Ndaba zuru ezu nke ihu - njedebe na az? - na-ejedebe ?g?g? isi na algorithms algorithms na sistem? onyunyo
1. FAMPE - NKWUPUTA EGO
Oseihe nwokeIhu - ?gw?gw?Algorithms na-ar? ?r? ozugbo n'ime ngalaba igwefoto?n? na-agbak?ike. Ebumnuche algorithms nd? aUsoro data ihe omimi, si otú a belata bandwidth na ibu ihe nkesa site na ?he ?r? mbido ?r? na ?kwa igwefoto. Ka any? nyochaa isi ihe nd? d? mkpa:
a. Ngwa?r? igwefoto na ntinye uche
Camerailganiciame nke oge a na-etinye ?t?t? ?d? sens?:
- Ihe nlereanya onyonyo (CMOS, CCD): Weghara data visual (onyonyo na vidiyo) n'okpuru ?n?d? ?k? d? iche iche.
- Infrared (IR): Kwado igwefoto iji weghara vidiyo na ?ch?ch?r? ma ? b? ?ch?ch?r? zuru oke.
- Lidar na Omimi: T?? anya d? anya ma ch?p?ta ihe na oghere 3D, bara uru maka ?mata ihe d? n'etiti ihe d? iche iche.
- Mixhones: Mgbe ?f?d? enwere ike ?gbakwunye maka Audio - nke nyocha.
Ihe mmet?ta nd? a na-eziga data d? mma na ngalaba nhazi, ebe algorithms d? kaoyiyi pre - Nhazietinyere.
b. Image tupu nhazi na mbelata mkp?t?
Tupu itinye nyocha ? b?la siri ike,oyiyi pre - Nhazid? oke mkpa iji mee ka ogo nke ?da ah?, ?kachas? n'okpuru ?n?d? ?k? na-ad?gh? mma ma ? b? gburugburu ihe)
- G?na Algorithms: Wep? senor mkp?t?, na-eji nzacha d? kaGaussian blur or na-ab?gh? - mpaghara p?tara na-agbag?.
- ?d?iche na ndozi na-enwu: Algorithms d? kaEzubere ihe nlere anyaGhazie nchap?ta na iche na visibiliti.
- Nch?p?ta ?n?: Nch?p?ta ?n? (E.G.,Onye ?r? Sobel, Cender Edide Nch?p?ta) Nwere ike inye aka k?waa ókèala, nke d? oke mkpa maka ?z? nsuso.
c. Nch?p?ta ngaghar? na nz?lite ndabere
Nch?p?ta ngaghar?b? otu n'ime ?r? d? mkpa na-eme n'ihu # - njedebe algorithms. ? na-esite na ?kp?r? nke ?t? at?nyere ihe ?ga nke ?ma iji ch?p?ta ihe na-akpali akpali.
- Ndabere nz?lite: Usoro ebe algorithm weghaara n 'oblicts prontact nlereanya si ugbu a. Mgbanwe ? b?la d? oke mkpa.
- Etiti ?d?iche: Oge d? mfe mgbe algorithm na-agbak? ?d?iche d? n'etiti okpokolo agba, mpaghara ?k?l?t? ebe mgbanwe mere.
- Feedical Ride: A na-enyocha usoro na-eme nyocha nke na-emeghar? ngwak? pixel n'ofe okpokolo agba iji ch?p?ta ngaghar?, a na-ejikar? yaKalman nzachamaka nsuso.
d. Nyocha ihe na nsuso
Na ihu - gw??, nch?p?ta ihe na nsuso a na-eme n'obodo iji ch?p?ta ma soro ihe (E.G., ugbo ala, an?man?). Isi usoro g?nyere:
- YOLO (? na-ele anya otu ugboro): ?n?d? - nke - Art Algorithm nwere ike ?ch?p?ta ?t?t? ihe na ezigbo okwu - oge. YOLO na-ekewa foto ah? n'ime okporo ma na-ebu am?ma igbe maka ihe ? b?la na grid.
- Haar Cascadesite: Ejiri maka ihe nlere anya na-ad?gh? mma, d? ka nch?ta ihu, dabere na pre - z?r? az?.
- Nyochaa Kalman: Eji yaigwu egwuihe nd? na-akp? akp? gafere okpomoku. ? na - eme at?mat? ?n?d? nke ihe na - akp? akp? (?n?d?, ?s? ?s?) ma buru am?ma ?n?d? ?d?nihu ya.
e. Nch?p?ta onye nyocha na ihe omume na-akpata
Nch?p?ta Nwa At?r? ah? n'ihu - z?r? na-elekwas? anya na ?ch?p?ta ihe na-ad?gh? ah?kebe na ndep?ta vidiyo:
- Mmeghar? mberede: ?ch?p?ta mmeghari ngwa ngwa ma ? b? nke a na-at?gh? anya ya, d? ka mmad? na-agba ma ? b? usoro ìgwè mmad?.
- Cross - Nch?p?ta ah?r?: Na-eji trivialires mebere ma ? b? ah?r? na-akpalite ma ? b?r? na ihe ga-agafe ha.
- Odide ntinye: Ch?p?ta ma ? b?r? na ihe batara ma ? b? wep? ebe a kara aka na etiti ah?.
Allorithms nd? a nwere ike ?kpalite ezigbo - oge makaazu - njedebeSistem ma ? b? zigara nd? ?r? nchekwa ozugbo.
2. Az? - ngw?cha Algorithm
Oseihe nwokeazu - njedebeSistem? na-ah? maka ibuli elu, na-ejikwa nyocha data siri ike ma na-echekwa nnukwu mp?ak?ta data. ? na - ar? ?r? site na ?nweta iyi ma ? b? metadata site na ihu - igwefoto na - eme ka nyocha d? elu, na - eji usoro mm?ta AI na igwe. Nke a b? ndakp? nke?r? Nd? D? IcheA na-eme nke az? - njedebe algorithms:
a. Mgbasa ozi vidiyo na nnyefe data
- Nch?k?ta data: Kamera na-ebufe data video na az? - njedebe site na njik? internetntanet?, netw??k? mpaghara (lans), ma ? b? ?r? igwe ojii.
- Mkparita uka: Iji belata bandwidth ojiji, a na-ah?kar? iyi vidiyo na-eji ?kp?r? d? kaH.264 or H.265, nke na-echedo ogo vidiyo mgbe ? na-ebelata nha fa?l?.
b. Nyocha vidiyo na mm?ta miri emi
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Nch?p?ta ihe: Az? - njedebe na-eji ?d? mm?ta d? kaYolo, Ngwa ngwa r - CNN, ma ? b?Sos(Otu egbe egbe na-ach?p?ta ihe) maka nyocha ziri ezi na nhazi ziri ezi. A na-az? ?d? nd? a na nnukwu dataSets iji mata ?t?t? ihe d?ka nd? mmad?, ?gb?, an?man?, wdg.
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Nkwado ihu: Maka nkwenye njirimara ma ? b? ihe onyunyo, a na-eji g? maka ?leli elu, na-ejikar? ?d? mm?ta d? ukwuuFai or Ndughari. Modelsd? nd? a t?nyere ihu na ihe nkiri vidiyo nke nd? a ma ama.
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Ude: Na mgbakwunye n'?ch?p?ta ihe, az? - ?gw?gw? nwekwara ike kee ihe ma ? b? omume n'ime vidiyo ah?. D?ka ?m?maat?, ?ch?p?ta ?g?, ihe na-enyo enyo, ma ? b? omume nd? ?z? ahaziri ijiRnns (ugboro ugboro network) or 3D cnns.
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Idi ihe omumu: Laghachi az? - na-eme ka omume ma ? b? omume ach?p?ta ihe omume bara uru (E.G. ach?p?tala "," mmad? na-ad?ba ?gb?ala ").
c. Metadata na Nch?p?ta
- Ke mkpado: A na-ejik? etiti ? b?la ma ? b? na vidiyo na metadata d? mkpa (d?ka ?m?maat?, oge, ?n?d?, ihe nd? amata, ihe omume).
- Itinye uche: A na-edep?ta data na data ihe omume iji nye ohere maka ?ch? ?r? nke ?ma. Iji tekn?z? d? kaElaticticsearch, ? na-ad? mfe ?ch? site na data vidiyo dabere na mkpado ma ? b? metadata.
Iji maa at?, inwere ike ?ch? "nd? mmad? ach?p?tala mpaghara amachibidoro site na 2 PM ruo 3 PM."
d. Nyocha omume na nch?p?ta AMAYAL
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Inwe Unkp?r?: Iji ?d? mm?ta ?r? na-am?ta site na nnukwu data nke ak?k? ak?k? ihe mere eme d? na gburugburu ebe a na-ah?kar? d? na gburugburu. Ihe nlereanya ah? mere ?k?l?t? n 'usoro.
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Mgbagwoju anya ihe omume: Azu - Laghachi na usoro njedebe nwere ike ?gbag? ?t?t? ihe omume ma ? b? iyi data (E.G., ijik?nch?p?ta ngaghar?naNkwado ihu). ? b?r? na ach?p?tara ?r? na-ad?gh? ah?kebe, sistem? ah? nwere ike iwep?ta nkwanye ugwu.
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Ogologo - nyocha oge: Ka oge na-aga, sistem? nwere ike soro usoro na usoro, na-enye ikike am?ma (E.G.
e. Igwe ojii na sluble
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Nchekwa igwe ojii: Data vidiyo, ?kachas? d? elu - Vidiyo d? na igwe ojii, na-enye ohere maka nchekwa na-enwegh? ihe ubi mpaghara.
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Nhazi CKOD AI: A na-eme nhazi ?f?d? n'igwe ojii iji mee ihe ngwaike siri ike (E.G., GPU maka ?r? mm?ta miri emi). A nwekwara ike iji igwe ojii na-az? ?d? maka nnukwu datasets.
3. Ndep?ta Ngwa
Site na ike d? elu nke ihu - njedebe na az? - na-eji ?g?g? isi algorithms, a na-eji ugbu a sistem? nyocha na ngwa d? iche iche:
a. Uru obodo obodo
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Nlekota okporo uzo: Kameras nwere ike nyochaa ihe ?gh?m okporo ?z?, ihe ?gh?m, na ?gb? ala nd? na-eme ihe d? ka ?k? ma ? b? ?k? na-acha ?bara ?bara ma ? b? na-agba ?k?.
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Ndi mmadu: Kamera nwere nd? mmad? na-ag? na omume nyocha omume algorithms na-enyere aka jikwaa mmeghar? igwe, na-ejide nchekwa na oghere ?ha.
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Nchekwa ?ha: Kamera nwere ike ?ch?p?ta omume p?r? iche (E.G., ?g? ma ? b? nd? ?ch?ch? ozugbo) na-ah? anya.
b. Nch?p?ta ?l? ah?a maka Mgbochi Nch?p?ta ohi na ngh?ta nd? ah?a
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Mgbochi Igwe: AI Algorithms ach?p?ta omume na-enyo enyo d? ka nt?t? nt?t? ma ? b? usoro na-ad?gh? ah?kebe na mmeghar? nd? na-ere ah?a.
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Nch?k?ta nd? ah?a: Nd? na-ere ah?a nwere ike iji igwefoto iji soro ?gb? elu na-aga, nyochaa ogologo oge ole nd? ah?a na-etinye na ngalaba, na ebule ?l? ah?a na-adabere n'?z? okporo ?z?.
c. Ah?ike Ah?ike na nchekwa ?l? ?gw?
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Nlekota oru oria: N'?l? ?gw?, kamera nwere ?g?g? isi nwere ike ?lek?ta mmeghar? nd? ?r?a iji ch?p?ta ?d?da, ma ? b? nd? ?r?a na-ata ah?h?.
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Nchekwa nd? ?r?: Nd? ?r? nchekwa nwere ike ?nweta nn?k? ma ? b? na omume na-eme ihe ike ma ? b? ?nweta nd? ?r? na-enwegh? ikike.
d. Nchebe ak?r?ngwa d? oke mkpa
- D? elu - ebe nchekwa: Systems Systems na-echebe d? elu - Ulo ihe d? ka data data, a na-ejikar? algorithms maka njikwa nnweta, ihu na nch?p?ta ihu, na nch?p?ta ihu.
e. Home Nche
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Nch?p?ta Incwer: Na nchekwa ?l?, kamera nwere ikike ihu na ngaghar? na-emeghar? algorithms nwere ike ?mata nd? na-etinye uche, ma nwekwaa ?l? ?r?, na mkpu na-akpali akpali.
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Mgbochi Nchekwa: Kamera nwere ike ?ch?p?ta ihe omume na-enyo enyo na izu ohi na-agwa nd? obodo.
Mmechi
Mmekorita nkeAh?h?a algorithmsna maIhu - ?gw?gw?naazu - njedebena-agbanwe ala ubiikenkwucha. Site na nnweta data mb? na nch?p?ta ihe omume nke igwefoto na ?kwa igwefoto d? elu na ihe nkesa - Ak?k? nd? a na-enye ngw?ta zuru oke maka ?r? d? iche iche maka ?l? ?r? d? iche iche. D? ka mm?ta AI na igwe na-aga n'ihu na-aga n'ihu, usoro nd? a ga-ad? ike kar?, na-enye nchebe d? elu, na ikike nchekwa nke nwere ike igbochi ihe egwu tupu ha am?ba.