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

这个SBIR第一阶段项目的更广泛的影响/商业潜力源于开发一种针对垃圾的众包解决方案--垃圾是世界上最普遍和最有毒的问题之一。对许多人来说，这是肮脏、令人厌恶的，是其他人的问题需要解决。不幸的是，我们都承受着后果，因为垃圾影响了我们的经济，退化了环境，挫败了社区自豪感，杀死了野生动物，并毒害了食品系统。该项目旨在开发一种移动技术，使任何人都能够识别、绘制地图和收集世界-S垃圾，同时连接到更广泛的相关品牌、城市和学校社区。通过众包数据和清理，收集大量信息的潜力巨大，这些信息可以用于从基础设施改善、资源分配、品牌包装重新设计，甚至个人责任和行为改变的一切。这个项目的智力优势来自于建立一个全球垃圾数据库。要完成这样一项艰巨的任务，一个关键的需要是能够随时随地快速(准确地)识别任何垃圾，即使垃圾处于深度腐烂和腐烂的状态。该项目还旨在将这些信息与其他数据集结合起来，包括位置、时间、学校附近和分水岭。通过利用图像识别和机器学习等技术，该项目将进一步增强众包数据和清理人员收集大量可识别信息的能力。

The broader impact/commercial potential of this SBIR Phase I project stems from developing a crowdsourced solution to 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 aims to develop a mobile technology that empowers anyone to identify, map, and collect the world?s litter, while simultaneously connecting to a broader community of associated brands, cities, schools. By crowdsourcing the data and cleanup, there is great potential in collecting massive amounts of information which can be used for everything from infrastructure improvement, to resource allocation, brand packaging redesign, and even individual responsibility and behavioral change.The intellectual merit of this project is derived from building a global database of litter. And one critical need to achieving such a monumental task is the ability to quickly (and accurately) identify any piece of litter, anytime, anywhere even if the litter is in a deep state of decay and decomposition. This project further aims to integrate that information with other data sets including location, time, proximity to schools, and the watershed. By leveraging technologies such as image recognition and machine learning, the project will further empower the people who are crowdsourcing the data and cleanup to collect a vast amount of identifiable information.