技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 事件驱动型应用
适用行业
- 食品与饮料
- 医疗保健和医院
用例
- 现场人员安全管理
- 篡改检测
服务
- 系统集成
关于客户
Yuka 是一款移动应用程序,允许用户扫描食品和化妆品以了解产品的相关健康影响。该应用程序使用 OCR 和机器学习从上传的成分列表图像中提取数据,如果是食品,则从营养表中提取数据。然后,该信息用于计算给定产品的健康评分。 Yuka 的数据库内容广泛,包含超过 400 万种产品,并且还在快速增长,每天新增约 1,200 种新产品。该公司的目标是实时提供新产品对健康的影响,或者在产品添加到数据库后 2-3 小时内提供。
挑战
Yuka 是一款提供食品和化妆品对健康影响信息的移动应用程序,在管理其快速增长的数据库方面面临着重大挑战。该数据库已包含超过 400 万种产品,并以每天约 1,200 种新产品的速度扩展。 Yuka 的小团队无法手动审查添加到平台的每个新产品,这个过程通常需要多个转录任务。该应用程序最初使用 OCR 扫描产品图像以获取营养信息和成分,但此过程并不总是准确的。 OCR 难以处理光照不一致、障碍物或不规则文本表面的图像。结果,提交给 Yuka 的大约 60% 的图像需要外包给人工注释者。对于 Yuka 的小团队来说,这是一项艰巨的任务,特别是考虑到他们的目标是在产品添加到数据库后 2-3 小时内提供产品的健康评分。
解决方案
Yuka 求助于 Scale Rapid 来克服快速准确转录产品信息的挑战。当 OCR 无法在图像上实现足够的检测率时,Yuka 将图像发送到 Scale Rapid,由人工注释者进行手动转录。 Yuka 通常每天向 Scale Rapid 发送数百或数千张此类图像。返回转录数据后,Yuka 将文本与现有的已知成分和营养信息词典进行比较。如果错误率足够低,该产品就会被集成到他们的数据库中并计算健康评级。 Scale Rapid 在短时间内处理大量数据的能力对于 Yuka 来说至关重要。该服务始终如一地在每次请求的 2-3 小时内以多种语言提供准确的转录,包括英语、法语、德语、意大利语和西班牙语。
运营影响
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