Novanta 旗下子公司

白皮书:避免医疗机器视觉项目陷阱的 5 种主要方法

发布时间:2021-11-11

Many people we talk to have had some exposure to a machine vision project in the past. Some
of them express dissatisfaction with their experience. We typically find this is due to the final
result not matching their initial expectations. In addition, often the level effort required to
properly execute the project was not appropriately estimated at the outset.

Taking on a full-scale machine vision project can be overwhelming. Our recommendation is to
work with a machine vision expert to determine the amount of engineering resources required
up front to fully support the project. Make sure your internal engineering staff has the necessary
bandwidth, or work with a dedicated machine vision company that has the engineering
resources necessary to support the project requirements. Follow these general guidelines:

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