视觉质量检测
概述
视觉质量检测可自动分析生产线上的产品或生产设施中的设备，以使用机器视觉进行质量控制。机器视觉是用于提供基于图像的自动检测的技术和方法。它是一个使用视觉计算技术机械地“看到”沿生产线发生的活动的系统。自动检测系统的组件通常包括照明、照相机或其他图像采集设备、处理器、软件和输出设备。由于其速度、准确性和可重复性，机器视觉在结构化场景的定量和定性测量方面超过了人类视觉。机器视觉系统可以轻松评估人眼无法看到的物体细节，并以更高的可靠性和更少的错误对其进行检查。在生产线上，机器视觉系统每分钟可以可靠且重复地检测成百上千个零件，远远超过人类的检测能力。它还使用人工智能模仿人类水平的智能来区分异常、部分和字符，同时容忍复杂模式中的自然变化。它将人工视觉检查的适应性与计算机系统的速度和可靠性相结合。
适用行业
- 汽车
- 运输
适用功能
- 离散制造
- 产品开发
- 质量保证
市场规模
案例研究.
Case Study
Diverse N Management Practices Generate Value to Farmers
Shannon Gomes, owner of Cedar Basin Corp Consulting, has long been searching for a better way to monitor nitrogen (N) available and provide precise N recommendations. He has tried "all the different nitrogen management tools", with varying results, but has never been satisfied. He is looking for a real-time, location-specific adaptive N recommendation model that accounts for weather, management practices, and field variability.
Case Study
Remotely Control, Monitor and Manage Lighting Systems
Intermatic needed a solution to help their customers drastically reduce costs associated with making sure all billboard lights were on and working properly. The traditional method was costly, time consuming and inefficient as may billboards are located in isolated regions.
Case Study
8x increased productivity with VKS
Before VKS, a teacher would spend a lot of time showing a group of 22 students how to build a set of stairs within a semester of 120 hours. Along with not leaving the teacher much time to provide one-on-one support for each student to properly learn carpentry, it also left a considerable amount of room for error. Key information would be misinterpreted or lost as the class was taught in the typical show-and-tell way.
