<prompt> Hlalosa hore na theknoloji ea ho lemoha sefahleho e sebetsa joang.nan  <response>: Instruction in English: Explain how facial recognition technology works. . Response in English: Facial recognition technology is a software that uses algorithms and machine learning to detect and identify human faces in digital images or videos. The technology works by mapping facial features from an image or video, then comparing the data to the database of known faces to find a match.The process begins with detecting a face in the image, this is done by analyzing the images pixels to find patterns that resemble a human face. Once the face is detected, the software creates a digital representation of the face, called a faceprint, by measuring and mapping key facial features, such as the distance between the eyes, the shape of the jawline, and the width of the nose. These measurements are then converted into a numerical code that uniquely identifies the face.The technology then compares the faceprint to the database of known faces. Here, machine learning algorithms are used since a similar face might not be an identical match. Algorithms help in identifying features of the faces like skin tone, hair color, and facial structure, looking for similarities and differences to find the best match possible.When a match is found, the software returns the identity of the matched face, if no match is found, it might return unknown or in some systems, it would store the faceprint to use it to improve the systems accuracy. Facial recognition technology is constantly evolving and improving, making it faster and more accurate at detecting and identifying faces. This technology is used in various applications, including security and surveillance, biometric authentication, and personal photo organization, to mention but a few. . Response in Sesotho: Theknoloji ea ho lemoha sefahleho ke software e sebelisang li-algorithms le ho ithuta ka mochine ho lemoha le ho khetholla lifahleho tsa batho litšoantšong kapa livideo tsa digital. Theknoloji e sebetsa ka ho etsa mapa oa likarolo tsa sefahleho ho tsoa setšoantšong kapa video, ebe o bapisa lintlha le polokelo ea lifahleho tse tsebahalang ho fumana tse tšoanang. Tsebetso e qala ka ho lemoha sefahleho setšoantšong, sena se etsoa ka ho sekaseka lipikselse tsa setšoantšo ho fumana lipaterone tse tšoanang le sefahleho sa motho. Hang ha sefahleho se fumanoa, software e etsa setšoantšo sa digital sa sefahleho, se bitsoang faceprint, ka ho lekanya le ho etsa mapa likarolo tsa bohlokoa tsa sefahleho, tse kang sebaka se pakeng tsa mahlo, sebōpeho sa mohlahare, le bophara ba nko. Joale litekanyo tsena li fetoloa khoutu ea linomoro e khethollang sefahleho ka ho khetheha. Joale theknoloji e bapisa faceprint le database ea lifahleho tse tsebahalang. Mona, ho sebelisoa li-algorithms tsa ho ithuta ka mochini kaha sefahleho se tsoanang se kanna sa se tsoane. Li-algorithms li thusa ho tsebahatsa likarolo tsa lifahleho joalo ka letlalo, mala oa moriri le sebopeho sa sefahleho, ho batla ho tsoana le ho se tšoane ho fumana tse tšoanang hantle ka ho fetisisa. Ha papali e fumanoa, software e khutlisa boitsebiso ba sefahleho se tsoanang, ha se sa fumanehe, se ka khutlisa ha se tsejoe kapa litsebetsong tse ling, se tla boloka sefahleho sa sefahleho ho se sebelisa ho ntlafatsa ho nepahala ha sistimi. Theknoloji ea ho lemoha sefahleho e lula e fetoha le ho ntlafala, e etsa hore e be kapele le e nepahetseng haholoanyane ha e lemoha le ho khetholla lifahleho. Theknoloji ena e sebelisoa litsebetsong tse fapaneng, ho kenyelletsa tsireletso le leihlo, netefatso ea biometric, le mokhatlo oa lifoto tsa motho, ho bolela tse seng kae feela. 