Baram学校AI垃圾分类夺冠 镜头识别后开桶
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先用镜头识别纸张、塑料和罐子，再打开对应的垃圾桶——Baram的SMK Long Bedian凭这套S.O.R.T.系统，拿下Petrosains Tech4All 2026全国赛冠军。
DayakDaily根据主办方新闻稿报道，比赛于10月12日在吉隆坡Petrosains, The Discovery Centre举行。这所砂拉越学校把校园内的分类需求带到全国赛，凭实际用途明确的作品获得首奖。
这项作品结合Arduino编程、镜头及Teachable Machine等AI工具，目标是减轻学校清洁人员分类垃圾的工作，同时让学生练习把可回收物分开处理。
获奖的是学校研发作品，不代表Baram已全面采用自动垃圾分类设备。报道没有列出实测准确率或扩大使用计划，因此也不能解读成它能识别所有种类的垃圾。
这届全国赛共有六州十所学校参与，汇集40名学生和20名教师。对砂拉越STEM教育而言，作品的具体价值在于把编程和影像识别用来处理校园日常任务，而非只停留在课堂示范。
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