Updating server inventory database through image recognition

Missing Link Technologies管理由大量机架组成的数据中心， 通信服务器。为了维护服务器的库存，专家需要在物理上筛选 并决定服务器的移动。该公司开发了软件，以简化 决策过程然而，该软件需要现有库存的准确数据库。公司 建议部署一个系统来获取网络设备机架的图像，该系统使 新设备可用货架的建议。图像采集可以由人来完成 拍摄货架的图像，并且最终可以在机器人系统的帮助下自动化。该项目将 设计并实现了一个模块，该模块将对采集到的图像进行分析，以总结服务器的内容 并将摘要存储在数据库中。该数据库还将包括一个图像库， 以及这些机架上常见的设备的清晰图像。货架上的物品将 与图像库中的设备相匹配该公司的研究表明，没有其他 市场上的同类产品。拟议的系统将使他们具有竞争优势， 提高生产率和设备的有效管理。

Missing Link Technologies manages data centers consisting of a large number of racks consisting of communication servers. In order to maintain the inventory of servers, an expert needs to physically sift through the racks and make decisions on movements of servers. The company has developed software to simplify the decision process. However, the software needs an accurate database of the existing inventory. The company proposes to deploy a system to acquire images of racks of networking equipment and the system makes recommendations on available shelves for new equipment. The image acquisition can be done by a human taking images of the racks and may eventually be automated with the help of a robotic system. This project will design and implement a module that will analyze the acquired images to summarize the content of the server racks and store the summaries in a database. The database will also include an image library consisting of crisp and clear images of the equipment that is commonly found on these racks. The contents of the racks will be matched against the equipment in the image library. The company's research shows that there is no other comparable product on the market. The proposed system will give them a competitive advantage with an increased productivity and efficient management of equipment.