<prompt> Hlalosa mehato e amehang tsebetsong ea ho lemoha sefahleho.nan  <response>: Instruction in English: Describe the steps involved in the facial recognition process. . Response in English: Facial recognition is a technology used to identify or verify a person from a digital image or video source. The process involves several steps including:1. Face detection: The first step in facial recognition is detecting the presence of a face in an image or video frame. Advanced algorithms analyze the image data to identify facial features such as the eyes, nose, and mouth, and determine if there is a face present.2. Facial landmarks identification: Once a face is detected, the algorithm identifies key facial landmarks such as the corners of the eyes, tip of the nose, and corners of the mouth. These landmarks are used to capture the unique features and shape of the face.3. Face normalization: The facial recognition algorithm then normalizes the face by accounting for factors such as head orientation, lighting, and other variables that may affect the image.4. Feature extraction: After normalization, the algorithm extracts features from the face, such as the shape of the eyes, the distance between the eyes, the shape of the jawline, etc. These features are then represented as a mathematical vector, known as a faceprint.5. Face matching: The final step in the process is to compare the faceprint with a database of known faces. If there is a match, the algorithm will return the identity of the person. If there is no match, the algorithm may either flag the image as an unknown person or, in some cases, prompt the user to create a new record for that individual.Facial recognition technology is used in a wide range of applications including security, access control, and personal device unlocking, among others. Despite its many benefits, facial recognition technology is not without its challenges, including concerns around accuracy and privacy. . Response in Sesotho: Ho lemoha sefahleho ke theknoloji e sebelisetsoang ho tseba kapa ho netefatsa motho ho tsoa setšoantšong sa digital kapa mohloling oa video. Tsebetso e kenyelletsa mehato e mengata e kenyeletsang: 1. Ho lemoha sefahleho: Mohato oa pele oa ho lemoha sefahleho ke ho lemoha boteng ba sefahleho setšoantšong kapa foreimi ea video. Li-algorithms tse tsoetseng pele li sekaseka data ea setšoantšo ho tseba likarolo tsa sefahleho joalo ka mahlo, nko le molomo, le ho fumana hore na ho na le sefahleho se teng. 2. Boitsebahatso ba matshwao a sefahleho: Hang ha sefahleho se fumanwa, algorithm e hlwaya matshwao a bohlokwa a sefahleho a kang dikgutlo tsa mahlo, ntlha ya nko, le dikgutlo tsa molomo. Litsoantso tsena li sebelisoa ho nka likarolo tse ikhethang le sebopeho sa sefahleho. 3. Ho tloaeleha ha sefahleho: Algorithm ea ho lemoha sefahleho e ntano etsa hore sefahleho se tloaelehe ka ho ikarabella bakeng sa lintlha tse kang hlooho, mabone, le lintho tse ling tse ka amang setšoantšo. 4. Tlhahiso ea likarolo: Kamora ho tloaeleha, algorithm e qotsa likarolo tsa sefahleho, joalo ka sebopeho sa mahlo, sebaka se pakeng tsa mahlo, sebopeho sa mohlahare, joalo-joalo. Joale likarolo tsena li emeloa joalo ka lipalo. vector, e tsejoang e le faceprint. 5. Ho bapisa sefahleho: Mohato oa ho qetela ke ho bapisa sefahleho sa sefahleho le pokello ea lifahleho tse tsebahalang. Haeba ho na le papali, algorithm e tla khutlisetsa boitsebiso ba motho. Haeba ho se na papali, algorithm e kanna ea tšoaea setšoantšo e le motho ea sa tsejoeng kapa, maemong a mang, ea khothaletsa mosebelisi ho etsa rekoto e ncha bakeng sa motho eo. Theknoloji ea ho lemoha sefahleho e sebelisoa mefuteng e mengata ea litsebetso ho kenyelletsa tsireletso, taolo ea phihlello, le ho notlolla lisebelisoa tsa motho ka mong, hara tse ling. Ho sa tsotellehe melemo ea eona e mengata, theknoloji ea ho lemoha sefahleho ha e na mathata a eona, ho kenyelletsa le ho ameha ka ho nepahala le ho ba boinotšing. 