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AI-enabled food waste differentiation for at-home compost nutrients estimation

AI-enabled food waste differentiation for at-home compost nutrients estimation
基于人工智能的食物垃圾区分,用于家庭堆肥营养成分估算
批准号:
576912-2022
负责人:
Wang, GuanghuiG
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
翻译
加拿大是世界上食物浪费最多的国家之一,每年人均浪费或损失约396公斤食物。在家将食物垃圾直接转化为有机堆肥是解决食物垃圾危机的绝佳方法。该项目的主要目标是使用家用堆肥机将家庭食物垃圾数字化,以实现可持续的未来。通过探索人工智能的最新发展,该项目将开发专门的机器学习算法,以检测、分割和分类厨房产生的各种食物垃圾,使每个人都可以使用一个简单的移动应用程序立即估计所产生的堆肥的质量和营养成分。该项目将与VCycene公司合作,VCycene公司是一家清洁技术公司,致力于为食物垃圾问题提供可持续的解决方案。除了现金捐助外,VCycene还承诺为该项目提供大量实物捐助,包括一个数据收集和注释团队以及一个模型部署和移动应用程序开发团队。他们将利用自己的人脉和专业知识为项目的成功提供支持和保证。提出的解决方案在技术上是新颖的,专门用于解决食物垃圾的检测、分割和分类问题。该项目将为食品垃圾处理提供更方便、更经济的解决方案。如果成功,它将产生重大的社会影响,改变目前食物垃圾管理的做法,显著减少碳排放,实现加拿大在《巴黎协定》中的目标。
英文摘要
Canada is one of the top food waste generators in the world, with about 396 kilograms of food wasted or lost per capita every year. Turning food waste directly into organic compost at home is an excellent way to solve the food waste crisis. The main goal of this project is to digitalize food waste at home for a sustainable future using at-home composters. By exploring state-of-the-art development of artificial intelligence, the project will develop dedicated machine learning algorithms to detect, segment, and classify various food waste generated in the kitchen, making it possible for everyone to immediately estimate the quality and nutrients of the generated compost using a simple mobile App.The project will collaborate with VCycene Inc., a cleantech company dedicated to providing sustainable solutions to the food-waste problem. In addition to the cash contribution, VCycene has committed substantial in-kind contributions to this project, including a team for data collection and annotation and a team for model deployment and mobile App development. They will use their connection and expertise to provide support and guarantee the success of this project.The proposed solution is technically novel and specifically designed to solve the problem of food waste detection, segmentation, and classification. The project will provide a more convenient and economical solution for food waste processing. If successful, it will make substantial societal impacts and change the current practice of food waste management, significantly cutting down our carbon emissions and meeting Canada's goals for the Paris Agreement.
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  • 批准号:
    576612-2022
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $1.82万
  • 财政年份:
    2022
  • 负责人:
    Wang, GuanghuiG
  • 依托单位:
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  • 批准号:
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  • 项目类别:
    Alliance Grants
  • 资助金额:
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  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
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