
Ukuhlanganisa ukufunda okujulile kwe-AI namakhamera wokuhlola: ukubuka okuphelele
Ukuphepha kwanamuhla kuthembela ku- I-AI - I-Powered Surveillance Camera lokho kudlula ukuqoshwa kokuphawula. Ngokushukumisa ukujula - amamodeli okufunda-kungaba kwikhamera ("onqenqemeni lwe-AI") noma efwini - lezi zinhlelo zingakwazi khumbula Abantu, ubuso, izimoto (izimoto, izikebhe, izindiza, ama-drones) nezilwane zangempela - isikhathi. Ngezansi kokuqhekeka okuningiliziwe, okubonakalayo okuchazayo, ukuthi lokhu kusebenza kanjani futhi kungani kubalulekile.
1. Ukuphela - uku- - ukuphela kwepayipi lokubhekwa kwe-AI
Ukubhekwa kwe-AI kulandela ipayipi elihlelekile:
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Ukuthwebula ividiyo: Phezulu - Ukuxazulula izinsolo kusuka kumakhamera we-IP / PTZ.
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Pre - Iyacubungula: Ukukhishwa kohlaka, ukukhulisa kabusha, ukujwayelekile.
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Ukuphuna: Ukutholwa kwento nokuhlukaniswa nge-CNNS (E.G., Yolov7, ngokushesha R - CNN).
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Thumela - Iyacubungula: Ukulandela umkhondo, isizukulwane sokuqwashisa, ukugawulwa kweMetadata.
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Ukwenza: Push izaziso, amarekhodi okuqopha, ukufinyelela kwe-Trigger - Amasistimu okulawula.
2. Edge vs. Cloud Ai Archites
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Edge ai:
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Ukutholwa ku-Ikhamera noma ku: Izakhiwo ze-NVR / DVR.
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Okuncezimulisayo: I-Ultra - I-Latency ephansi, inciphise i-bandwidth, ukusebenza okungaxhunyiwe ku-inthanethi.
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Isibonelo: I-Limited Model Diactivety, izindleko ze-Hardware.
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Cloud Ai:
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Imifudlana ethunyelwe ku-datenter enamandla GPUS.
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Okuncezimulisayo: Amamodeli athuthukile, izibuyekezo eziphakathi nendawo.
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Isibonelo: I-latency ephezulu, ukucatshangelwa kobumfihlo, izindleko eziqhubekayo zenethiwekhi.
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Itbrid: Ukutholwa okubucayi emaphethelweni; Ukuhlaziywa okujulile efwini.
3. Amandla wokuqashelwa
Uhlobo lwento | Ubuchwepheshe Obalulekile | Umthelela Wezokuphepha |
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Ubuntu | Amamodeli wokutholwa komuntu (isb., Evulekile) | Izexwayiso zokungenelela; kunciphisa ama-alamu wamanga kusuka ku-non |
Ubuso | Ukutholwa kobuso nokushumeka (i-facenet, ukunzwa) | Ukulawulwa kokufinyelela; Bukela - Uhlu okufanayo |
Into yokuhamba | Multi - I-Class Detectors + LPR (Ilayisense - Ukuqashelwa kwePlate) | Ukuqapha Kwethrafikhi / Logistics; Izaziso ezingagunyaziwe - |
Isikebhe / izindiza / drone | Ukutholwa okukhethekile okuqeqeshelwe kuDail / Aero Datasets | Ezokuphepha ePort no-Airfield; Cha - Fly - Ukuphonswa Kwendawo |
Isilwane | Izilwane zasendle / izilwane zasekhaya | Ukuqapha Ukulondolozwa; Amanga - Ukuncishiswa kwe-Alarm |
4. Izicelo ezisebenzayo & Sebenzisa Amacala
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Ukuzivikela kwe-perimeter
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Ukutholwa kokutholwa, ukwephulwa komsuka, okungagunyaziwe - ama-alamu wokungena.
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Ukulawulwa kokufinyelela
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Ubuso - Qondanisa ngokumelene nolwazi lomsebenzi noma lwe-VIP; izingodo zokunwebeka zesikhathi.
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Ithrafikhi nokuphepha kwePort
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Ukubala kwezimoto, lpr for toll noma kuvinjelwe - Ukuphoqelelwa Kwendawo; ukulandelela komkhumbi.
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Isikhumulo sezindiza & nengqalasizinda Egxekayo
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Ukutholwa kokungenelela kwe-drone; I-Perimeter Patlol Augmentation.
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I-Wildlife & Monitoring yezemvelo
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Ukulandelwa kwezilwane ukulandelela; I-ANTI - Ukuxhaswa Okungaphansi Kwegazi.
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Ukusesha kwe-forensic
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I-AI - I-Index Eved Events yenza ukuthi "Thola wonke ozimele ngezikebhe eDock # 3" Queries.
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5. Ukubuka Kwemakethe
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Usayizi wemakethe 2024: ~ US $ 6.5 billion ekubhekeni kwevidiyo ye-AI.
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2030 Ukuqagela: US $ 28,8 billion (CAGR ~ 30.6%)
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Abashayeli bafaka amadolobha ahlakaniphile, ukuphepha kwezokuhamba, ukuhlaziya okuthengiswayo, kanye nokulondolozwa kwezilwane zasendle.
I-6. Ukuziphatha okunempilo, ubumfihlo nokusebenza okusebenzayo
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Ukuba wedwa: Ukunciphisa ukuhanjiswa kwevidiyo okuluhlaza; kuqhubeke - Ukungaziwa kwemishini (ukufiphala okungekho - okuhlosiwe).
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Ukuncipha kwe-bias: Ukuqeqeshwa kuma-datase ama-darese ukugwema ukucaciswa kwe-misclassic demographic.
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Ukulandela umthetho we-Relaction: I-GDPR, CCPA, izinhlaka zokuphatha ze-AI.
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Ukuvikeleka: Ukuqinisekisa amamodeli we-AI ngokwawo aphambukile - ukumelana.
7. Izitayela Ezizayo
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Ukufunda okuqhubekayo onqenqemeni: Amakhamera aqala kabusha idatha yendawo (ukufunda okufakiwe).
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Multi - inzwa ethambile: Ukuhlanganisa ividiyo ye-RGB nge-thermal, i-lidar, umsindo wokutholwa okuqinile.
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I-Contivaltual Ai: Amamodeli aqonda izindlela zokuziphatha (e.g., "isandla - ephakanyisiwe" isikhali "
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Amamodeli akhethekile akhethekile: Ama-devilized alungiselelwe izizinda ezithile (imikhumbi yasolwandle, izinhlobo ze-Avian).
Ukubeka kafushane
Ngokushukumisa ukujula - amapayipi okufunda kwi-hardware ye-surveillance kanye nesoftware, amasistimu wokuphepha manje Khomba izinsongo-Kusuka ekungeneni kwama-Drones angagunyaziwe - ngokoqobo - isikhathi, konke ngenkathi kunciphisa ama-alamu wamanga nezindleko zokusebenza. Imakethe ilungele ukukhula okusheshayo, okuqhutshwa inqubekela phambili e-Edge Computing, iMulti - Sensor AI, kanye nemikhuba yokuhanjiswa ngokusemthethweni.