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Revolutionizing Cellar Management with IoT: A Case Study on CellarEye, Inc.
技术
- 分析与建模 - 计算机视觉软件
- 功能应用 - 库存管理系统
适用行业
- 食品与饮料
适用功能
- 仓库和库存管理
用例
- 计算机视觉
- 物体检测
挑战
CellarEye, Inc. 是一家致力于利用最先进的计算机视觉 (CV) 和人工智能 (AI) 技术彻底改变私人和专业葡萄酒收藏管理的公司。他们的目标是提供一个无缝管理系统，自动跟踪酒窖中的每个酒瓶，将品牌和位置存储到库存工具中，无需手动输入。然而，CellarEye 团队在实现其愿景方面面临着重大挑战。他们需要开发一个可靠的对象检测模型，以识别和跟踪酒瓶在库存中的登记和移除情况。拥有数千瓶酒的酒窖环境呈现出一个复杂的场景，有许多边缘情况。该公司最初因注释错误或不一致而苦苦挣扎，这使得实现超过 80% 的准确率成为一项挑战。他们需要一种更好的方法来检测数据问题，了解模型故障，并使机器学习 (ML) 团队能够与注释团队协作，更快地发现标签错误。
关于客户
CellarEye, Inc. 是一家致力于彻底改变私人和专业葡萄酒收藏管理体验的公司。他们的目标是通过提供对葡萄酒更好、更广泛的了解，让更多人更容易接触到葡萄酒。为了实现这一目标，他们利用最先进的计算机视觉 (CV) 和人工智能 (AI) 技术来提供无缝管理系统。该系统自动跟踪酒窖中的每个酒瓶，将品牌和位置存储到库存工具中，无需手动输入。该公司致力于克服复杂的酒窖环境以及管理数千瓶酒所带来的众多边缘情况所带来的挑战。
解决方案
为了克服挑战，CellarEye 团队转向了 Scale Nucleus。该工具使他们能够识别模型在哪些地方表现不佳以及标签可能在哪些地方不正确。借助 Nucleus，CellarEye 的团队可以查询自定义元数据上的标记和未标记数据，可视化模型预测以及真实注释，并按交集比并集 (IoU) 等错误指标对结果进行排序。他们还可以查看高置信度的误报预测，并使用 Nucleus 的内置注释编辑器修复和导出更正的标签。该解决方案提供了一种更高效、更准确的方法来管理跟踪和管理酒窖中酒瓶的复杂任务。通过将 Scale Nucleus 集成到他们的系统中，CellarEye 能够显着提高其对象检测模型的准确性和可靠性，从而增强其地窖管理解决方案。
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