P0926KQ FOXBORO

The quality of 3D data determines the success of automated sorting and sorting solutions.A device can have the smartest system,but without good 3D data to process and rely on,its output will be useless.A good 3D camera requires high resolution and precision,large scan volume and depth of field,and high scan speed.

Other important factors are the ability to suppress ambient light and plug-and-play performance.If the 3D camera used provides all of these capabilities,the intelligent system will have enough data to process the AI and successfully locate each object.The most modern approach to segmentation and localization of AI packages is to use convolutional neural networks,which have come a long way in the past few years.These neural networks can identify packages,letters,and even bags of any shape,texture,and material,as well as their size,location,and orientation.

三维数据的质量决定了自动分选和分选解决方案的成功。一个设备可以拥有最智能的系统，但如果没有良好的3D数据来处理和依赖它，它的输出将是无用的。一个好的三维相机需要高分辨率和精度、大的扫描量和景深以及高的扫描速度。

其他重要因素是抑制环境光和即插即用性能的能力。如果使用的3D相机提供了所有这些功能，智能系统将获得足够的数据来处理人工智能，并成功地定位每个对象。最现代的人工智能包装分割和定位方法是使用卷积神经网络，这在过去几年中取得了很大的进展。这些神经网络可以识别包装、信件，甚至任何形状、纹理和材料的袋子，以及它们的尺寸、位置和方向。