<prompt> Hlahisa tharollo e thehiloeng ho AI ho fokotsa likhohlano lipakeng tsa likoloi le batho ba tsamaeang ka maoto.Ha ho tlhahiso  <response>: Instruction in English: Generate an AI-based solution to reduce collisions between cars and pedestrians. . Response in English: One potential AI-based solution to reduce collisions between cars and pedestrians is to implement advanced computer vision and object recognition algorithms in cars and traffic cameras. In cars, cameras and sensors would constantly scan the environment, identifying pedestrians and alerting the driver if a collision is imminent. The system would calculate the distance and speed of the pedestrian in relation to the car, and alert the driver with visual and auditory signals of a potential collision. If the driver fails to react, the car could automatically apply the brakes to avoid or mitigate the impact.In addition, traffic cameras equipped with AI technology could monitor and analyze pedestrian and vehicle behavior in real-time. The system could detect risky situations such as jaywalking or speeding, and notify the authorities or activate warning signals to prevent accidents.Another important aspect of this solution would be integrating predictive analytics and machine learning algorithms to learn from historical data and identify patterns and behaviors that can lead to collisions. This would allow for proactive measures such as adjusting traffic signals, improving crosswalk design, and implementing targeted education and awareness campaigns.Overall, the combination of advanced computer vision, object recognition, predictive analytics, and machine learning can provide a powerful AI-based solution to reduce collisions between cars and pedestrians and improve overall road safety. . Response in Sesotho: Tharollo e ngoe e ka bang teng e thehiloeng ho AI ea ho fokotsa likhohlano lipakeng tsa likoloi le ba tsamaeang ka maoto ke ho kenya tšebetsong pono e tsoetseng pele ea khomphutha le li-algorithms tsa ho lemoha lintho likoloing le likhamera tsa sephethephethe. Likoloing, likhamera le li-sensor li ne li lula li hlahloba tikoloho, li tsebahatsa batho ba tsamaeang ka maoto le ho lemosa mokhanni haeba ho le haufi le ho thulana. Sistimi e ne e tla lekanya sebaka le lebelo la motho ea tsamaeang ka maoto mabapi le koloi, me e hlokomelise mokhanni ka matšoao a bonoang le a kutlo mabapi le ho thulana ho ka bang teng. Haeba mokhanni a sa khone ho itšoara, koloi e ka itlama ka mariki ho qoba kapa ho fokotsa tšusumetso. Ho feta moo, likhamera tsa sephethe-phethe tse nang le theknoloji ea AI li ka beha leihlo le ho sekaseka boitšoaro ba batho ba tsamaeang ka maoto le ba likoloi ka nako ea nnete. Sistimi e ka lemoha maemo a kotsi joalo ka ho tsamaea ka maoto kapa ho tsamaea ka lebelo le phahameng, me ea tsebisa ba boholong kapa ea kenya tšebetsong matšoao a lemosang ho thibela likotsi. Karolo e ngoe ea bohlokoa ea tharollo ena e tla ba ho kopanya li-analytics tsa ho bolela esale pele le li-algorithms tsa ho ithuta ka mochini ho ithuta ho tsoa ho data ea nalane le ho tseba mekhoa le boitšoaro bo ka lebisang ho thulana. Sena se ka lumella mehato e potlakileng joalo ka ho lokisa matsoao a sephethephethe, ho ntlafatsa moralo oa litselana, le ho kenya tsebetsong matšolo a reriloeng a thuto le tlhokomeliso. Ka kakaretso, motsoako oa pono e tsoetseng pele ea khomphieutha, ho lemoha lintho, li-analytics tsa ho bolela esale pele, le ho ithuta ka mochine li ka fana ka tharollo e matla ea AI ho fokotsa ho thulana pakeng tsa likoloi le ba tsamaeang ka maoto le ho ntlafatsa polokeho ea litsela ka kakaretso. 