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机器视觉检测的技术瓶颈有哪些?

时间:2018-08-10  来源:本文搜集于网络,由机器视觉检测设备厂家创盈时代整理,欢迎转载,转载注明出处  点击:16

机器视觉在智能图像处理技术的发展中,还存在不少技术瓶颈,综合下来表现在以下几个方面:
In the development of intelligent image processing technology, machine vision still has many technical bottlenecks, which can be summarized in the following aspects:

稳定性,某种处理方法往往在研究和开发中表现良好,但在复杂多变的应用环境中,却不时地出现问题。例如机器视觉检测的人脸识别系统,在目标配合时识别率可高达95%以上,但在实际监控环境下,视觉检测识别率就会大大下降。

Stability, a certain processing method often performs well in research and development, but in complex and changeable application environment, problems arise from time to time. For example, the recognition rate of face recognition system based on machine vision detection can be as high as 95% when the target matches, but in the actual monitoring environment, the recognition rate of vision detection will be greatly reduced.


机器视觉检测设备


实时性,如果视觉检测设备图像的采集速度、处理速度较慢,再加上新近引入的深度学习类算法,加大了系统实时处理的难度,跟不上机器运行和控制的节奏。
Real-time, if the image acquisition speed and processing speed of visual inspection equipment is slow, coupled with the recently introduced depth learning algorithm, the system increases the difficulty of real-time processing, can not keep up with the rhythm of machine operation and control.

准确性,机器视觉检测系统要求图像识别和测量的准确性接近100%,任何微小的误差都有可能带来不可预测的后果。如目标定位的误差会使装配出来的设备不符合要求。
Accuracy, machine vision detection system requires the accuracy of image recognition and measurement close to 100%, any small error may bring unpredictable consequences. For example, the error of target location will make the equipment assembled not meet the requirements.

系统能力,目前的嵌入式图像处理系统,存在芯片的计算能力不足,存储空间有限等问题,常常不能满足运算量较大的图像处理运算,如神经网络的迭代运算,大规模矩阵运算等。
System capability, the current embedded image processing system, there are problems such as chip computing power is insufficient, limited storage space, often can not meet the large amount of calculation of image processing operations, such as neural network iterative operations, large-scale matrix operations.

以上就是目前市场上机器视觉检测常见的几种技术瓶颈,但是也基本上能够满足市场需求,加上技术的更新迭代,相信以上问题也会有相应的解决办法,中国离智能制造2025的脚步又向前卖近了一步。
These are the common technical bottlenecks of machine vision inspection on the market at present, but also basically meet the market demand, coupled with the technical update iteration, I believe that the above problems will also have corresponding solutions, China is a step closer to intelligent manufacturing 2025.

深圳市创盈时代科技有限公司是一家专注于机器视觉,视觉检测设备,CCD光学检测设备,机器视觉检测,视觉方案定制,非标自动化设备的研发生产和销售于一体的国家高新技术企业。

原文地址:http://www.chytime-ccd.com/zhishi/324.html

本文关键字:机器视觉检测技术瓶颈

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