使用 Scale Rapid 的注释增强拾放机器人
技术
- 分析与建模 - 机器学习
- 传感器 - 全球定位系统
适用行业
- 水泥
- 电子商务
适用功能
- 维护
- 质量保证
用例
- 自主机器人
- 施工管理
服务
- 系统集成
- 培训
关于客户
Ambi Robotics 是一家为客户提供人工智能驱动的机器人系统的公司，使他们能够扩大运营规模并应对不断增长的供应链需求。他们的技术被用于整个电子商务行业的物流仓库，以自动化提取包裹、扫描条形码并将其发送到正确位置的过程。该公司的机器学习 (ML) 系统不仅负责识别物体及其位置，还负责将机器人手移动到该位置以抓取物体。对于这些客户来说，拾取成功率（机器人成功拾取物体的频率）是最重要的成功标志。
挑战
Ambi Robotics 为客户提供人工智能驱动的机器人系统，使他们能够扩大运营规模并应对不断增长的供应链需求。该公司的机器学习（ML）系统负责识别物体及其位置，并将机器人手移动到该位置以抓取物体。拾取成功率，即机器人成功拾取物体的频率，是成功的最重要标志。然而，Ambi Robotics 在获得高质量数据注释方面面临挑战，这对于改进模型至关重要。最初，该公司在内部管理注释流程，但这种方法无法根据他们所需的数据量进行扩展。在与新客户和新地点合作时，Ambi Robotics 有时会发现拾放成功率较低，仅仅是因为环境看起来不同。提高性能的最佳方法是从新位置挖掘数据，对其进行注释，然后重新训练 ML 模型。然而，该公司缺乏定期处理如此大量数据的基础设施。
解决方案
Ambi Robotics 与 Scale Rapid 合作外包数据注释流程，使他们能够快速获得改进机器学习模型所需的注释。 Scale Rapid 提供了一种简单的分步方法来设置注释流程，使客户可以在几分钟内轻松设置新任务。为了提供高质量的数据，Scale Rapid 通过批量注释将质量评估构建到其管道中。他们生成校准数据集来识别标签说明中的差距，直到客户对数据校准感到满意。校准完成后，Scale Rapid 为客户生产批量产品。 Scale Rapid 还缩短了 Ambi Robotics 的交货时间。虽然 Ambi Robotics 的内部注释流程有时可能需要数周时间，但 Scale Rapid 始终能在 1-2 天内提供可投入生产的结果。 Scale Rapid 提供的结果与其内部注释始终处于同一水平，同时使用强大且可扩展的基础设施生成。
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