling o he human e ina4. The i s silicon e ina chip was p oposed by Mahowald,1. The
o iginal pixel opology is shown in Fig. 1 . Pixels de ec ligh wi h a pho o ecep o ci cui which ou pu is a ol age ha is a e -
aged wi hin a neighbo hood wi h a di usi e esis i e ne wo k ha in e connec s all he pixels. I he a e age illumina ion alue
in he neighbo hood, 𝑉𝑝𝑛𝑒𝑖𝑔ℎ𝑏. , di e s om he pixel’s local illumina ion alue, 𝑉𝑝𝑖,𝑗 , he pixel will spike, indica ing he de ec ion
o spa ial con as . These ci cui s, in he li e a u e, s ill hey a e known as silicon e inas due o hei biological inspi a ion. The e
a e imp o ed e sions o his p elimina y app oach5,6,7. This amily o senso s opened a ield o esea ch ha lead o ul e io
de elopmen o e en -based ision senso s. They also pu emphases in he de elopmen o asynch onous ci cui y o implemen
he well-known AER (Add ess E en Rep esen a ion) communica ion p o ocol8,1,9. Mode n a bi a ion schemes10,11 a e based
on he ea ly e sions implemen ed on he i s asynch onous bio-inspi ed ision senso s.
JUAN A. LEÑERO-BARDALLO ET AL 3
+
_
+
_
Pho o ecep o
Righ
Top
Bo om
Le
C
Pixel’s Ou pu
R
R
R
R
Vpi,j
Vpneighb.
___
Vpneighb.
___
FIGURE 1 Re ina con as de ec ion pixel acco ding o1. A e age illumina ion alues wi hin a pixel neighbo hood (𝑉𝑝𝑛𝑒𝑖𝑔ℎ𝑏. )
a e compu ed wi h a di usi e esis i e ne wo k. The a e age illumina ion alue in he neighbo hood (𝑉𝑝𝑛𝑒𝑖𝑔ℎ𝑏. ) is compa ed o
he local pixel illumina ion (𝑉𝑝𝑖,𝑗 ). I bo h alues di e , he pixel spikes, wi h a equency p opo ional o he spa ial con as
magni ude.
Once he possibili y o implemen ing hese senso s was demons a ed, he communi y d ew i s a en ion abou how o imp o e
he quali y o hei images. Pa icula ly, misma ch was an impo an challenge associa ed o he i s gene a ion o bio-inspi ed
senso s, ope a ing wi h ansis o s in sub h eshold egion. Se e al au ho s poin ed ou he need o educing pixel Fixed-Pa e n-
Noise (FPN) associa ed o ansis o misma ch. In ha sense, calib a ion p ocedu es and ci cui y obus o misma ch we e
de eloped12,7. Nowadays, he e en -d i en spa ial con as compu a ion is no highly compe i i e in e ms o spa ial noise agains
he adi ional me hod: ead-ou an en i e pixel ma ix illumina ion alues and p ocess hem on he digi al domain o de ec
edges and shapes. The main eason is ha asynch onous compu a ion o spa ial con as on he ocal plane equi es non-linea
ope a ions ha a e di icul o implemen p ecisely in he analog domain. Howe e , hey dese e o be men ioned in his su ey
because hey led o he de elopmen o o he amilies o asynch onous senso s whose applica ions will be desc ibed in he nex
sec ions.
4JUAN A. LEÑERO-BARDALLO ET AL
+
_
Cph
V
ese
+
_
+
_
-A
C
1
C
2
Rese
V
bo
V
op
OFF EVENT
ON EVENT
α log(I )
iph
= −C /C·(d /d )
di 1 2 i
FIGURE 2 A chi ec u e o a DVS senso . Ligh is de ec ed by a pho ologa i hmic ecep o wi h nega i e eedback and gain
−𝐴. I s ol age ou pu s eed a di e encing ci cui s ha ampli ies ansien ol age a ia ions a i s inpu , 𝑣𝑖. I he di e encing
ci cui ou pu , 𝑣𝑑𝑖𝑓𝑓 , exceeds a nega i e o a posi i e ol age h eshold, e en s a e ansmi ed indica ing empo al con as . The
sign o he empo al con as (posi i e o nega i e) is de ec ed wi h wo compa a o s and ansmi ed h ough wo independen
pa hways.
3 DVS SENSORS
The pixel’s a chi ec u e o a Dynamic Vision Senso (DVS) senso s is depic ed in Fig. 2 . Ligh is p ocessed by a loga i hmic
pho o ecep o . I s ou pu ol age, 𝑣𝑖, eds a di e encing ci cui ha compu es and ampli ies i s empo al de i a i e, 𝑣𝑑𝑖𝑓𝑓 . I he
ansien a ia ion o di e encing ol age exceeds a p og ammable h eshold (ei he posi i e o nega i e), and e en is sen o -
chip, indica ing a pixel’s illumina ion change, i s coo dina es, and he sign o he empo al con as . DVS senso s can de ec as
changes o illumina ion, wi h low powe and da a bandwid h consump ion. Mo emen de ec ion is ou pe o med o e ansi ional
p ocedu es, based on ame p ocessing. P oo o ha is he ac ha se e al companies like Inilabs o P ophesee ha e pu on
hei scope he de elopmen o hese amily o senso s.
The i s unc ional DVS senso was p esen ed by Lich s eine e al. in 200813. In his i s publica ion, he au ho s al eady
de ised possible applica ions o he senso , i.e. a ic moni o ing, gaming, sleep moni o ing, e c. In mo e ecen publica ions,
se e al au ho s p esen ed imp o ed e sions o he o iginal DVS senso 14,15,16,17.
Rega ding he applica ion ields o hese senso s, we can highligh he same examples:
1. Da ase s o implemen a ion and aining o spiking neu al ne wo ks o objec acking, ac ion ecogni ion and/o objec
ecogni ion. Spiking neu al ne wo ks needs o be ed wi h spiking inpu s. Images gene a ed wi h asynch onous image senso s
a e ideal o his pu pose. The sp ead and popula iza ion o DVS senso s among he communi y has d i en he c ea ion o
e en -based image da ase s eco ded wi h DVS senso s18,19.
JUAN A. LEÑERO-BARDALLO ET AL 5
2. T a ic moni o ing. The con ol o mo ing objec s is an ideal ask o DVS senso s. Only pixels ha de ec illumina ion
changes send da a o -chip, minimizing he bandwid h and he powe consump ion. The e a e speci ic pape s add essing his
opic, o ins ance,20. Also DVS senso s ha e been used o implemen p oximi y de ec o s,21.
3. Fall de ec o s. P ocessing he ou pu da a low o a DVS senso , he au ho s p opose a all de ec o 22. I was in ended o home-
ca e o elde people. In can be in eg a ed among he senso s o an in elligen house. Ges u e ecogni ion is also possible,23.
4. Robo ics in eg a ion, con ol and na iga ion24. The idea is o p o ide images o isual scenes wi h came as ha a e moun ed
on sys ems ha a e con inuously mo ing o obse ing a non-s a ic isual scene.
5. T acking and pa icles de ec ion on luids. The excellen empo al esolu ion o DVS senso s has made possible o ack as
mo emen s o pa icles in luids educing he da a h oughou 25.
6. Colo change de ec ion26. Combining he pixel a chi ec u e o a DVS senso wi h s acked pho odiodes a di e en dep hs in
s anda d silicon, i was possible o c ea e an image senso whose pixels only eac s o colo changes ( ansien shi s wi hin
he spec um).
7. S e eo ision27,28. The combina ion o wo o mo e DVS senso s eco ding images om di e en localiza ions allows de e -
mine dis ances and dep h, a e p ocessing hei ou pu s. The DVS senso educed ou pu da a low allows o alle ia e he
bandwid h and powe p ocessing consump ion wi h ega ds o classic ame-based p ocessing algo i hms.
4 SPIKING LUMINANCE SENSORS
In his pape , we will ocus on summa izing p ac ical applica ions whe e asynch onous spiking senso s ha e been employed.
These de ices, also known as oc opus e inas, pe o m a ligh - o- equency con e sion o encode luminance le els wi hin he
isualscene29.Thei ope a ion p inciple is depic ed in Fig. 3 .Pixelope a ionis ini ia edby ese ing he ol age a hein eg a ion
capaci ance, 𝐶. Then, i s ol age dec eases linea ly wi h a slope ha is p opo ional o he pixel’s pho ocu en un il i eaches a
p og ammable analog ol age, 𝑉𝑟𝑒𝑓 . The ea e , he pixel sel - ese s and s a s in eg a ing cha ge again. The pixel’s oscilla ion
pe iod is app oxima ely gi en by his exp ession:
𝑓𝑜𝑠𝑐 ≈𝐼𝑝ℎ
𝐶⋅(𝑉𝐷𝐷 −𝑉𝑟𝑒𝑓 )=𝐼𝑝ℎ
𝐶⋅Δ𝑉(1)
Whe e 𝐼𝑝ℎ is he pixel pho ocu en and 𝐶is he in eg a ion capaci ance. 𝑉𝑟𝑒𝑓 is a ol age h eshold o con ol he pixel
sensi i i y o ligh . Al hough hese senso s do no implemen any kind o p ocessing, jus measu ing luminance le els, hey
ha e inhe en ad an ages o e con en ional ame-based image senso s. The i s one is speed; pixel spiking equency can

6JUAN A. LEÑERO-BARDALLO ET AL
c
V ( )
spike 1 spike 2 spike 3
M1
D1
Iph
V
c
V
c
V e
V e
V
DD
-I /C
ph
+
_
C
VDD
spike
VDD
V e
_ eq_x
ese _x
_ eq_y
_ack_y
ese _y
AER
Communica ion
Ci cui y
∆V
FIGURE 3 In eg a e-and- i e (I&F) pixel block diag am. Pixels spike wi h a equency p opo ional o ligh in ensi y. E e y
ime ha his occu s, pixels’ add esses a e ansmi ed asynch onously o -chip. Asynch onous digi al signals in ol ed in he
da a ansmission a e displayed on he igh .
easily each KHz a es in indoo en i onmen s30,29. This implies an equi alen empo al esolu ion in he o de o Kilo- ames
pe second. The second ad an age is hei au onomous ope a ion. Pixels ha e no o be scanned pe iodically o gauge hei
illumina ion alues. They pulse con inuously whene e hey a e illumina ed. I hey a e da k, hey do no send any da a. Tha is
also an ad an age o applica ion scena ios whe e da k pixels a e meaningless. Ano he s eng h o hem is hei High Dynamic
Range (HDR) ope a ion. Pixel spiking equencies can spam mo e han i e decades31,29. This implies he capaci y o de ec ing
in a-scene illumina ion le els wi h a dynamic ange highe han 100dB. Also, hei powe consump ion is educed wi h espec
ame-based senso s.
Thei main penal y is image quali y. FPN noise is ypically highe wi h hese senso s30,31. Howe e , he e many applica ions
ha can sac i ice image quali y in bene i o speed, HDR ope a ion, and low powe consump ion. We summa ize and explain
some o hem in he nex subsec ions.
4.1 Sun Senso s
Sun senso s de ec he sun posi ion (azimu h and la i ude) e e ed o hei cen oid. They a e demanded o g een ene gy p o-
duc ion in sola plan s and o de elop na iga ion sys ems o spacec a s and sounding ocke s, ha ake he sun as a e e ence
o o ien a ion. The e a e wo main classic amilies o sun senso s: analog33 and digi al34,35. Analog ones a e mo e simple and
JUAN A. LEÑERO-BARDALLO ET AL 7
θ
x
y
FD
D
T
Pixel Ma ix
Lid & Pinhole
Rmax
φ
(a) (b)
10010110210 310 4
Deg ees (º)
72.5
72.6
72.7
72.8
72.9
La i ude (θ)
E o (º)
0
0.1
0.2
0.3
0.4
θ (º)
E o (º)
Numbe o Spikes (N )
10010110210 310 4
Deg ees (º)
34
34.5
35
35.5
36
36.5
Azimu h (φ )
E o (º)
0
0.5
1
1.5
2
2.5
φ (º)
E o (º)
Ν =1
spikes
Ν =1
spikes
spikes
(c)
FIGURE 4 (a) Ope a ion o a sun senso 32 buil wi h a pinhole lens. (b) Snapsho o an asynch onous sun senso implemen ed
wi h a pinhole lens. (c) Senso ’s ou pu da a. The sun posi ion is calcula ed compu ing he cen oid o a ce ain numbe o
incoming e en s. Wi h only one e en , i is possible o gauge he sun posi ion wi h an e o lowe han 2.2%.
easy o design, bu hey a e mo e p one o noise and sensi i e o scene dis ac o s. Digi al ones a e he mos ex ended ones nowa-
days. They a e eliable and easy o build. Deploying a dedica ed op ics on op o a ame-based senso , i is possible o con e
i in o a sun senso . Depending on he sun posi ion, a g oup o pixels will be illumina ed. I s cen oid will depend on he sun
localiza ion. By p ocessing he ou pu da a, he cen oid is calcula ed. Then, es ablishing basic igonome ic ela ions, he sun
posi ion can be de e mined.
The main limi a ions o his app oach a e he da a edundancy and he limi ed ope a ion speed. Da a edundancy is an impo -
an d awback because da k pixels needs o be eadou and a e useless o compu e he sun posi ion. This also d i es o high
bandwid h and powe consump ion de i ed o he da a eadou and he da a p ocessing. The second limi a ion is he ope a ion
speed. Since he en i e pixel ma ix has o be eadou , e e y ime ha he sun posi ion has o be upda ed, he ope a ion speed is
condi ioned by he ame a e. Se e al au ho s ha e p oposed s a egies o a oid eading da k pixels34. Howe e , s ill some o
hem ha e o be eadou pe iodically.
A ecen al e na i e o build digi al sun senso s is he usage o oc opus e inas36,32. By placing a dedica ed op ic o e hem,
only pixels exposed o sunligh will send da a. The e o e, da a edundancy is a oided, simpli ying he da a p ocessing, he senso
ope a ion and educing powe consump ion. Mo eo e , he excellen empo al esolu ion o oc opus e inas make hese de ices
sui able o space na iga ion. In Fig. 4 .a, we display he a chi ec u e o a spiking sun senso wi h a pinhole lens on op o i .
In Fig. 4 .b, he ab ica ed spiking sun senso is displayed. Da a eco ded wi h he senso is p o ided in Fig. 4 .c. The cen oid
compu a ion o he illumina ed egion is as and simple. Jus compu ing he cen oid o he pixels ha i es, i is possible o do
ha . The ope a o has eedom o decide how many spikes a e employed o compu e i . Usually he cen oid is close o he highes
8JUAN A. LEÑERO-BARDALLO ET AL
20 40 60 80
20
40
60
80
100
120
0
500
1000
1500
2000
2500
3000
3500
4000
4500
Seconda y
Combus ion
zone
In e zonal
Region
P ima y
Combus ion
Zone
Rela i e NIR le els
4 5 6 7 8 9 10
Time (s)
100
150
200
250
300
Rela i e Ene gy in he NIR band
T ansien Va ia ions o NIR ene gy in he Scene
-100 -80 -60 -40 -20 0 20 40 60 80 100
F equency (Hz)
40
50
60
70
80
90
|X(jw)| (dB)
(a) (b)
FIGURE 5 Flames moni o ing wi h an asynch onous NIR spiking senso 38,39. (a) Snapsho o a lame aken wi h a luminance
asynch onous senso wi h an op ical NIR il e . (b) Top: T ansien NIR le els a ia ions de ec ed wi h he senso in a isual
scene wi h a lame. Bo om: FFT o he p e ious da a o s udy he lame equency componen s.
illumina ed pixel ha spikes i s han he o he s. Thus, jus aking in o accoun i s coo dina es, i is possible o gauge he sun
posi ion wi h accep able p ecision. In e ms o dynamic ange, spiking senso s allow o encode he illumina ion le els wi hou
sa u a ing. Usually, ame-based senso s dynamic ange is limi ed o 70dB37, ha is no enough o de ec illumina ion le els
inside e y b igh ligh sou ces like he sun ha equi e senso s wi h mo e han 100dB dynamic ange o be cha ac e ized37.
4.2 Flame moni o ing
Asynch onous spiking senso s can be used in he de ec ion and he analysis o lames ac i i y,38,39. Flame licke ing and lame
emissions ha e o be moni o ed in some indus ial p ocesses40,41. These asks we e implemen ed, a i s ins ance, wi h in a ed
(IR) came as o mic obolome e s. Thei main limi a ions a e he high cos , he limi ed ame a e, he need o calib a ion in
some cases, and hei agili y42.
As al e na i e o hem, CMOS o CCD came as wo king in he Nea In a ed Band (NIR) ha e been employed. By placing
a NIR il e o e hem, he become NIR image s. Radia ion inside his band is emi ed by lames. Hence, wi h adequa e image
p ocessing, lames ac i i y can be moni o ed43,44,45. Flames licke wi h equency componen s ha ange be ween DC and
100Hz40. Thus, he analysis o hei ansien ac i i y equi es senso s wi h good empo al esolu ion. This equi emen also
JUAN A. LEÑERO-BARDALLO ET AL 9
P-
N-
P-
N+
I&F
I&F
I&F
IB
IGB
IRG
RB
GRGB
(a) (b)
FIGURE 6 Asynch onous colo senso implemen a ion,46. (a) S acked pho odiodes o achie e spec al selec i i y wi hin he
isible spec um. Each one is connec ed o in eg a e-and- i e (I&F) block as he one depic ed in Fig. 4 . (b) Inpu s imulus and
colo images ende ed wi h an asynch onous senso implemen ed wi h he p oposed pixel a chi ec u e.
implies ha , ope a ing wi h a ame-based came a, he amoun o da a o be p ocessed is be e y high, limi ing he da a analysis
o o -line ope a ion40.
Recen ly, he au ho s ad anced how oc opus e inas can used o moni o lame ac i i y,39. The excellen empo al esolu ion
o hese senso s can be exploi ed o ack hei ansien ac i i y e icien ly. Fil e ing he adia ion below he NIR band, he ou pu
da a is limi ed o he egions exposed o NIR adia ion. Hence, hei ou pu da a low can be p ocessed eal- ime39, ou pe o ming
he ope a ion ob ained wi h classic NIR image s40. In Fig. 5 .a, a snapsho o a lame aken wi h an oc opus asynch onous senso
ab ica ed in s anda d CMOS echnology is displayed. An op ical il e was placed o e he senso o emo e he adia ion ou side
he NIR band. Resul s a e alike he ones ha can be ob ained wi h a comme cial in a ed came a. I is possible o iden i y he
main egions inside he lame. On he op o he igh plo in Fig. 5 .b, we ha e plo ed he ansien NIR le els de ec ed by he
senso in a isual scene wi h lames. Flames p o oke as a ia ions o he NIR le els. On he bo om o he same plo , he Fas
Fou ie T ans o m (FFT) o he p e ious da a is displayed. Main equency componen s ange om DC o 30Hz, o his lame.
4.3 High speed colo de ec ion wi h s acked pho odiodes
Cu en ly, s anda d CMOS echnologies o e he possibili y o inco po a ing a deep n-well o a deep p-well o he chip design.
These laye s allow o s ack pho odiodes a di e en dep hs, placing a deep n-well benea h an n-well, as i is depic ed in Fig.
6 .a. S acked pho odiodes ha e di e en sensi i i y o ligh wa eleng h, depending on hei dep h47,48. Hence, simila spec al
disc imina ion can be achie ed han employing adi ional me hods wi h disc e e op ical il e s. In his p e ious wo k46, he e
diodes we e s acked o encode colo a high speed. In Fig. 6 .a, he e is a ske ch o he colo pixels. Each one is connec ed o an
in eg a e-and- i e (I&F) module wi h he same a chi ec u e han an oc opus senso as he one shown in Fig. 3 . P ocessing he
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TABLE 1 Compa a i e be ween di e en spiking senso amilies
Type o senso /
Func ionali y
Au ho / Yea
/ Key i s
implemen a ion
Key pa ame e s Key applica ions
Spa ial con as
de ec ion
Mahowald 1991,1Spa ial con as sensi i -
i y
Bio-inspi ed modelling, applica ions wi h
educed ou pu da a low, su eillance, ea ly
scene in e p e a ion
DVS senso s Lich s eine
2008,13
Tempo al con as sen-
si i i y
Da ase s o spiking neu al ne wo ks, a -
ic moni o ing, obo ic in eg a ion, domo ic
sys ems, s e eo ision
Oc opus senso s Culu ciello 2003,29 Dynamic ange and
la ency
Ligh - o- equency con e sion, sun senso s,
lame moni o ing, as colo encoding
Hyb id senso s Se e al au ho s
2010,16,14,30
Dynamic ange, la ency,
powe consump ion,
spa io- empo al con as
de ec ion
Combina ions o ea u es om di e en
senso s amilies, HDR image s, mo ion
de ec ion