Gusenya birambuye imbere - Iherezo ninyuma - Kurangiza Algorithms ya Algorithms muri sisitemu yo kugenzura

1. Imbere - Kurangiza Algorithm

The imbere - iherezo Algorithms ikora mu buryo butaziguye mu gice cya kamera, akenshi ipima Kubara Edge ubushobozi. Aya magambo agenewe inzira mbisi ya sensor yamakuru, bityo bigabanya umurongo wa bandwidth na seriveri ukora imirimo ibanza kurwego rwa kamera. Reka dusuzume ibice nyamukuru:

a. Kamera ibyuma hamwe na sensor kwishyira hamwe

Kamera yo kugenzura igezweho irimo ubwoko bwinshi bwa sensor:

• Ishusho ya Sensor (CMOS, CCD): Fata amakuru agaragara (amashusho na videwo) muburyo butandukanye bwo gucana.
• Infrared (iR): Gushoboza kamera gufata amashusho mu mucyo muto cyangwa umwijima wuzuye.
• Lidar na pisine yimbitse: Gupima intera no kumenya ibintu mumwanya wa 3D, bifite akamaro mugutandukanya ibintu n amabakongo mubyerekanwe.
• MicroPhone: Rimwe na rimwe ihujwe n'amajwi - ishingiye ku gusesengura.

Aba basssor boherereza amakuru yibanze kubice byo gutunganya, aho harakunze Ishusho Pre - Gutunganya Byakoreshejwe.

b. Ishusho Pre - Gutunganya no kugabanya urusaku

Mbere yo gushyira isesengura rigoye, Ishusho Pre - Gutunganya ni ingenzi kugirango wongere ubwiza bwibishya, cyane cyane mubihe byamatara cyangwa ibidukikije:

• Kugaragaza algorithms: Kuraho urusaku rwa sensor, mubisanzwe ukoresheje muyungurura Gaussian Blur or Non - Uburyo bwo Gusobanura.
• Itandukaniro no guhinduranya: Algorithms nka Kugereranya kwa moshi hindura umucyo kandi utandukanye kugirango ugaragaze.
• Gutahura: Kumenya EDD (E.g. Umukoresha wa Sol, Canny Ertation Kumenya) irashobora gufasha gusobanura imipaka yikintu, ni ngombwa kugirango ukurikirane ikintu.

c. Gutahura no gukuramo inyuma

Gutahura nimwe mumirimo yibanze ikorwa imbere - Icyambu cya Algorithms. Bikunze gushingira ku ihame ryo kugereranya amakadiri akurikirana kugirango tumenye ibintu byimuka.

• Kureka Amavu n'amavuko: Tekinike aho algorithm ikuramo icyitegererezo cyibanze kuva kuri kamere iriho. Impinduka zose zikomeye ziri ibendera.
• Ikadiri itandukanye: Uburyo bworoshye aho algorithm ituma itandukaniro riri hagati yingingo zikurikirana, uturere tubendera aho impinduka zabaye.
• Gutemba: Uburyo buhanitse busesengura icyerekezo cya pigiseli hafi ya pigiseli hakurya yimigabane ikurikirana kugirango ibone icyerekezo, akenshi ikoreshwa ifatanije na Kalman yo gukurikirana.

d. Kumenya ikintu no gukurikirana

Imbere - iherezo, gutahura ibintu no gukurikirana bikorwa mugace kugirango tumenye kandi dukemure ibintu (urugero, abantu, ibinyabiziga, inyamaswa). Tekinike nyamukuru arimo:

• Yolo (urasa rimwe gusa): Leta - ya - - Ubuhanzi Algorithm ishobora kumenya ibintu byinshi mubyukuri - igihe. Yolo agabanya ishusho muri gride kandi ahamagarira agasanduku kuri buri kintu muri gride.
• Haar cascade gupima: Byakoreshejwe mu mirimo yoroshye yo gutahura, nko kumenya isura, hashingiwe ku kubanza -
• Kalman Akayunguruzo: Ikoreshwa kuri gukurikirana kwimura ibintu mumakadiri. Bigereranya leta yikintu cyimuka (umwanya, umuvuduko) hanyuma uhanura umwanya uzaza.

e. Anomaly Kumenya no Gutera imbere

Anomaly Kumenya imbere - Kurangiza mubisanzwe byibanda ku kumenya ibintu bidasanzwe muri videwo:

• Kugenda gitunguranye: Gutahura imigendekere yihuse cyangwa itateganijwe, nkumuntu wiruka cyangwa imbata itunguranye.
• Umusaraba - Kumenya umurongo: Koresha imiyoboro cyangwa imirongo itera integuza mugihe ikintu cyarabambuwe.
• Agace Kwinjira: Menya niba ikintu cyinjiye cyangwa kisohoka ahantu hateganijwe murwego.

Ibi bisobanuro birashobora noneho gutera imbere - Igihe Imenyesha kuri inyuma - iherezo Sisitemu cyangwa wohereze imenyesha ryihuse kubakozi bashinzwe umutekano.

2. Inyuma - kurangiza algorithm

The inyuma - iherezo Sisitemu ishinzwe guterura biremereye, gukemura ibibazo byamakuru bigoye no kubika amajwi manini yamakuru ya videwo. Ikora muguhabwa imigezi ya videwo cyangwa metadata uhereye imbere - kamera yanyuma kandi ikora isesengura ryateye imbere, akenshi ukoresha isesengura rya AI na Tekinike yo kwiga imashini. Dore gusenyuka kwa Inshingano z'ingenzi byakozwe inyuma - Icyago cya Algorithms:

a. Video Stream na Gukwirakwiza amakuru

• Ikusanyamakuru: Kamera yohereza amakuru ya videwo inyuma - Kurangiza unyuze kumurongo wa interineti, imiyoboro yaho (LANS), cyangwa serivisi zicura.
• Kwikuramo: Kugabanya imikoreshereze ya Bandidth, imigezi ya videwo ikunze guhagarikwa ukoresheje ibipimo nka H.264 or H.265, kikazigama ubuziranenge bwa videwo mugihe ugabanya ingano ya dosiye.

b. Isesengura rya videwo no kwiga byimbitse

• Kumenya ibintu: Inyuma - Kurangiza ukoresha moderi yimbitse nka Yolo, Byihuse r - CNN, cyangwa SSD . Izi moderi zahuguwe kuri datasets nini kugirango umenye ibintu bitandukanye nkabantu, ibinyabiziga, inyamaswa, nibindi.

• Kumenyekana mumaso: Kugenzura indangamuntu cyangwa kugenzura, kwerekana isura Facenet or Yamazaki. Izi moderi zigereranya amasura mumashusho ya videwo kuri data base zabantu bazwi.

• Kumenyekanisha ibikorwa: Usibye kumenya ibintu, inyuma - impera irashobora kandi gutondekanya ibikorwa cyangwa imyitwarire muri videwo. Kurugero, kumenya imirwano, ingendo ziteye inkeke, cyangwa izindi myitwarire yagenwe ukoresheje Rnns (imiyoboro isubirwamo) or 3D CNns.

• Ibyiciro: Inyuma - Iherezo ryakurikiranyweho ibintu cyangwa imyitwarire mu birori bifite ireme (urugero, "umuntu waranze", "imodoka ihagaze igihe kirekire".

c. Metadata tagging hamwe na taleardability

• Taging: Buri cyiciro cyangwa igice cya videwo gishushanyijeho metadata bijyanye (urugero, umwanya, ahantu, ibintu byagaragaye, ibyabaye).
• Indangagaciro: Video nibimenyetso byamakuru byerekanye kugirango yemere gushakisha neza. Ukoresheje tekinoloji nka Elastitse, biraroroshye gushakisha binyuze mumakuru manini ya videwo ashingiye kuri tagi cyangwa metadata.

Kurugero, urashobora gushakisha "abantu bagaragaye mukarere kabujijwe kuva saa mbiri za mugitondo kugeza saa tatu za mugitondo."

d. Isesengura ry'imyitwarire no Kumenya Anomaly

• Kumenyekanisha: Gukoresha moderi yo kwiga imashini, sisitemu yiga kumakuru menshi yamateka aho imyitwarire isanzwe iri mubidukikije (urugero, iduka, inguni yumuhanda). Icyitegererezo noneho ibendera itandukana muribisanzwe.

• Ibyabaye: Inyuma - sisitemu yanyuma irashobora guhuza ibintu byinshi cyangwa imigezi (urugero, guhuza Gutahura hamwe Kumenyekana mumaso). Niba ibikorwa bidasanzwe bigaragaye, sisitemu irashobora gutanga imenyesha rikorwa.

• Igihe kirekire - ijambo gusesengura: Igihe kirenze, sisitemu irashobora gukurikirana imigendekere nubushobozi, itanga ubushobozi bwo guhanura (urugero, kumenya ahantu hashobora kwiba, guhanura mugihe uturere tumwe na tumwe dushobora guhura nibikorwa).

e. Kwishyira hamwe kwacu no gucika intege

• Kubika Igicu: Video data, cyane cyane video - Ibisobanuro, birashobora kubikwa mu gicu, bigatuma kububiko bukabije batarenze ibikorwa remezo byaho.

• Igicu Ai Gutunganya: Gutunganya bimwe bikorwa mu gicu kugirango ukoreshe ibyuma bikomeye (urugero, Gpus kubikorwa byimbitse byo kwiga). Igicu kirashobora kandi gukoreshwa mugutoza moderi kuri datasets nini.

3. Scenarios

Hamwe n'ubushobozi buhanitse imbere - Iherezo ninyuma - Kurangiza Algorithms Algorithms, sisitemu yo kugenzura ubu ikoreshwa muburyo butandukanye:

a. Gusuzuma mu mijyi mu mijyi yubwenge

• Gukurikirana traffic: Kamera irashobora gukurikirana imihanda itemba, imenya impanuka, no gukurikirana ibinyabiziga byo kurenga nkimiti yihuta cyangwa ikora.

• Gucunga imbaga: Kamera ifite ibikoresho byo kubara no gusesengura imyitwarire algorithms ifasha gucunga imbaga, kubungabunga umutekano mubibanza rusange.

• Umutekano rusange: Kamera irashobora kumenya imyitwarire idasanzwe (urugero, kurwana cyangwa gutinda) hanyuma uhita umenyesha abayobozi.

b. Gusubiramo gucuruza kubujura no gutsindira abakiriya

• Gukumira: AI algorithms ibura imyitwarire iteye inkeke nko kwihuta cyangwa uburyo budasanzwe muburyo bwimikorere ya Shopper.

• Isesengura ry'abakiriya: Abacuruzi barashobora gukoresha kamera kugirango bakurikirane abakiriya, basesenguye uburyo abakiriya bamara mu bice byihariye, kandi bagahitamo imiterere yububiko ishingiye kumiterere yumuhanda.

c. Umutekano n'Umuremyi

• Gukurikirana ishyaka: Mu bitaro, kamera zo kugenzura ubwenge zishobora gukurikirana imigendekere yihangana kugirango itangire kugwa, uburyo butemewe bwo kubona ahantu heza, cyangwa abarwayi mubibazo.

• Umutekano w'abakozi: Abashinzwe umutekano barashobora kwakira abamenyesha mugihe imyitwarire ikaze cyangwa abakozi batabifitiye uburenganzira.

d. Kurinda Ibikorwa Remezo

• Hejuru - Uturere dushinzwe umutekano: Sisitemu yo kugenzura irinda hejuru - Agaciro Ahantu nkamakuru, Ibimera byingufu, ninyubako za leta, aho hakoreshwa na algorithms, no kumenya isura.

e. Umutekano wo murugo

• Kumenya Intore: Mu Mutekano Murugo, kamera hamwe no kumenyekana no gukurikira algorithms birashobora kumenya abacengezi, babangamira ba nyir'urugo, na ba rarulamu.

• Gukuraho Packaft Gukumira: Kamera irashobora kumenya ibikorwa biteye amakenga bijyanye no gupakira no kumenyesha amashuri.

Umwanzuro

Kwishyira hamwe kwa ALGrithms Kuri imbere - iherezo na inyuma - iherezo ni uguhindura umurima wa kugenzura. Kuva kubanziriza amakuru no kubona ibirori byibanze kuri kamera kurwego rwateye imbere hamwe nisesengura ryimashini - kuruhande, izi algorithm itanga ibisubizo byuzuye munganda zitandukanye. As AI and machine learning continue to evolve, these systems will become even more powerful, offering enhanced security, better resource management, and predictive capabilities that can prevent potential threats before they escalate.