SBIR Phase II: Building a Global Community to Crowdsource-Clean the Planet

SBIR 第二阶段：建立一个众包清洁地球的全球社区

• 批准号: 1853170
• 负责人: Jeff Kirschner
• 金额: $ 75万
• 依托单位: Litterati Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1853170&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Building; Global

This SBIR Phase II project focuses on litter - one of the world's most pervasive and toxic problems. To many, it's dirty, disgusting, and someone else's problem to solve. Unfortunately, we all suffer the consequences, as litter impacts our economy, degrades the environment, demoralizes community pride, kills wildlife, and poisons the food system. This project builds on the accomplishments of an SBIR Phase I project that developed a mobile technology empowering anyone to identify, map, and collect the world's litter, while simultaneously connecting to a broader community of associated brands, cities, schools. The company has integrated image recognition and machine learning algorithms into its software to advance the crowdsourcing of litter data and cleanup activities. This advancement will allow for the identification of litter even if the item is in a deep state of decay and decomposition. This project also aims to continue building the Global Database of Litter, a technology platform that integrates the company's litter taxonomic classification with other data sets including location, time, retail locations, and the watershed. This data provides great potential to improve municipal infrastructure, resource allocation, brand packaging redesign, and individual responsibility that promotes positive behavioral change. Like the National Science Foundation, this project aims to promote the progress of science and advance our national health, prosperity, and welfare.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

SBIR第二阶段项目的重点是垃圾-世界上最普遍和有毒的问题之一。对许多人来说，这是肮脏的，恶心的，别人的问题要解决。不幸的是，我们都遭受了后果，因为垃圾影响我们的经济，恶化环境，挫伤社区自豪感，杀死野生动物，毒害食品系统。该项目建立在SBIR第一阶段项目的成就之上，该项目开发了一种移动的技术，使任何人都能够识别、绘制和收集世界上的垃圾，同时连接到更广泛的相关品牌、城市和学校社区。该公司已将图像识别和机器学习算法集成到其软件中，以推进垃圾数据和清理活动的众包。这一进步将允许识别垃圾，即使该项目处于腐烂和分解的深度状态。该项目还旨在继续建立全球垃圾数据库，这是一个技术平台，将公司的垃圾分类与其他数据集（包括位置，时间，零售地点和流域）相结合。这些数据为改善市政基础设施、资源分配、品牌包装重新设计和促进积极行为改变的个人责任提供了巨大的潜力。与美国国家科学基金会一样，该项目旨在促进科学进步，促进我们国家的健康、繁荣和福利。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。