作品简述
如何精准识别宝宝便便,快速获取宝宝健康情况的一手信息是困扰很多新手妈妈的难题。为了解决这一难题,喂自由组建耶鲁大学背景教授团队,联手中国儿童医院知名专家,于行业内率先推出AI智能便便解码器。通过拍照识别宝宝便便,借由AI智能科技对便便进行实时分析,帮助新手妈妈提供定制化的科学解析报告,生成科学喂养指南及提供在线专家答疑服务。真正实现一拍便解,难题迎刃而解,帮助妈妈实现喂养自由,目前AI智能便便解码器已累计百万妈妈使用。
用户价值
宝宝的便便健康是肠胃状态的“晴雨表”。新手父母普遍缺乏经验,不能迅速、准确地识别宝宝健康状况。同时,通过使用AI智能便便解码器,可以帮助一拍解答便便状况,从而掌握健康信号,助力宝宝达成“黄金便便”,妈妈更安心。
商业表现
自上线来,AI智能便便解码器累计突破150万用户访问,拥有近40万便便样本照片,小程序后台收到上百条优质反馈,深得妈妈们的信赖。同时,在商业领域获得了2021年十四届金投赏商业创意奖,相关研究论文被现有欧洲儿科胃肠病学肝病学和营养协会(ESPGHAN)收录及海报展示。
社会影响
通过大数据结合AI科技,改变了市面上母婴工具模式,准确率更高,联合专家共创使之更权威有效,进一步推动了行业的发展。上线后还推出艺术便便项目,得到多方优质市场反馈。AI智能便便解码器随着喂自由小程序于近期一起走进进博会,获得多家母婴媒体及机构报道。
团队组织
该项目从前期研发、中期执行到后期验收、有近50名成员共同协作,由爱他美喂自由消费者运营团队、爱他美市场部门联合达能科研开放中心共同协作,以解决妈妈的痛点为核心,实现百万妈妈喂养自由。
流程方法
根据研究,AI智能解码器通过识别宝宝便便手机图片,运用深度卷积神经网络 (CNN) 算法分析宝宝神经系统,通过6083份有效图片样本进行训练后,在689份有效图片样本集中进行测试,从测试集的识别结果和医生对同样照片打分的结果匹配准确率达到95.4%,很大程度上实现了对于宝宝便便状态得精准识别。相关研究论文被现有欧洲儿科胃肠病学肝病学和营养协会(ESPGHAN)收录。
项目投入
该项目从设计立项到交付,共投入资金数十万,历时共计4个月左右。
达成情况
项目初心是通过科学和智能的方式,解决新手妈妈的不能精准识别宝宝便便,了解宝宝健康状况的喂养难题。从项目阶段性结果和来看,爱他美AI智能便便解码器目前累计百万妈妈使用,符合年轻一代父母对个性化、数字化的一站式育儿服务要求,也为品牌提升美誉度、巩固用户忠诚度提供了巨大帮助。
Project Description
How to accurately evaluate the stool of children to quickly acquire the first-hand information about their physical conditions is a problem nagging many new mothers. To solve this problem, Parenting Hub built a professor team with members from Yale and took the lead in releasing the AI stool tracker in the industry by working with well-known experts from Chinese children’s hospitals. It evaluates the stool of children by its photos, analyzes the stool in real time by AI technology, helps new mothers by providing custom-made scientific analysis reports, generates guidance on scientific baby feeding and has experts answering questions online. It truly analyzes stool by its photos to solve the problem smoothly. It helps new mothers realize scientific baby feeding. At present, the AI stool tracker has been used by millions of mothers.
User Value
The stool of children is a barometer of their gastrointestinal conditions. As new parents usually lack experience, they can’t evaluate the physical conditions of children quickly and accurately. However, with the AI stool tracker, they can evaluate stool conditions by taking photos of stool, thus mastering the physical conditions of children. It can help babies do “gold stool” and reassure their mothers.
Business Performance
Since it was released, the AI stool tracker was visited by more than 1.5 million users. With nearly 400 thousand stool photos and more than 100 pieces of good feedback, the mini-program is trusted by mothers. At the same time, it was a winner of the 2021 14th ROI Awards; its relevant research papers were recorded by ESPGHAN and also exhibited on posters.
Social Impact
It changed the maternal and infant tool mode in the market by combining big data with AI technology. It is more accurate, more authoritative and more efficient as it was created by cooperating with experts. So, it further promoted industrial development. After it was released, it also launched the artistic stool project which got excellent market feedback in many ways. With the Parenting Hub mini-program, the AI stool tracker was exhibited at China International Import Expo recently and was reported by many maternal and infant media and organizations.
Team Structure
During the development at the early stage, the execution at the middle stage and the acceptance inspection at the later stage, nearly 50 members participated in the project together. The Aptamil Parenting Hub Consumer Operation Team, the Aptamil Market Department and the Danone Open Scientific Research Center worked together and centered on solving the pain point for mothers to help millions of mothers achieve scientific baby feeding.
Flow
According to research, the AI stool tracker evaluates stool photos taken by mobile phones and adopts the CNN algorithm to analyze the nervous system of babies. After the training based on 6,083 effective picture samples, it tested 689 effective picture samples. According to the marks given by doctors on the same picture samples, the accuracy rate of the test results reached 95.4%. Therefore, it accurately evaluated the stool of children to a great extent. Its relevant research papers were recorded by ESPGHAN.
Project Investment
From initiation to final delivery, the project invested hundreds of thousands of yuan and took about four months.
Project Achievements
The aim of this project is to in a scientific and intelligent way solve the baby feeding problem that new mothers can’t know the physical conditions of their babies by accurately evaluating their stool. At present, the Aptamil AI stool tracker has been used by millions of mothers. It meets the needs of younger parents for one-stop personalized digital parenting. Moreover, it enhanced the brand reputation and boosted consumer loyalty.
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