Na-ejik? ihe AI ??na-am?ta na igwefoto nchedo: Nt?le zuru oke
Mkpuchi nchekwa nke oge a na AI - Enwere ike ?me cameras na-aga n'ihu na-emek? ihe. Site na ip?t? d? omimi - ma na -ad? igwefoto ("Edide AI") N'okpuru ebe a b? ndakp? zuru oke, na nk?wa nlele, nke otu esi eme ihe na-ar? ?r? na ihe kpatara o ji d? mkpa.
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Onyunyo ai na-esote pipeline a haziri ahazi:
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Ntinye vidiyo: D? elu - Mkpebi Igwefoto sitere na IP / PTZ eses.
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Prega - nhazi: Mp?, resizili ya.
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Nt?ghar?: Nch?p?ta ihe & nhazi ozi site na CNNS (E.G., YOLOV7, ngwa ngwa r -.
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Post - Nhazi: ?gb? A Na-eme At?mat?, Ntinye Aka?nt? Metadata.
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Ihe: Push Reaviations, Ndek? Clips, na-akpata nnweta - Usoro nch?kwa.
2.
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Edge AI:
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Ntinye na - igwefoto ma ? b? na - Ogige NVR / DVR.
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Uru: Ultra - latency, bebelata, ar? ?r? na-an?gh? n'?ntanet?.
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Cons: Ihe d? oke egwu d? egwu, ?n?ah?a ngwaike.
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Igwe ojii AI:
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A na-ezigara iyi na-ezigara nd? na-eme ihe ?t?.
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Uru: Modelsd? nd? ?z? d? elu, mmelite etiti.
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Cons: Athercy, na nchebara echiche nzuzo, ?gw? netw?k na-aga n'ihu.
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Ngwak?: nch?p?ta d? oke mkpa na ns?t?; nyocha miri emi na igwe ojii.
3. Nch?ta onyinye
| ?d? ihe | Tekn?z? Key | Mmet?ta nchekwa |
|---|---|---|
| Mmadu | Modench?p?ta onye na-ach?p?ta ihe (e.G., mepere) | Itinye uche; na-ebelata mkpu ?gha site na ab?gh? ?m? mmad? - |
| Ihu | Nch?p?ta ihu na agbakwunye (Faidenet) | Njikwa nnweta; Lelee - Detuo otu |
| Ugbo | Otutu - Klas nke klaas? + lpr (Akw?kw? ikike - Ntanet? | Nnyocha okporo ?z? / nd? na-enyocha; Enwegh? ikike - Nch?kwa ?gb?ala |
| ?gb? mmiri / ?gb? elu / drone | Nd? nch?p?ta p?r? iche z?r? na mmiri / Aro datasets | ?d? ?gb? mmiri na nchekwa ikuku; Mba - FLAVE - Ibinye Mpaghara |
| Anu ohia | An? ?h?a / an? ?l? | Nchedo nchedo; Ewu - Mkpuchi Mkpu |
4. Ngwa d? irè & jiri ikpe ikpe
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Ihe Nchebe
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Nch?p?ta efu, ihe mgbat? njem, na-enwegh? ikike - mkpu ntinye.
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Njikwa Nch?ta
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Ihu - egwuregwu megide onye ?r? ma ? b? site na ?d? data. Ndenye ederede.
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Nchebe okporo ?z? & ?d? ?gb? mmiri
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G?ta ?gb? ala, LPR maka tools ma ? b? machibidoro - Akw?kw? mmanye mpaghara; vessel nsuso.
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Mpaghara ?d? ?gb? elu & d? oke mkpa
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Nch?p?ta Drone Inction; permeter patrot augmentation.
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Ihe nlebara anya na ebe obibi
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Ng?k?ta mmeghar? an? ?l?; Anti - pooching na-akwado nkwado.
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Searsensic
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AI - Emere ihe omume na-enyere aka "Ch?ta ihe niile na ?gb? mmiri na dock # 3".
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5. Az?maah?a
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Ogo ahia 2024: ~ US $ 6.5 na onyunyo vidiyo.
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Ijedebe 2030: US $ 28.8 ijeri (CRGR ~ 30.6%)
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Nd? ?kw? ?gb?ala g?nyere obodo nd? maara smart, nchekwa njem, nyocha a na-ere ah?a, na nchekwa an? ?h?a.
6. ?r?, echiche nzuzo & ar?m?r?
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Nzuzo: Mbepu vidiyo raw; N'elu - Ngwa?r? na - eme nch?p?ta (na - acha uhie uhie na - enwegh? at? -.
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IIAS MIT: ?z?z? na Dasats d?gas? iche iji zere ihe nd? mmad? na-eme ihe.
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Usoro iwu: GDP, CCPA, nke na-ap?ta na-ach?k?ta ?ch?ch? AI.
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Nchebe: Na-ah? maka ?d? AI onwe ha b? tamper - na-eguzogide.
7. Usoro ?d?nihu ?d?nihu
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?m?m? ihe na-aga n'ihu na ns?t?: kamera nke na-at?ghar? na data mpaghara (mm?ta d? af?).
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Otutu - Finding Find: Ijik?ta RGB Video na Thermal, Lida, Audio maka nch?p?ta siri ike.
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?n?d? AI: ?d? nd? gh?ta omume (d?ka, "aka - bulie" ngwa agha - d? njikere ").
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Lightweight p?r? iche iche iche: nd? nch?p?ta kachas? maka ngalaba (ar?a mmiri, ?d? avian).
Nchikota
Site na itinye aka na di omimi - ?m? pipelaines na ngwanr? na ngwanr?, na-ach?p?ta ihe iyi egwu na-enwegh? ikike - na ezigbo okwu - Ah?a ah? d? ngwa ngwa maka uto ngwa ngwa, na-ebughar? site na mm?ba nke ?n?, ?t?t? - Sensor AI, na nke ?r? ala.
Nt?ala nzuzo