Ngokuthuthuka kwesayensi nobuchwepheshe, i-inthanethi Yezinto (iot) isiphenduke ubuchwepheshe obusha obukhathazeke kakhulu njengamanje. Iyadlondlobala, ivumela yonke into emhlabeni ukuthi ixhumeke eduze futhi ixhumane kalula. Izakhi ze-iot zikhona yonke indawo. I-inthanethi Yezinto sekuyisikhathi eside ibhekwa “njengenguquko elandelayo yezimboni” njengoba isilungele ukuguqula indlela abantu abaphila ngayo, abasebenza ngayo, abadlala ngayo nabahamba ngayo.

Kulokhu, siyabona ukuthi uguquko lwe-inthanethi Yezinto seluqalile buthule. Izinto eziningi ezazisemqondweni futhi ezivele kuphela kumafilimu ezinganekwane zesayensi ziyavela empilweni yangempela, futhi mhlawumbe ungazizwa manje.

Ungakwazi ukulawula ukude izibani zekhaya lakho nesimo somoya kusukela kufoni yakho ehhovisi, futhi ungakwazi ukubona ikhaya lakho ngamakhamera okuphepha avela
izinkulungwane zamakhilomitha kude. Futhi amandla e-inthanethi Yezinto adlula lokho. Umqondo wesikhathi esizayo wedolobha elihlakaniphile labantu uhlanganisa i-semiconductor, ukuphathwa kwezempilo, inethiwekhi, isofthiwe, i-cloud computing kanye nobuchwepheshe bedatha enkulu ukuze kwakhe indawo ye-li ehlakaniphile. Ukwakha idolobha elihlakaniphe kangaka ngeke kwenzeke ngaphandle kokubeka ubuchwepheshe, okuyisixhumanisi esibalulekile se-inthanethi Yezinto. Njengamanje, ukuma kwasendlini, ukubeka ngaphandle kanye nobunye ubuchwepheshe bokumisa kuseqhudelwaneni elishubile.

Njengamanje, i-GPS kanye nobuchwepheshe bokubeka indawo esiteshini ngokuyisisekelo buhlangabezana nezidingo zabasebenzisi bezinsizakalo zendawo ezimeni zangaphandle. Kodwa-ke, u-80% wempilo yomuntu uchithelwa endlini, kanti ezinye izindawo ezinomthunzi omningi, njengamathaneli, amabhuloho aphansi, imigwaqo ephakeme kakhulu kanye nezimila eziminyene, kunzima ukuzithola ngobuchwepheshe bokumisa isathelayithi.

Ukuze kutholwe lezi zimo, ithimba labacwaningi labeka phambili uhlelo lohlobo olusha lwemoto yesikhathi sangempela esekelwe ku-UHF RFID, lahlongozwa ngokusekelwe endleleni yokubeka umehluko wesigaba samafrikhwensi amaningi, ixazulula inkinga yokungacaci kahle kwesigaba okubangelwa isignali yefrikhwensi eyodwa thola, kusekelwe kuqala okuhlongozwayo
ku-algorithm yokwenziwa kwasendaweni okukhulu okungenzeka ukuze ulinganisele ithiyori esele yesiShayina, i-algorithm ye-Levenberg-Marquardt (LM) isetshenziselwa ukuthuthukisa izixhumanisi zendawo eqondiwe. Imiphumela yokuhlola ibonisa ukuthi uhlelo oluhlongozwayo lungakwazi ukulandelela indawo yemoto ngephutha elingaphansi kuka-27 cm emathubeni angu-90%.

Uhlelo lokumisa imoto kuthiwa luqukethe umaki we-UHF-RFID obekwe eceleni komgwaqo, umfundi we-RFID one-antenna ebekwe phezulu emotweni,
kanye nekhompyutha esebhodini. Uma imoto ihamba emgwaqeni onjalo, umfundi we-RFID angathola isigaba sesignali ehlakazekile kusukela kumathegi amaningi ngesikhathi sangempela kanye nolwazi lwendawo olugcinwe kumaka ngamunye. Njengoba umfundi ekhipha amasignali amafrikhwensi amaningi, umfundi we-RFID angathola izigaba eziningi ezihambisana namafrikhwensi ahlukene wethegi ngayinye. Lesi sigaba nolwazi lwendawo luzosetshenziswa ikhompuyutha esebhodini ukubala ibanga ukusuka othini kuya kumaka we-RFID ngayinye bese kunqunywa izixhumanisi zemoto.