Shanghai Daoqin Plastics Co., Ltd.

        自7 month Shanghai 开始推行“ history upper most waste classification measures ”以, waste classification formed very more day active “必修课”. month, utilizing new technology, new 模式推进 waste classification 探索不断涌现.

         waste issues non China has, very more development China 家都备受困扰. day front, in 一篇博客 in 透露, is decrease/reduce degree 尼西亚 plastics waste, degree 尼西亚一家创业 company use upper 谷歌 人工智 can technology.

        据 introduction, plastics waste is degree 尼西亚面临 large difficult 题. this 国家拥 has 5万公里 long 海岸线, this also 普遍缺乏 waste 处理 公共意识, will very more waste large 海.

        印 degree 尼西亚创业 company Gringgo就希望借助 technology force amount for this issues.

        Gringgo首席 technology 官兼联 combined 创始人费布里亚 Di ·普拉塔玛 introduction, degree 尼西亚 形 貌 effect/influence, is can recycling material 定价十 separation difficult. degree 尼西亚包含17000 岛屿, its in has 5 main/primary 岛屿, large more recycling utilizing 设施都位于爪哇岛. this make other can recycling material cost increase, therefore recycling value relatively low material again classification, most 终以污染 ring is 代价.

         not only 如此, in degree 尼西亚, ring 卫工人 路线 and as usually 不太规律, but also 他们也缺乏 related Knowledge and 专业技 can 精确辨别 which material product has recycling value. this factors for degree 尼西亚 waste recycling rate and ring 卫工人 生计 tool has very large negative effect/influence.

        2017 year, Gringgo published and waste related soft parts. its in soft parts ring 卫工人追踪 recycling material type type and amount, also can toward recommendation more add has 规划 路线 节省 time, achieve amount recycling material product, belt/tape in 收入. 普拉塔玛 introduction, published this soft parts year inner, Gringgo in Indonesia 首 试点村庄 will waste recycling rate improves 35%.

        今 year 早 时候, Gringgo by is “谷歌AI effect/influence force 挑战赛” 20 受资助者之一. “我们想 to can 创建一 图像识别工 tool, for different waste classification, 并判断 its value, 进而帮助 improves plastics waste recycling rate. ”普拉塔玛说.

         in 谷歌 帮助 lower, Gringgo positive and 另一家创业 company combined as, use machine 学习平台TensorFlow R&D 图像识别工 tool. target/goal is let ring 卫工人 more good for waste analysis and classification, amount it 们 价 value.

         has 人工智 can add 持, ring 卫工人 will can is waste 拍照, through 图像识别判断 related material product and its value. “ this will ring 卫工人 understanding different recycling material market value, 帮助他们 optimization selection, will most large 化. most will ring 卫工人以 more high efficiency recycling and waste, improves recycling utilizing rate. ”普拉塔玛说.

        普拉塔玛 introduction, Gringgo target/goal is optimization 人工智 can type, make it in 经济角 degree more add sustainable, achieve 广泛推广 application.

        “我们 versus 信, 人工智 can can solution this most difficult and ring issues —— ratio medical, forecast, ring 境保护, or 文化保护. ”谷歌AI negative 责人, deep research 员杰夫· Di introduction, already 经启动“ use AI造福社会” project, utilizing machine related research, for 社会, 人道主义事业 and ring issues generate effect/influence.