This study examines an imperfect production and inspection system with customer return and defective disposal. We develop an optimal lot sizing model with production and inspection quality investment, incorporating all the quality costs. We find the optimal lot size, rework frequency, defective proportion, and Type I and Type II inspection error proportions which minimize the total quality cost...

This paper discusses the use of an artificial neural network in an automated IC package wirebond inspection defect classification system. A neural network was applied to the inspection of wirebonds in high pin count (>300 pin) IC packages. This study required sample acquisition, image capture, image segmentation, data compression, feature extraction, and training a neural network. Simple image ...

In this paper we propose a technique to construct invariant grey scale features to detect errors on textured surfaces. Based on an averaging over the Euclidean transformation group these features are capable of using in automatic visual inspection systems. Beside a classii-cation of the error a localization is also possible. As application we used real textile texture images of the database TIL...

During textile manufacturing processing, it is vital to inspect, detect, assess and rectify defects as soon as they emerge. This is particularly important for fabric engineering and finishing, as the fabric quality directly affects the quality of their final products. In textile industry history, visual inspection and classification were common practice. The nature of traditional manual inspect...

This paper presents a development of automatic complementary metal-oxidesemiconductor (CMOS) camera inspection system to examine defects. The image capture board based on embedded linux using system-on-a-chip (SoC) and a complex programmable logic device (CPLD) is developed to capture CMOS sensor data. The captured sensor data is transferred to the host computer through TCP/IP socket communicat...

On-line carcass inspection of chickens in the United States is currently done using visual (organoleptic) methods. Inspectors from the USDA Food Safety and Inspection Service (FSIS) inspect the viscera and carcass and, for older birds, the heads using a sequence of observations and palpations at a postmortem inspection station. The streamlined inspection system (SIS) and the new line speed insp...

Ensuring inspection performance is not a trivial design problem, because inspection is a complex and difficult task that tends to be error-prone, whether performed by human or by automated machines. Due to economical or technological reasons, human inspectors are responsible for inspection functions in many cases. Humans, however, are rarely perfect. A system of manual inspection was found to b...

Any opinions expressed in this paper are those of the author and do not constitute policy of the Department of Housing and Urban Development. 1. Introduction The Department of Housing and Urban Development is responsible for assessing the physical condition of the public and assisted housing portfolios. This includes: • Approximately 14,000 properties owned by public housing authorities (public...

We selected iOS in this study as the App operation system, Objective-C as the programming language, and Oracle as the database to develop an App to inspect controlled substances in patient care units. Using a web-enabled smartphone, pharmacist inspection can be performed on site and the inspection result can be directly recorded into HIS through the Internet, so human error of data translation ...