Updating server inventory database through image recognition

通过图像识别更新服务器库存数据库

• 批准号: 485507-2015
• 负责人: Lingras, Pawan
• 金额: $ 1.82万
• 依托单位: Saint Mary's University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585008
• 关键词: Updating; server; inventory; database; through

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.

Missing Link Technologies管理由大量机架组成的数据中心 通信服务器。为了维护服务器库存，专家需要进行物理筛选 并对服务器的移动做出决策。该公司已经开发了软件来简化 决策过程。然而，该软件需要现有库存的准确数据库。该公司 提出部署一个采集网络设备机架图像的系统，该系统使 关于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，最终可能会在机器人系统的帮助下实现自动化。这个项目将 设计并实现了一个模块，对采集到的图像进行分析，总结服务器的内容 将摘要放在机架上并存储在数据库中。该数据库还将包括一个图像库，它由CRISP 以及这些机架上常见的设备的清晰图像。货架上的物品将是 与图像库中的设备匹配。该公司的研究表明，没有其他 市面上的同类产品。拟议的系统将使他们具有竞争优势， 提高生产效率和高效的设备管理。