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Amazon Web Services > 实例探究 > Enhancing Photo Analytics Using AWS
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Enhancing Photo Analytics Using AWS

技术
  • 分析与建模 - 计算机视觉软件
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 消费品
适用功能
  • 销售与市场营销
用例
  • 视觉质量检测
服务
  • 云规划/设计/实施服务
挑战
Amplframe, a photography community platform in Taiwan, was facing challenges in managing the increase in website traffic, with 18,000 visits over a period of seven months. The company needed a solution that could efficiently handle the sudden spikes in website traffic during events or holidays. Additionally, they were looking for ways to enhance the user experience by reducing webpage loading time and increasing the website engagement rate.
关于客户
Amplframe is a photography community platform based in Taiwan. Founded in 2016, the platform serves as a hub for avid photographers to list and explore various lenses. The website features photos uploaded by users, which are categorized by different types of lenses. The platform has seen a significant increase in traffic, with 18,000 visits over a period of seven months.
解决方案
Amplframe adopted a range of AWS products and services to address their challenges. They used Amazon Rekognition for image recognition and analysis, which helped in increasing the average website engagement rate. Amazon CloudFront was used for the delivery of content, which significantly cut the webpage loading time, providing a better user experience. To accommodate peaks in website activity, Amplframe ran a combination of Amazon EC2 instances and Amazon RDS. This solution not only supported the increase in website traffic but also decreased the monthly IT production cost and reduced server development time.
运营影响
  • Cuts webpage loading time by 66% with Amazon CloudFront, providing a better user experience
  • Increased average website engagement rate by 37% after adopting Amazon Rekognition
  • Support sudden spikes in website traffic during events or holidays through ease of scalability with Amazon EC2
数量效益
  • Decreased monthly IT production cost by NT$180K with Amazon EC2 and Amazon RDS

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