抗疫黑科技:AI的“眼睛”“耳朵”“嘴巴”如何助力科技抗疫?

AI Temperature checking system

AI測溫系統


Hospitals are equipped with an automatic temperature warning system, and with people in China gradually going back to work, AI temperature checking is also being used in public places like subways and office buildings.

醫院裡安裝上了全自動紅外熱成像測溫告警系統。隨著復工復產逐步推進,地鐵、辦公樓等公共場合也裝上了AI測溫系統。


It uses facial recognition to detect one’s forehead, then detects body temperature remotely through infrared thermography in just one second to avoid cross infections.

它先用面部識別技術定位到行人的額頭區域,然後用紅外線遠程測量體溫,僅1秒就能得出結果。此舉可以避免交叉感染。


The world's first intelligent AR temperature measuring glasses were also put into use during the COVID-19 outbreak.

世界首款AR測溫眼鏡也在這次抗疫中大施拳腳。


The device can scan the body temperature of people in real time and show it to the wearer by way of thermal imaging. Up to 100 people can be screened within 2 minutes.

它可實時顯示體溫數據,並可在佩戴者的視線前方顯示,且2分鐘內可測溫100人。


Temperature checking can take place from a distance of 1 meter making the device suitable for use in scenic spots, business circles and offices.

該眼鏡測溫距離範圍為1米,非常適合在景區、商圈、車站、辦公園區等移動巡邏場景下使用。


Conducting follow-up visits

語音


Using big data, speech recognition and semantic understanding technology, AI can call people at risk of infection.

通過將大數據與語音識別、語義理解等技術相結合,AI可以打電話給有潛在感染風險的人員,以此進行排查。


This volunteer can make ten thousand phone calls a day without taking a break.

這名“志願者”可以不休不眠不吃飯,一天打1萬個電話也不嫌累。


In Dongyun community in east China's Suzhou, limited staff are not able to screen all seven thousand residents, but with the help of AI, they can get a report with categorized information for their investigation in just two hours.

蘇州冬韻社區約有7000餘名居民,哪怕一線工作人員拼盡全力,也無法完成如此巨量的篩查工作。而有了“疫情防控機器人”的助力後,僅用2個多小時,社區就拿到了機器人外呼情況的詳細報告,將具體情況進行分類,提示工作人員進一步追蹤。


Online diagnosis

雲看病


Unless it's absolutely urgent, one better stay away from hospitals during viral outbreaks.

疫情期間,人們通常會選擇遠離醫院場所,除非有緊急情況。


But what if illness strikes? AI can lend a helping hand in the shape of online doctors.

但是如果生病了怎麼辦呢?AI可以助力醫生實現在線看病。


It takes only one minute from the inquiry stage to triage and connecting the patient with an appropriate doctor.

從描述病情、AI智能分診到匹配到相應的醫生,整個過程只用了不到1分鐘的時間。


It can also offer basic treatment advices and health management.

除提供診療意見之外,“雲看病”還涵蓋健康管理等多項服務內容。


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