Automatic Quality Inspection of Bakery Products Based on Shape and Color Information

An automatic intelligent system for the colour and texture inspection of bakery products is proposed.In this system,advance classification technique featuring Support Vector Machine and biologically inspired HMAX based shape descriptor integrated with biologically plausible RGB Opponent-Colour-Channel Descriptor is used to classify bakery products to their respective classes based on the shape and based on their colour referring to different baking durations. The results of this paper are compared with other methods for the automatic bakery products inspection. It is discovered that biologically inspired computer vision models performs accurately and efficiently as compared to the computer vision models which are not biologically plausible,in the bakery products quality inspection. It is also discovered that the One Versus One SVM and Directed Acyclic Graph SVM acquired the maximum accurate classification rate. The proposed method acquired classification accuracy of 95% and 100% for the biscuit shape and biscuit colour recognition,respectively. The proposed method is also consistently stable and invariant. This shows that the biologically inspired computer vision models have the capability to replace existing inspection methods as more reliable and accurate alternative.

Study on Microstructure and Properties of TIG Welded Joint of TC2 Titanium Alloy and Quality Inspection

TIG welding experiments of TC2 titanium alloy sheet was carried out,and the well-formed weld was obtained.After welding process,the cross-section microstructure,mechanical properties,fracture morphology and quality inspection of the joint were studied.The results show that the microstructure of the weld consists of a large number of acicularα′andβblock.The microhardness curve shows that the microhardness value in the fusion zone(FZ)of the joint is significantly higher than that in the heat affected zone(HAZ)and the base metal(BM),and the microhardness of the base metal is the lowest.The tensile strength of the joint is equivalent to that of the base metal,and the fracture morphology shows that the fracture mechanism of the joint is mixed ductile-brittle fracture mode.The weld quality is excellent through chemical inspection,penetrant inspection and X-ray inspection.

Automated Visual Inspection System for Specifying Brick Quality

Automated visual inspection system has been developed to specify brick quality and the accepting of the bricks in a production line. This system is based on CMOS web-camera placed in manufacture line. Depending on diameters, area, perimeter and cracks of a brick, a strong algorithm has been developed, and this algorithm is created to befit the required for measuring bricks quality. The quality is measured by fuzzy system which can give percent accepting to a brick under the test. Fuzzy reasoning gives the system more reliability than other inspection system.

Numerical Analysis of Quality Inspection of Anchorage System

Sonoprobe method has been applied in non-destructive inspection of anchorage project. The fundament is that dynamic transient excitation causes the elastic vibration of an anchor bar, and flaws can be estimated or deduced by determining transient response of the anchor bar. FEA numeric solution of hyperbolic equation indicates that deductions must comply with acoustic parameters such as velocity of sound, vibration range, wave shape etc when inspecting interior flaws in the grout of an anchor bar. Based on wavelet packet analysis, the energy eigenvector is a flaw vector, which could be regarded as the basis in the nondestructive inspection of anchors. As a non-linear dynamical system, artifical neural networks dealing with quality inspection of gray system have been proved efficient.

On-line quality inspection in laser blank welding using ART2 neural network

Laser blank welding is becoming more and more important in the automotive industry and the quality of the weld is critical for a successful application. A fully automated solution is required to inspect the quality of the blanks. This paper presents a vision inspection system with a CMOS camera which uses ART2 network to inspect the defects on-line to obtain the geometry and the quality of the weld seam. The neural network ART2 has the capability of self-learning fiom the environment. It can distinguish the defects that have been learned before and give new outputs for new defects. So ART2 network is suitable for weld quality inspection in laser blank welding. Additionally, a CO2 laser is used for the blank butt-welding.

Image Quality Improvement for Underwater Visual Inspections of Nuclear Power Plants

Visual inspection of the key components of nuclear power plants(NPPs)is important for NPP operation and maintenance. However,the underwater environment and existing radiation will lead to image degradation,thus making it difficult to identify surface defects. In this study,a method for improving the quality of underwater images is proposed.By analyzing the degradation characteristics of underwater detection image,the image enhancement technology is used to improve the color richness of the image,and then the improved dark channel prior(DCP)algorithm is used to restore it. By modifying the estimation formula of transmittance and background light,the correction of insufficient brightness in DCP restored image is realized. The proposed method is compared with other state-of-the-art methods. The results show that the proposed method can achieve higher scores and improve the image quality by correcting the color and restoring local details,thus effectively enhancing the reliability of visual inspection of NPPs.

National Quality Supervision & Inspection Center for Refractories

National Quality Supervision ＆ Inspection Center for Refractories （NRQS） was set up in 1986 and was authorized in 1990 by State Bureau of Quality and Technical Supervision （SBQTS） as the state supervision ＆ inspection center （Certificate SBQTS No. 101）. In 1993, NRQS was granted Import ＆ Export Authorized Laboratory for national refractories by the State Administration for Entry Exit Inspection and Quarantine （Certificate No. 5302）. In 1995, NRQS was granted the national testing organization by State Committee of Science ＆ Technology and SBQTS. In September 2000,

Digital Quality Inspection

During 2001 and 2005, 1,440,000,000 people got entry-exit quarantine and8,186,000 people were quarantined infectious disease. 675,000 patients different diseases were foundand control measures were taken for 1,908 IV infectors, 5,093 tubercular, 14,000 venereal patientsand infectors, 28,000 viral hepatitis infectors.

Comprehensive Management Strategy for Tunnel Construction Quality Inspection and Monitoring

With the increase in the number and scale of tunnel projects in China in recent years,the comprehensive management for quality inspection and monitoring measurement in the tunnel construction process is receiving more and more attention.Based on this,this paper analyzes the comprehensive management of quality inspection and monitoring during tunnel construction to ensure the quality of tunnel construction.

Research on the Method of Balance Sheet Quality Inspection based on the Ford Law

This paper based on Benford＇s Law （Benford Law）, the Shanghai stock exchange 15 listed bank balance sheets for the past 5 years data for the study sample, results show that the model in the inspection report can quantify the quality in the process of accounting information quality comparison and has the outstanding advantages of simple, clear, this paper focuses on the Benford＇s law of balance sheet quality inspection method based on in our country and how to test the quality of balance sheets in the introduction and promotion.

Automated fabric inspection with the USTER brand Technical textiles show to feature latest technology for quality assurance

Automated fabric inspection with the USTER brand In many areas of primary textiles, USTER is a watchword for quality. From fiber to yarn, producers worldwide trust the USTER brand to help them deliver the quality their customers demand and optimize their operations. Now, USTER has expanded its technology to cover fabric production, with worldclass systems for automated fabric inspection which guarantee consistent and measurable quality.

Water Quality Microbiological Inspection and Quality Control Technology

People’s lives are strongly linked to the quality of their drinking water.The quality of drinking water can be successfully ensured by testing microorganisms in water quality samples and examining their unqualified variables.Many urban residents’drinking water contains a variety of microorganisms,which will have a direct impact on the quality of the water,and all microorganisms will offer a health risk.As a result,steps should be taken to eliminate germs.As a result,the focus of this article is on water quality microbiological inspection and quality control technology.

Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses

With the rapid development of information technologies such as digital twin, extended reality, and blockchain,the hype around "metaverse" is increasing at astronomical speed. However, much attention has been paid to its entertainment and social functions. Considering the openness and interoperability of metaverses, the market of quality inspection promises explosive growth. In this paper, taking advantage of metaverses, we first propose the concept of Automated Quality Inspection(Auto QI), which performs integrated inspection covering the entire manufacturing process, including Quality of Materials, Quality of Manufacturing(Qo M), Quality of Products, Quality of Processes(Qo P), Quality of Systems, and Quality of Services(Qo S). Based on the scenarios engineering theory, we discuss how to perform interactions between metaverses and the physical world for virtual design instruction and physical validation feedback. Then we introduce a bottomup inspection device development workflow with productivity tools offered by metaverses, making development more effective and efficient than ever. As the core of quality inspection,we propose Quality Transformers to complete detection task,while federated learning is integrated to regulate data sharing.In summary, we point out the development directions of quality inspection under metaverse tide.

National Quahty Supervision ＆ Inspection Center for Refractories

National Quality Supervision ＆ Inspection Center for Refractories （NRQS） was set up in 1986 and was authorized in 1990 by State Bureau of Quality and Technical Supervision （SBQTS） as the state supervision ＆ inspection center （Certificate SBQTS No. 101）.

Application of Non-Destructive Testing Technology in Quality Testing and Control of Water Conservancy Projects

In view of social development,the demand for water conservancy engineering applications continues to increase.The number and scale of water conservancy projects in China have been in a state of continuous expansion in recent years.As a result,how to achieve efficient testing and effective control of the quality of water conservancy projects has always been a topic of discussion in the field of water conservancy engineering in our country.This paper summarizes the application of non-destructive testing technology in the quality testing and control of water conservancy projects.On the basis of explaining the connotation and application advantages of non-destructive testing technology,the non-destructive testing application strategies for concrete strength,steel corrosion and shallow cracks in water conservancy projects were studied.

考虑供应商自有品牌竞争的制造商质量检验策略研究

经济全球化背景下,供应商和制造商之间的关系向“竞合”转变,制造商试图放弃创新产品的严格质量检验以抢占竞争先机,却使自身可能面临召回风险。本文建立了自有品牌引入策略下制造商高水平检验和低水平检验的两阶段动态决策模型,探究供应商入侵对制造商质量检验策略的影响。研究结果表明:无论在何种情况下,制造商都有动机放弃严格的质量检验,但竞争可能会促使制造商承担更多的召回风险,而制造商抢占先机的行为并不总会降低供应商入侵风险。此外,竞争中抢占先机的行为可能使双方陷入囚徒困境,而严格的质量检验可使双方在竞争中实现双赢。

近红外光谱技术在食用菌品质检测方面的应用研究进展

食用菌是一类高蛋白、低脂肪且兼具药用价值的大型真菌,因其多营养、鲜风味、低热量、多功效等特点而成为餐桌上常备食材之一。随着消费理念不断转变,食用菌的高品质和高营养需求成为必然。近红外光谱(near-infrared spectroscopy,NIRS)技术因其快捷、无损、多组分同时检测、绿色无污染等优点,被广泛应用于食用菌品质检测研究。本文全面归纳综述了近5年来NIRS技术结合化学计量学方法在食用菌理化组分、活性成分、品种鉴别、产地溯源、病原菌污染、掺假识别等及其他方面的研究及应用进展,同时提出了NIRS技术在食用菌品质检测应用方面的发展策略,以期为完善NIRS技术检测食用菌理论、研发专用食用菌检测设备提供方法参考和思路借鉴。

完善实验动物废物处置质量管理体系的思考:以中国食品药品检定研究院为例

科技发展是推动人类社会前进的巨大动力,而实验动物资源是生命科学、医药等领域科技发展的条件保障。但在开展医药研发、检验检测等实验过程中,使用实验动物产生的废物也为城市管理带来了新的考验。废物的分类、回收、有效利用和生物安全危害等问题接踵而至,对法规、标准、规范等的制定提出了与时俱进的要求。质量管理体系建设是检验检测机构管理的地基和框架,具备较强的操作性和检查性,可以不断提升管理水平,加强基础管理的稳定性。随着各层级新的管理办法出台,很多单位现行的质量管理体系内关于实验动物废物管理的相关内容欠妥,存在未明确非医疗机构实验动物废物处置流程、实验动物废物分类不准确、不同分类的废物未能按照不同方式处置等问题。本文针对目前存在的问题,梳理了中国食品药品检定研究院质量管理体系需要增加或者删改的流程,并制订了现行有效的标准作业流程,在如何加强监督管理方面提出了切实可行的措施,并开创性地把6S管理内容纳入质量管理体系中。因此,针对实验动物废物的管理应从完善质量管理体系的角度出发,从源头做好废物分类和管理,有效控制生物危害,最大限度地减少环境污染,为可持续发展创造条件。

对叶百部种子质量检验方法研究

以云南省文山、楚雄、普洱等地对叶百部种子为材料,参照GB/T 3543-1995《农作物种子检验规程》,研究对叶百部种子质量检验方法。结果表明,种子净度分析最少试验量为75 g,送检样品量不少于750 g;真实性鉴定采用种子外观形态比较;质量测定采用百粒法;水分含量测定采用高恒温(130±2)℃烘干5 h;种子生活力测定采用TTC染色法,0.5%TTC溶液,25℃染色24 h;光照12 h条件下以纸床作为发芽床进行发芽试验,试验计数时间为15~45 d。

近红外光谱技术在乳及乳制品质量检测中的应用

随着生活水平的提升,人们对食品质量的关注日益增加,快速获取产品质量信息已成为热点问题之一。近红外光谱技术作为一种快速、无损、定量的检测手段,能够在短时间内获取食品的质量信息,该技术已逐渐在食品质量评价中得到广泛应用。本文综述了近红外光谱技术在乳及乳制品质量检测方面的应用,旨在为该技术在乳制品行业中的进一步应用提供参考。