Ukwethula i-AI ezinhlelweni zamakhamera ezikhona akugcini nje ngokuthuthukisa ukusebenza kahle kokuqapha kanye nokunemba kodwa futhi kwenza kube lula ukuhlaziya izigcawu ezihlakaniphile kanye namakhono okuxwayisa kusenesikhathi. Ngokukhetha amamodeli okufunda okujulile afanele, ukuthuthukisa ubuchwepheshe bokuqagela ividiyo ngesikhathi sangempela, ukusebenzisa i-hybrid edge computing kanye nokwakhiwa kwamafu, kanye nokusebenzisa ukuthunyelwa okunamakhonteyina nokukhuliswayo, ubuchwepheshe be-AI bungahlanganiswa ngempumelelo ezinhlelweni zamakhamera ezikhona.
Sethula ubuchwepheshe be-AI
Ukukhethwa Nokuthuthukiswa Kwemodeli Yokufunda Okujulile
Amamodeli okufunda okujulile “angubuchopho” bezinhlelo zokuqapha ividiyo, anomthwalo wokukhipha nokuhlaziya ulwazi kumafreyimu evidiyo. Ukukhetha imodeli yokufunda okujulile efanele kubalulekile ekuthuthukiseni ukusebenza kwesistimu. Amamodeli avamile okufunda okujulile afaka:
Uchungechunge lwe-YOLO: Lufanele izimo ezinezidingo eziphezulu zesikhathi sangempela, njengokuqapha ithrafikhi.
I-R-CNN Esheshayo: Ifanele izimo ezinezidingo zokunemba okuphezulu, njengokutholwa kweziphambeko zezimboni.
I-Visual Transformer (ViT): Isebenza kahle kakhulu ekucubunguleni izigcawu eziyinkimbinkimbi kanye nedatha yochungechunge lwesikhathi eside.
Ukuze kuthuthukiswe ukusebenza kahle kokuqeqeshwa kwamamodeli kanye nokusebenza kahle, kungasetshenziswa amasu okuthuthukisa alandelayo:
Ukufunda kokudlulisela: Ukusebenzisa amamodeli aqeqeshwe kusengaphambili ukunciphisa isikhathi sokuqeqesha kanye nezidingo zedatha.
Ukuhlukanisa idatha: Kuthuthukisa ukusebenza kahle kwekhompyutha.
Ubuchwepheshe bokuqagela ividiyo ngesikhathi sangempela: Ukuqagela ividiyo ngesikhathi sangempela kuwumsebenzi obalulekile ezinhlelweni zokuqapha, futhi ukusebenza kahle kwayo kuncike kumasu ehadiwe kanye nokwenza ngcono. Izindlela zobuchwepheshe ezivamile zifaka: I-TensorRT: Isheshisa ukuqagela kwemodeli. Ukwakhiwa kokuqagela okuhambisanayo: Icubungula ukusakazwa kwevidiyo okuningi ngaphandle kokuvimba imisebenzi. Ngokuphathelene nokusekelwa kwehadiwe, ama-GPU nama-FPGA ahamba phambili ezimweni ezihambisana kakhulu, kuyilapho ama-NPU kumadivayisi asemaphethelweni elinganisela ukusebenza kanye nokusebenza kahle kwamandla.
Ukwakheka okuhlanganisiwe okuhlanganisa i-edge computing kanye ne-cloud kwenza amamodeli okuthunyelwa ahlakaniphe kakhulu. I-Edge computing inikeza inzuzo yokusebenza kwesikhathi sangempela, isusa isidingo sokudluliselwa kwenethiwekhi. Ukuhlaziywa okusekelwe efwini kungagcina idatha yomlando futhi kwenze ukuhlaziywa kwamaphethini amakhulu. Isibonelo, uhlelo lokuphepha lwenza ukuhlaziywa kokugeleza kwabasebenzi okuvamile kumadivayisi e-edge, ngenkathi lulayisha ukuhlaziywa kwamaphethini okuziphatha kobugebengu okuyinkimbinkimbi kumaseva efu.
Ukufakwa Kweziqukathi Nokusetshenziswa Okungakhula
Ubuchwepheshe bokufaka ama-container (njenge-Docker ne-Kubernetes) buvumela ukuthunyelwa kwesistimu okusheshayo kanye nokuvuselelwa okulula kanye nokwandiswa. Ngokufaka ama-container, abathuthukisi bangahlanganisa amamodeli e-AI kanye nokuxhomekeka okuhlobene ndawonye, baqinisekise ukusebenza okuzinzile ezindaweni ezahlukahlukene.
Amacala Okusetshenziswa Kokwethula Ubuhlakani Bokwenziwa
Ukubhekwa Kwevidiyo Ye-AI Emadolobheni Ahlakaniphile
Emadolobheni ahlakaniphile, ubuchwepheshe be-AI busetshenziswa kabanzi ezinhlelweni zokuqapha ividiyo ukuthuthukisa ukusebenza kahle nokuphepha kokuphathwa kwedolobha. Isibonelo, amakhamera afakwe ezinsikeni ezihlakaniphile asebenzisa ubuchwepheshe be-biometric kanye nokuqashelwa kwamaphethini ukuze abone ngokuzenzakalelayo izimoto nabahamba ngezinyawo abaphula imithetho yethrafikhi futhi babaxwayise. Lolu hlelo lokusebenza alugcini nje ngokuthuthukisa ukusebenza kahle kokuphathwa kwethrafikhi kodwa futhi lunciphisa isidingo sokungenelela kwabantu.
Ukuphathwa Kwethrafikhi Okuhlakaniphile
Emkhakheni wezokuthutha ezihlakaniphile, ubuchwepheshe be-AI busetshenziswa ukwenza ngcono ukulawulwa kwezimpawu zethrafikhi, ukubikezela ukuhamba kwethrafikhi, kanye nokubona ngokuzenzakalelayo izingozi zethrafikhi. Isibonelo, iMetropolis City ihlanganise ubuchwepheshe bokulawula izimpawu eziguquguqukayo ezindaweni zokuhlangana. Lobu buchwepheshe, buhlanganiswe nama-algorithms e-AI, busebenzisa izinzwa ze-inductive loop kanye nezinhlelo zokuthola ividiyo ukuze zithwebule idatha yesikhathi sangempela futhi zithuthukise ngokuguquguqukayo ubude bezimpawu zethrafikhi kusetshenziswa amamodeli okufunda komshini. Lobu buchwepheshe bunciphise kakhulu ukubambezeleka kwezimoto kanye nekhwalithi yesevisi yethrafikhi ethuthukisiwe.
Ukwethula i-AI ezinhlelweni zamakhamera ezikhona akugcini nje ngokuthuthukisa ukusebenza kahle kokuqapha kanye nokunemba kodwa futhi kwenza kube lula ukuhlaziya izigcawu ezihlakaniphile kanye namakhono okuxwayisa kusenesikhathi. Ngokukhetha amamodeli okufunda okujulile afanele, ukuthuthukisa ubuchwepheshe bokuqagela ividiyo ngesikhathi sangempela, ukusebenzisa i-hybrid edge computing kanye nokwakhiwa kwamafu, kanye nokusebenzisa ukuthunyelwa okunamakhonteyina nokukhuliswayo, ubuchwepheshe be-AI bungahlanganiswa ngempumelelo ezinhlelweni zamakhamera ezikhona.
Isikhathi sokuthunyelwe: Julayi-31-2025