男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
China
Home / China / Society

Tech firms help reunite homeless with families

By Li Lei | China Daily | Updated: 2019-06-20 07:59
Share
Share - WeChat

Employees at a homeless shelter in Guangdong province asked for help from a popular news aggregator, toutiao.com, to locate the family of a mentally ill man long stranded at the facility earlier this month.

Using geo positioning, the app, which has millions of followers nationwide, quickly sent out tens of thousands of notifications to users in the southeast of the province to see if anyone knew him. The employees at the Dongguan Relief Station believed the man was from the region. His suspected name as well as those of his parents were included in the message.

Hours later, a call came in saying the man, who had been at the shelter for about 20 months, was their relative Liu Shen, who had gone missing 20 years ago.

Liu is one of many longtime shelter residents who have been reunited with their families, thanks to the assistance of tech firms such as ByteDance, which owns toutiao.com and streaming platform Douyin, and tech giant Baidu.

According to the Ministry of Civil Affairs, toutiao.com has sent out almost 37,000 notifications since the ministry signed up the app in 2016 to help trace people. A total of 7,456 cases have been concluded successfully.

Baidu, a Chinese pioneer in artificial intelligence, launched a program last year with the ministry to identify long-term shelter residents using its facial-recognition technology.

The company has since compared the facial images of more than 200,000 people with a database provided by the ministry and the public security authorities, consisting of the personal data of those reported missing by relatives.

The ministry said almost 6,500 people have been reunited with their families so far, reducing the burden on publicly funded relief stations intended to provide temporary shelter of usually less than 10 days.

The efforts have helped longtime shelter residents - mostly seniors or people with special educational needs who failed to offer adequate information and ended up stranded in the facilities - return home more quickly.

Zhou Da, who oversees the Baidu Foundation and the company's charitable initiatives, said the company's technology has in some instances been more effective than human efforts to identify people.

"The system can even tell the difference between almost all seemingly identical twins," he said.

Fewer stranded residents have helped reduce management risks, slashed public funding by billions of yuan, and helped ease the shelters' pressure against the backdrop of the central government cutting many positions in the government reshuffle early this year.

Lin Jiawei, a social worker at the shelter in Dongguan who oversaw Liu Shen's return, said the support from tech giants had accelerated the home-return process and reduced problems at the centers such as overcrowding and lack of funding.

"Longtime shelter-seekers, mostly seniors with dementia or people with mental problems, have to share rooms in groups of seven or eight, which is worrisome given the limited staff at government funded relief stations," he said.

Lin added that there were almost 150 shelter-seekers whose stay exceeded three months when he began working there in September. But the number was down to about 90 at the end of May, with many sent home with assistance from the tech firms.

The Ministry of Civil Affairs said there were 34,805 people in shelters as of May, compared with almost 50,000 in 2017.

A total of 5 billion yuan ($722 million) in public funds had been saved over the last four years, it said.

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
 
主站蜘蛛池模板: 泸州市| 汾西县| 景洪市| 广东省| 宁津县| 修武县| 灵丘县| 普格县| 高青县| 兰溪市| 达日县| 皋兰县| 安岳县| 城步| 连南| 承德市| 托克托县| 漳州市| 新巴尔虎右旗| 建水县| 郸城县| 广河县| 重庆市| 江孜县| 沂源县| 平凉市| 池州市| 志丹县| 宁国市| 临武县| 普兰县| 黄陵县| 如皋市| 孝义市| 北票市| 镇安县| 彝良县| 内江市| 上饶县| 当雄县| 中方县| 凤山市| 蕲春县| 湛江市| 和政县| 太仆寺旗| 东港市| 武汉市| 玉山县| 上犹县| 淳安县| 海丰县| 沁阳市| 故城县| 华阴市| 宁波市| 大兴区| 弋阳县| 麦盖提县| 边坝县| 凤城市| 盱眙县| 正安县| 永仁县| 旬阳县| 资兴市| 文昌市| 清远市| 堆龙德庆县| 达州市| 惠水县| 五常市| 邵东县| 洪洞县| 玛纳斯县| 昌宁县| 浦城县| 深水埗区| 玉环县| 南城县| 栖霞市| 西充县|