An Elementary Model of Human Performance on Paced Visual Inspection Tasks

1970 ◽  
Vol 2 (4) ◽  
pp. 298-308 ◽  
Author(s):  
Leo A. Smith ◽  
James W. Barany
Keyword(s):  
Visual Inspection ◽  
Human Performance ◽  
Elementary Model ◽  
Inspection Tasks

scholarly journals Efficient Binarized Convolutional Layers for Visual Inspection Applications on Resource-Limited FPGAs and ASICs

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1511
Author(s):  
Taylor Simons ◽  
Dah-Jye Lee
Keyword(s):  
Neural Networks ◽  
Visual Inspection ◽  
Deep Neural Networks ◽  
Computational Cost ◽  
Quality Inspection ◽  
Agricultural Produce ◽  
Resource Limited ◽  
Inspection Tasks ◽  
Computational Resources ◽  
Small Models

There has been a recent surge in publications related to binarized neural networks (BNNs), which use binary values to represent both the weights and activations in deep neural networks (DNNs). Due to the bitwise nature of BNNs, there have been many efforts to implement BNNs on ASICs and FPGAs. While BNNs are excellent candidates for these kinds of resource-limited systems, most implementations still require very large FPGAs or CPU-FPGA co-processing systems. Our work focuses on reducing the computational cost of BNNs even further, making them more efficient to implement on FPGAs. We target embedded visual inspection tasks, like quality inspection sorting on manufactured parts and agricultural produce sorting. We propose a new binarized convolutional layer, called the neural jet features layer, that learns well-known classic computer vision kernels that are efficient to calculate as a group. We show that on visual inspection tasks, neural jet features perform comparably to standard BNN convolutional layers while using less computational resources. We also show that neural jet features tend to be more stable than BNN convolution layers when training small models.

scholarly journals Learning-Based Autonomous UAV System for Electrical and Mechanical (E&M) Device Inspection

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1385
Author(s):  
Yurong Feng ◽  
Kwaiwa Tse ◽  
Shengyang Chen ◽  
Chih-Yung Wen ◽  
Boyang Li
Keyword(s):  
System Design ◽  
State Estimation ◽  
Unmanned Aerial Vehicles ◽  
Visual Inspection ◽  
Spatial Information ◽  
Free Flight ◽  
Object State ◽  
Aerial Vehicles ◽  
Inspection Tasks ◽  
Autonomous Inspection

The inspection of electrical and mechanical (E&M) devices using unmanned aerial vehicles (UAVs) has become an increasingly popular choice in the last decade due to their flexibility and mobility. UAVs have the potential to reduce human involvement in visual inspection tasks, which could increase efficiency and reduce risks. This paper presents a UAV system for autonomously performing E&M device inspection. The proposed system relies on learning-based detection for perception, multi-sensor fusion for localization, and path planning for fully autonomous inspection. The perception method utilizes semantic and spatial information generated by a 2-D object detector. The information is then fused with depth measurements for object state estimation. No prior knowledge about the location and category of the target device is needed. The system design is validated by flight experiments using a quadrotor platform. The result shows that the proposed UAV system enables the inspection mission autonomously and ensures a stable and collision-free flight.

Influence of Task and Situational Variables on the Applicability of Vigilance Data to Physical Security

1980 ◽  
Vol 24 (1) ◽  
pp. 606-607
Author(s):  
Ben B. Morgan
Keyword(s):  
Real World ◽  
Human Performance ◽  
Clear Trend ◽  
General Belief ◽  
Situational Variables ◽  
Performance Requirements ◽  
Limited Applicability ◽  
Machine Systems ◽  
Inspection Tasks ◽  
The Many

Vigilance is one of the most thoroughly researched areas of human performance. Volumes have been written concerning vigilance performance in both laboratory and real-world settings, and there is a clear trend in the literature toward an increasing emphasis on the study of operational task behavior under environmental conditions that are common to real world jobs. Although a great deal of this research has been designed to test various aspects of the many theories of vigilance, there is a general belief that vigilance research is relevant and applicable to the performances required in real-world monitoring and inspection tasks. Indeed, many of the reported studies are justified on the basis of their apparent relevance to vigilance requirements in modern man-machine systems, industrial inspection tasks, and military jobs. There is a growing body of literature, however, which suggests that many vigilance studies are of limited applicability to operational task performance. For example, Kibler (1965) has argued that technological changes have altered job performance requirements to the extent that laboratory vigilance studies are no longer applicable to real-world jobs. Many others have simply been unable to reproduce the typical “vigilance decrement” in field situations. This has led Teichner (1974) to conclude that “the decremental function itself is more presumed than established.”

Measuring Human Detection Performance in Aircraft Visual Inspection

1997 ◽  
Vol 41 (1) ◽  
pp. 304-308 ◽  
Author(s):  
Colin G. Drury ◽  
Floyd W. Spencer ◽  
Donald L. Schurman
Keyword(s):  
Visual Acuity ◽  
Individual Differences ◽  
Visual Inspection ◽  
Individual Characteristics ◽  
Human Detection ◽  
Field Independence ◽  
Multiple Fault ◽  
Industrial Inspection ◽  
Inspection Tasks ◽  
Non Destructive

In airworthiness assurance, while there is a long tradition of measuring inspection reliability for machine-aided Non-Destructive Inspection (NDI), the more common visual inspection has received little attention. Yet inspection reliability measurements are needed if we are to set appropriate inspection intervals for airframe components. Visual inspection of aircraft is characterized as using multiple senses (despite its name) and having to inspect for multiple fault types, in contrast to NDI which is used for single specific fault types. The study here used 12 professional inspectors to perform nine visual inspection tasks on a long-service Boeing 737 aircraft. Each inspector worked over two days. Measures were taken of performance, strategy and individual differences. Only a fraction of the results are presented here, with a major finding that aircraft visual inspection has approximately the same reliability as industrial inspection. Individual differences were found, as well as correlations between certain aspects of performance and individual characteristics such as Field Independence and Peripheral Visual Acuity. However, there was little correlation between an individual inspector's performance on the different tasks, showing the difficulty of designing selection and placement procedures for such a wide-ranging job.

A systematic approach to assess visual inspection tasks: an assembly line case

2020 ◽  
Vol 29 (3) ◽  
pp. 418
Author(s):  
Mustafa Can Tuncer ◽  
Necmettin Firat Ozkan ◽  
Berna Haktanirlar Ulutas
Keyword(s):  
Visual Inspection ◽  
Assembly Line ◽  
Systematic Approach ◽  
Inspection Tasks

Differential Base Rate Training Influences Detection of Novel Targets in a Complex Visual Inspection Task

2007 ◽  
Vol 51 (4) ◽  
pp. 392-396 ◽  
Author(s):  
Poornima Madhavan ◽  
Cleotilde Gonzalez ◽  
Frank C. Lacson
Keyword(s):  
Visual Inspection ◽  
Response Times ◽  
Acquisition Training ◽  
Base Rate ◽  
False Alarms ◽  
Base Rates ◽  
Luggage Screening ◽  
Novel Targets ◽  
Hit Rates ◽  
Inspection Tasks

We studied the effects that multiple levels of signal probability (known as base rate) have on the transfer of learning in an airline luggage screening task. Participants (n = 33) were presented with three base rates during the acquisition (training) phase: 100%, 50%, or 20%; at transfer, all participants detected novel targets at a base rate of 20%. Performance was measured by hit rates, false alarm rates, sensitivities, and detection times. Results revealed that participants receiving higher base rates during training obtained higher hit rates at transfer compared to participants encountering lower base rates. However, increasing the training base rate also increased the incidence of false alarms, leading to a low overall level of sensitivity during transfer. Relatively higher base rates had mixed effects on response times. These results have implications for improving training modules for individuals in complex visual inspection tasks.

scholarly journals Strategies for Improving Visual Inspection Performance

1974 ◽  
Vol 18 (4) ◽  
pp. 397-403 ◽  
Author(s):  
Jerry L. Purswell ◽  
LaVerne L. Hoag
Keyword(s):  
Visual Inspection ◽  
Integrated Design ◽  
Design Procedure ◽  
Economic Effects ◽  
Defective Items ◽  
Research Results ◽  
Overall Design ◽  
Inspection Tasks ◽  
Inspection Task ◽  
Inspection Performance

This paper summarizes recent results obtained in inspection studies including several studies performed by the authors. Both static and dynamic visual inspection tasks are included. Based on these results, a proposed new integrated design procedure for inspection tasks that will approach the optimal design has been formulated. The review of recent research results includes the following primary variables: the speed of the item passing the inspector, the spacing of items, the percentage of defective items, the illumination level, the contrast between the item being inspected and the background, and the effectiveness of individual versus group inspection. The authors have used their research results in combination with the results in the literature to formulate new integrated procedures for designing inspection stations and job procedures. The authors have also analyzed the effects of inspector performance on the overall quality control plans already in use in industry. The economic effects of changes in inspector performance which result from redesign of the inspection task are then demonstrated as a part of the overall design procedure.

scholarly journals Methodology for Evaluating Risk of Visual Inspection Tasks of Aircraft Engine Blades

Aerospace ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 117
Author(s):  
Jonas Aust ◽  
Dirk Pons
Keyword(s):  
Risk Assessment ◽  
Visual Inspection ◽  
Aircraft Engine ◽  
Risk Framework ◽  
Material Separation ◽  
Inspection Tasks ◽  
Risk Metric ◽  
Engine Components ◽  
Application Specific ◽  
Industrial Context

Risk assessment methods are widely used in aviation, but have not been demonstrated for visual inspection of aircraft engine components. The complexity in this field arises from the variety of defect types and the different manifestation thereof with each level of disassembly. A new risk framework was designed to include contextual factors. Those factors were identified using Bowtie analysis to be criticality, severity, and detectability. This framework yields a risk metric that describes the extent to which a defect might stay undetected during the inspection task, and result in adverse safety outcomes. A simplification of the framework provides a method for go/no-go decision-making. The results of the study reveal that the defect detectability is highly dependent on specific views of the blade, and the risk can be quantified. Defects that involve material separation or removal such as scratches, tip rub, nicks, tears, cracks, and breaking, are best shown in airfoil views. Defects that involve material deformation and change of shape, such as tip curl, dents on the leading edges, bents, and battered blades, have lower risk if edge views can be provided. This research proposes that many risk assessments may be reduced to three factors: consequence, likelihood, and a cofactor. The latter represents the industrial context, and can comprise multiple sub-factors that are application-specific. A method has been devised, including appropriate scales, for the inclusion of these into the risk assessment.

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