基于最优形态学滤波的面料缝纫加工检测

为了对服装加工质量进行自动检测,提出了一种对针织面料缝纫加工的疵点进行自动检验的方法。该方法首先基于遗传算法进行结构元素的寻优,然后通过图像的数学形态学滤波处理来消除面料组织的正常纹理对图像分割的干扰;最后利用灰度阈值实现图像分割来得到表现缝线和加工疵点特征的二值图像。实验结果表明,该方法是有效的。     

AR-based deep learning for real-time inspection of cable brackets in aircraft

In the process of aircraft assembly, there exist numerous and ubiquitous cable brackets that shall be installed on frames and subsequently need to be manually verified with CAD models. Such a task is usually performed by special operators, hence is time-consuming, labor-intensive, and error-prone. In order to save the inspection time and increase the reliability of results, many researchers attempt to develop intelligent inspection systems using robotic, AR, or AI technologies. However, there is no comprehensive method to achieve enough portability, intelligence, efficiency, and accuracy while providing intuitive task assistance for inspectors in real time. In this paper, a combined AR+AI system is introduced to assist brackets inspection in a more intelligent yet efficient manner. Especially, AR-based Mask R-CNN is proposed by skillfully integrating markerless AR into deep learning-based instance segmentation to generate more accurate and fewer region proposals, and thus alleviates the computation load of the deep learning program. Based on this, brackets segmentation can be performed robustly and efficiently on mobile devices such as smartphones or tablets. By using the proposed system, CAD model checking can be automatically performed between the segmented physical brackets and the corresponding virtual brackets rendered by AR in real time. Furthermore, the inspection results can be directly projected on the corresponding physical brackets for the convenience of maintenance. To verify the feasibility of the proposed method, experiments are carried out on a full-scale mock-up of C919 aircraft main landing gear cabin. The experimental results indicate that the inspection accuracy is up to 97.1%. Finally, the system has been deployed in the real C919 aircraft final-assembly workshop. The preliminary evaluation reveals that the proposed real-time AR-assisted intelligent inspection approach is effective and promising for large-scale industrial applications.     

Improved method of estimating the product quality after multiple inspections

A complex product is often inspected more than once in a sequential manner to ensure the product’s quality. Based on the number of defects discovered during each round of inspection process, we can estimate the number of defects still remaining in the product. For each defect, the probability that the defect will be detected during each inspection cycle is usually assumed to be a known ‘constant’. However, in many practical situations, some defects are easily detected, while others are much more difficult to identify. In this paper, we propose a ‘beta-geometric’ inspection model in which the heterogeneity in detection probability is described by a beta distribution. In a numerical study, we show that our more realistic inspection model clearly outperforms traditional estimation methods that are based on the assumption of a constant detection probability.     

安全储粮智能决策支持系统

安全储粮智能决策支持系统是适用于大中型粮食仓库的分布式计算机应用系统。它包括微机粮情检测与通风控制,粮情分析决策,储粮害虫图象信息检索等几个组成部分。本文首先介绍该系统结构概况,然后重点介绍在粮情分析决策中面向对象技术的应用。     

通信网络安全验收技术体系研究

该文采用分层模型,对通信网络安全验收技术体系进行深入研究,明确工程建设各个阶安全目标,分析了通信网络各层安全因素及安全要求,建立了安全验收技术体系框架,为通信网络工程安全验收工作提供理论指导,进而推动通信工程安全验收工作的规范化、流程化和标准化.     

煤矿机电设备闭环点检信息采集系统设计

提出了一种基于Zigbee无线传感器网络的煤矿机电设备闭环点检信息采集系统设计方案,重点介绍了该系统中多星型网络拓扑结构的设计及无线传感器网络节点和智能手持设备的软硬件设计。测试结果表明,该系统有效地完成了不同区域内若干无线传感器网络节点数据的采集功能,且具有较好的稳定性。     

基于机器视觉的高密度电路板缺陷检测系统

为减少高密度电路板的缺陷误报率,研究一种新型自动光学检测系统(AOI);系统采用自行研制的多色LED照明系统,利用机器视觉获取被测PCB的图像,通过图像处理软件系统快速准确地识别出各种缺陷;系统利用获取的彩色图像信息,根据各种缺陷的特征信息不同,采用OPENCV对各种缺陷的检测算法进行改进,使得系统性能有很大改进;对30块同类HDI型PCB的36300个检测点进行测试,测试结果证明,系统PCB缺陷的检出率高达99.87%,误报率只有0.32%。     

An index-split Bloom filter for deep packet inspection

Deep packet inspection(DPI)scans both packet headers and payloads to search for predefined signatures.As link rates and traffc volumes of Internet are constantly growing,DPI is facing the high performance challenge of how to achieve line-speed packet processing with limited embedded memory.The recent trie bitmap content analyzer(TriBiCa)suffers from high update overhead and many false positive memory accesses,while the shared-node fast hash table(SFHT)suffers from high update overhead and large memory requi...     

Anisotropic diffusion with generalized diffusion coefficient function for defect detection in low-contrast surface images

In this paper, an anisotropic diffusion model with a generalized diffusion coefficient function is presented for defect detection in low-contrast surface images and, especially, aims at material surfaces found in liquid crystal display (LCD) manufacturing. A defect embedded in a low-contrast surface image is extremely difficult to detect, because the intensity difference between the unevenly illuminated background and the defective region is hardly observable and no clear edges are present between the defect and its surroundings.The proposed anisotropic diffusion model provides a generalized diffusion mechanism that can flexibly change the curve of the diffusion coefficient function. It adaptively carries out a smoothing process for faultless areas and performs a sharpening process for defect areas in an image. An entropy criterion is proposed as the performance measure of the diffused image and then a stochastic evolutionary computation algorithm, particle swarm optimization (PSO), is applied to automatically determine the best parameter values of the generalized diffusion coefficient function. Experimental results have shown that the proposed method can effectively and efficiently detect small defects in various low-contrast surface images.     

博物馆智能投币控制系统设计

主要介绍了博物馆智能投币系统设计的具体方案。其适用于无人操作以投币方式触发控制周边设备。主要通过涡流传感器对投入硬币币值的检测及真假币判断,并由此产生相关控制信号来模拟开关动作或控制周边强电设备,使游客能够自主参与各种互动环节。