深度学习型工业图像分析

This website uses cookies to improve your browsing experience and for analytics and metrics purposes as outlined and in accordance with our Privacy Policy . You may change your cookie preferences at any time using the Cookie Preference Center.

When you visit any web site, information is often stored or retrieved on your browser, mostly in the form of cookies. This information may be about your browser or device preferences and is primarily used to allow the site to work as you would expect it to. The information does not directly identify you but can provide you with a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more information or to change our default settings. Note that blocking some types of cookies may impact your experience on our site and the services we are able to offer.

These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms.

You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.

These cookies enable us to count visits and traffic sources so we can measure and improve the performance of our website. They help us to know which pages are the most and least popular and see how visitors move around the site.

All information that these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.

These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages.

If you do not allow these cookies then some or all of these services may not function properly.

深度学习技术用于预测图案和完成判断型应用。此先进技术采用人工智能 (AI) 算法，通过实例学习来指导机器人和机器完成人类的自然操作行。

从口袋中的手机到自动驾驶汽车的现实，消费经济已经开始利用深度学习神经网络的力量。同样的技术已在先进的制造实践中用于质量检查和任务自动化应用。在信任人工智能型系统做出的（如缺陷探测等）关键决策之前，还必须对其进行严格的测试和验证。康耐视让这个过程变得简单。

康耐视深度学习是为工厂自动化设计的。其经过现场验证过的算法专为机器视觉优化，并使用图形用户界面，可以在不影响性能的前提下简化神经网络训练。它将人工智能 (AI) 与 In-Sight 或 VisionPro 软件结合，可自动化并简化目前传统机器视觉独自难以解决的复杂元件定位、装配验证、缺陷探测、分类和字符识别应用。

康耐视深度学习解决方案扩大了计算机和相机的检测范围。
以前需要视觉专业知识的应用现在可以由非视觉专家来解决。深度学习技术将开发和编写规则算法的应用开发人员所肩负的逻辑重担转至培训系统的工程师。因此，深度学习使机器视觉变得更易于使用，同时扩展了精确检查极限。