计算机视觉
概述
计算机视觉的目的是对计算机进行编程以“理解”图像中的场景或特征。它旨在自动化人类视觉系统可以完成的任务。计算机视觉系统越来越多地用于解决工业检测问题，使检测过程完全自动化并提高其准确性和效率。计算机视觉最常见的应用之一是对微处理器、汽车、食品、药品。它还可以应用于图像中某些对象（例如，人脸）的检测、分割、定位和识别。
案例研究.
Case Study
Railroad Asset Identification using Computer Vision
This customer maintains a railroad network consisting of thousands of miles of track across North America. They are regulated by a primary federal agency for the safe operation and maintenance of their network. One of the many requirements is the consistent posting of signage at various locations of their tracks.The customer began capturing video of their rail network a number of years ago and updates it on a continual basis. The challenge is the ability to watch the video and determine if specific signage is in place and if it is in serviceable condition.
Case Study
Improving Factory Worker Posture
A 49 year old factory worker with long-standing low back pain was referred to a ViMove clinic for assessment and treatment. The worker’s low back pain had been managed and resolved with acupuncture in the past. The patient reported severe low back pain worse in the morning after prolonged rest. He also had trouble straightening up and experienced constant stiffness and pain.
Case Study
A FOG Vision Control Solution for an LED Module Production Line
This manufacturer of LED module bonding machines was in the process of developing large vision machines that comprised 17 industrial PCs (IPCs) in a single machine.They had been testing several IPC brands to identify the ideal one that would improve the stability of their machines. Given the number of IPCs in each machine,having compact IPCs was a major priority for their project.
