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Ukuhlanganisa ukufunda okujulile kwe-AI namakhamera wokuhlola

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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:

  1. Ukuthwebula ividiyo: Phezulu - Ukuxazulula izinsolo kusuka kumakhamera we-IP / PTZ.

  2. Pre - Iyacubungula: Ukukhishwa kohlaka, ukukhulisa kabusha, ukujwayelekile.

  3. Ukuphuna: Ukutholwa kwento nokuhlukaniswa nge-CNNS (E.G., Yolov7, ngokushesha R - CNN).

  4. Thumela - Iyacubungula: Ukulandela umkhondo, isizukulwane sokuqwashisa, ukugawulwa kweMetadata.

  5. Ukwenza: Push izaziso, amarekhodi okuqopha, ukufinyelela kwe-Trigger - Amasistimu okulawula.


2. Edge vs. Cloud Ai Archites

  • Edge ai:

    • Ukutholwa ku-Ikhamera noma ku: Izakhiwo ze-NVR / DVR.

    • Okuncezimulisayo: I-Ultra - I-Latency ephansi, inciphise i-bandwidth, ukusebenza okungaxhunyiwe ku-inthanethi.

    • Isibonelo: I-Limited Model Diactivety, izindleko ze-Hardware.

  • Cloud Ai:

    • Imifudlana ethunyelwe ku-datenter enamandla GPUS.

    • Okuncezimulisayo: Amamodeli athuthukile, izibuyekezo eziphakathi nendawo.

    • Isibonelo: I-latency ephezulu, ukucatshangelwa kobumfihlo, izindleko eziqhubekayo zenethiwekhi.

  • Itbrid: Ukutholwa okubucayi emaphethelweni; Ukuhlaziywa okujulile efwini.
    64e3840f756417834cea5270_Feature image - The anatomy of a machine learning pipeline.jpg


3. Amandla wokuqashelwa

Uhlobo lwento Ubuchwepheshe Obalulekile Umthelela Wezokuphepha
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

  1. Ukuzivikela kwe-perimeter

    • Ukutholwa kokutholwa, ukwephulwa komsuka, okungagunyaziwe - ama-alamu wokungena.

  2. Ukulawulwa kokufinyelela

    • Ubuso - Qondanisa ngokumelene nolwazi lomsebenzi noma lwe-VIP; izingodo zokunwebeka zesikhathi.

  3. Ithrafikhi nokuphepha kwePort

    • Ukubala kwezimoto, lpr for toll noma kuvinjelwe - Ukuphoqelelwa Kwendawo; ukulandelela komkhumbi.

  4. Isikhumulo sezindiza & nengqalasizinda Egxekayo

    • Ukutholwa kokungenelela kwe-drone; I-Perimeter Patlol Augmentation.

  5. I-Wildlife & Monitoring yezemvelo

    • Ukulandelwa kwezilwane ukulandelela; I-ANTI - Ukuxhaswa Okungaphansi Kwegazi.

  6. Ukusesha kwe-forensic

    • I-AI - I-Index Eved Events yenza ukuthi "Thola wonke ozimele ngezikebhe eDock # 3" Queries.


5. Ukubuka Kwemakethe

  • Usayizi wemakethe 2024: ~ US $ 6.5 billion ekubhekeni kwevidiyo ye-AI.

  • 2030 Ukuqagela: US $ 28,8 billion (CAGR ~ 30.6%)

  • Abashayeli bafaka amadolobha ahlakaniphile, ukuphepha kwezokuhamba, ukuhlaziya okuthengiswayo, kanye nokulondolozwa kwezilwane zasendle.


I-6. Ukuziphatha okunempilo, ubumfihlo nokusebenza okusebenzayo

  • Ukuba wedwa: Ukunciphisa ukuhanjiswa kwevidiyo okuluhlaza; kuqhubeke - Ukungaziwa kwemishini (ukufiphala okungekho - okuhlosiwe).

  • Ukuncipha kwe-bias: Ukuqeqeshwa kuma-datase ama-darese ukugwema ukucaciswa kwe-misclassic demographic.

  • Ukulandela umthetho we-Relaction: I-GDPR, CCPA, izinhlaka zokuphatha ze-AI.

  • Ukuvikeleka: Ukuqinisekisa amamodeli we-AI ngokwawo aphambukile - ukumelana.


7. Izitayela Ezizayo

  • Ukufunda okuqhubekayo onqenqemeni: Amakhamera aqala kabusha idatha yendawo (ukufunda okufakiwe).

  • Multi - inzwa ethambile: Ukuhlanganisa ividiyo ye-RGB nge-thermal, i-lidar, umsindo wokutholwa okuqinile.

  • I-Contivaltual Ai: Amamodeli aqonda izindlela zokuziphatha (e.g., "isandla - ephakanyisiwe" isikhali "

  • Amamodeli akhethekile akhethekile: Ama-devilized alungiselelwe izizinda ezithile (imikhumbi yasolwandle, izinhlobo ze-Avian).


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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.

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    Ukuhlinzeka ngamava amahle kakhulu, sisebenzisa ubuchwepheshe njengamakhukhi okufanele bawagcine futhi / noma bafinyelele imininingwane yedivayisi. Ukuvuma kulobu buchwepheshe kuzosivumela ukuthi sicubungule idatha efana nokuphambanisa kokuziphatha noma ama-ID ahlukile kuleli sayithi. Ukungavumi noma ukuhoxisa imvume, kungathinta kabi izici nemisebenzi ethile.
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