/Digitale Assistenzsysteme in der ProduktionDigital assistance systems in the production area – Specifying the relevant functions

2020 ◽  
Vol 110 (03) ◽  
pp. 103-107
Author(s):  
Christian Bayer ◽  
Rami Makhlouf ◽  
Joachim Metternich
Keyword(s):  
Assistance System ◽  
Production Area ◽  
Assistance Systems

Die Diversifikation von Produkten erhöht die Komplexität in der Produktion, wodurch die Anforderungen an die Beschäftigten steigen. Durch den Einsatz digitaler Assistenzsysteme kann die menschliche Arbeit in der Produktion unterstützt werden. Dieser Beitrag beschäftigt sich mit den relevanten Funktionen eines digitalen Assistenzsystems als Diskussionsgrundlage bei deren Einführung.   The diversification of products makes production more complex and jobs more demanding. Digital assistance systems can support human work in the production area. This article deals with the relevant functions of a digital assistance system as a basis for discussion when implementing them.

Digitalisierung von additiven Fertigungseinheiten/Digitalization of additive manufacturing units

2021 ◽  
Vol 111 (09) ◽  
pp. 633-637
Author(s):  
Maximilian Vogt ◽  
Julian Ulrich Weber ◽  
Vishnuu Jothi Prakash
Keyword(s):  
Additive Manufacturing ◽  
Feasible Solution ◽  
Spare Parts ◽  
Assistance System ◽  
Remote Locations ◽  
Assistance Systems ◽  
Mobile Manufacturing ◽  
Manufacturing Technologies

Additive Fertigungstechnologien erlauben die bedarfsgerechte Produktion von individuellen Ersatzteilen. Durch Einsatz mobiler Fertigungseinheiten lässt sich mithilfe dieser Verfahren die Resilienz von isolierten Produktionsstätten erhöhen. Um auch außerfachliches Personal zur Bedienung an entlegenen Einsatzorten zu befähigen, stellen digitale Assistenzsysteme eine mögliche Lösung dar. In diesem Beitrag wird ein solches Assistenzsystem zur Begleitung der manuellen Tätigkeiten beim roboterbasierten DED-Prozess in einer mobilen Fertigungseinheit diskutiert.   Additive manufacturing technologies enable the demand-driven production of individual spare parts. By using mobile manufacturing units, these processes can be used to increase the resilience of isolated production sites. In order to enable non-specialized personnel to operate at remote locations, digital assistance systems are a feasible solution. This paper discusses such an assistance system to accompany manual operations of the robot-based DED process in a mobile manufacturing unit.

Digitale Assistenzsysteme in der Produktion*/Innovative assistance systems in production

2017 ◽  
Vol 107 (03) ◽  
pp. 124-128
Author(s):  
L. Merkel ◽  
J, Starz ◽  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart
Keyword(s):  
New Technologies ◽  
Assistance System ◽  
Individual Worker ◽  
Best Fitting ◽  
Assistance Systems ◽  
Worker Support ◽  
Selection Of

Digitale Assistenzsysteme in der Produktion helfen, zunehmend komplex werdende Arbeitsaufgaben zu beherrschen. Dafür entstehen im Zuge der Digitalisierung der Produktion forschungsseitig zahlreiche neue Möglichkeiten individueller Werkerunterstützung. Das hier vorgestellte entwickelte Modell gestattet eine detaillierte Beschreibung der Fähigkeiten und Technologien von Komponenten eines Assistenzsystems. Durch einen Abgleich von spezifischen Anforderungen eines Anwendungsfalls mit den Fähigkeiten des Assistenzsystems soll die Auswahl eines geeigneten Assistenzsystems ermöglicht werden.   Digital assistance systems help to master tasks with growing complexity in production. Currently, a lot of research aims at developing new technologies for individual worker support. This paper presents a model for a detailed description of capabilities and technologies used for components in assistance systems. By matching a given task’s requirements with the capabilities of an assistance system, the selection of the best fitting assistance system can be achieved.

scholarly journals A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly

2021 ◽  
Vol 16 (4) ◽  
pp. 393-404
Author(s):  
A. Riedel ◽  
J. Gerlach ◽  
M. Dietsch ◽  
S. Herbst ◽  
F. Engelmann ◽  
...  
Keyword(s):  
Deep Learning ◽  
Assistance System ◽  
Control Group ◽  
Production Environment ◽  
Manual Assembly ◽  
Human Errors ◽  
Error Prevention ◽  
Detection Model ◽  
Assistance Systems

Modern assembly systems adapt to the requirements of customised and short-lived products. As assembly tasks become increasingly complex and change rapidly, the cognitive load on employees increases. This leads to the use of assistance systems for manual assembly to detect and avoid human errors and thus ensure consistent product quality. Most of these systems promise to improve the production environment but have hardly been studied quantitatively so far. Recent advances in deep learning-based computer vision have also not yet been fully exploited. This study aims to provide architectural, and implementational details of a state-of-the-art assembly assistance system based on an object detection model. The proposed architecture is intended to be representative of modern assistance systems. The error prevention potential is determined in a case study in which test subjects manually assemble a complex explosion-proof tubular lamp. The results show 51 % fewer assembly errors compared to a control group without assistance. Three of the four considered types of error classes have been reduced by at least 42 %. In particular, errors by omission are most likely to be prevented by the system. The reduction in the error rate is observed over the entire period of 30 consecutive product assemblies, comparing assisted and unassisted assembly. Furthermore, the recorded assembly data are found to be valuable regarding traceability and production improvement processes.

On the Influence of Walking on Hazard Detection for Prospective User-Centered Design of an Assistance System for Older Pedestrians

i-com ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 87-98
Author(s):  
Janna Protzak ◽  
Rebecca Wiczorek
Keyword(s):  
Response Times ◽  
Assistance System ◽  
Unexpected Result ◽  
User Centered Design ◽  
Hazard Detection ◽  
Pedestrian Traffic ◽  
Assistance Systems ◽  
Motor Load ◽  
Prospective User ◽  
User Centered

AbstractAs older pedestrians are at high risk of being involved in car crashes, an assistance system is currently under development. One of it’s aims is to encourage them to stop walking before looking for traffic. The approach was evaluated in two studies. Age group -young vs. old- and motoric condition -walking vs. standing- served as independent variables in both experiments. Experiment one was conducted in a pedestrian traffic simulation with a traffic related visual hazard detection task with simulated walking. Analysis revealed no age-specific dual-task costs for accuracy and response time. This unexpected result was ascribed to the insufficient operationalization of the walking task, which lacked important aspects of real walking such as requirements of keeping the balance. Therefore, experiment two, comprised real walking but a simple visual task. In the second experiment older participants missed more targets than younger. More important, number of errors increased as a function of motor load only for older participants. Response times were enhanced for older participants and faster for both groups while standing compared to walking. Results are discussed with regard to the development of an assistance systems for older pedestrians and theoretical implications for prospective user-centered experimental design.

Vision System Based Lane Keeping Assistance Evaluated in a Hardware-in-the-Loop Simulator

2010 ◽  
Author(s):  
Fuat Cos¸kun ◽  
O¨zgu¨r Tuncer ◽  
Elif Karslıgil ◽  
Levent Gu¨venc¸
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Lane Detection ◽  
Assistance System ◽  
Hardware In The Loop ◽  
Vehicle Model ◽  
Detection And Tracking ◽  
Video Frames ◽  
Assistance Systems ◽  
Lane Keeping

Lane keeping assistance systems help the driver in following the lane centerline. While lane keeping assistance systems are available in some mass production vehicles, they have not found widespread use and are not as common as ESP or ACC at the moment. Lane keeping assistance systems still need further development. Previously available systems have to be continuously adapted to newer vehicle models and fully tested after this adaptation. An image processing algorithm for lane detection and tracking, a lane keeping assistance controller design and a real time hardware-in-the-loop (HiL) simulator developed for testing the designed lane keeping assistance system are therefore presented in this paper. The high fidelity, high order, realistic and nonlinear vehicle model in Carmaker HiL runs as software in a real time simulation on a dSpace compact simulator with the DS1005 and DS2210 boards. A PC is used for processing video frames coming from an in-vehicle camera pointed towards the road ahead. Lane detection and tracking computations including fitting of composite Bezier curves to curved lanes are carried out on this PC. In the present setup, the camera used is a virtual camera attached to the virtual vehicle in Carmaker and provides video frames from the Carmaker animation screen. A dSpace microautobox is available for obtaining the lane data from the PC and the Carmaker vehicle data from the dSpace compact simulator and calculating the required steering actions and sending them to the Carmaker vehicle model. The lane keeping controller is designed in the Matlab toolbox COMES using parameter space techniques. The motivation behind this approach is to develop the lane keeping assistance system as much as possible in a laboratory hardware-in-the-loop setting before time consuming, expensive and potentially dangerous road testing. Lane detection, tracking and curved lane fit results, hardware-in-the-loop simulation results of the lane keeping controller with the image processing system are are used to demonstrate the effectiveness of the proposed method.

scholarly journals Visual Feedback Effectiveness in Reducing Over Speeding of Moped-Riders

2021 ◽  
Vol 12 ◽  
Author(s):  
Mariaelena Tagliabue ◽  
Riccardo Rossi ◽  
Massimiliano Gastaldi ◽  
Giulia De Cet ◽  
Francesca Freuli ◽  
...  
Keyword(s):  
Visual Feedback ◽  
Traffic Signals ◽  
Assistance System ◽  
Speed Limit ◽  
Baseline Session ◽  
Causal Factors ◽  
Road Crashes ◽  
Visibility Condition ◽  
Driving Task ◽  
Assistance Systems

The use of assistance systems aimed at reducing road fatalities is spreading, especially for car drivers, but less effort has been devoted to developing and testing similar systems for powered two-wheelers (PTWs). Considering that over speeding represents one of the main causal factors in road crashes and that riders are more vulnerable than drivers, in the present study we investigated the effectiveness of an assistance system which signaled speed limit violations during a simulated moped-driving task, in optimal and poor visibility conditions. Participants performed four conditions of simulated riding: one baseline condition without Feedback, one Fog condition in which visual feedback was provided so as to indicate to the participants when a speed limit (lower than that indicated by the traffic signals) was exceeded, and two post-Feedback conditions with and without Fog, respectively, in which no feedback was delivered. Results showed that participants make fewer speeding violations when the feedback is not provided, after 1 month, and regardless of the visibility condition. Finally, the feedback has been proven effective in reducing speed violations in participants with an aggressive riding style, as measured in the baseline session.

Driver Assistance Systems with Communication to Traffic Lights - Configuration of Assistance Systems by Receiving and Transmission and Field Experiments -

2010 ◽  
Vol 22 (6) ◽  
pp. 737-744 ◽  
Author(s):  
Shin Kato ◽  
◽  
Naohisa Hashimoto ◽  
Takeki Ogitsu ◽  
Sadayuki Tsugawa ◽  
...  
Keyword(s):  
Field Experiments ◽  
Driver Assistance System ◽  
The State ◽  
Assistance System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Traffic Lights ◽  
Assistance Systems

We propose some driver assistance systems with communication to traffic lights. It proposes the driver assistance system that uses information from the traffic lights with the state of the signal and time of the cycle. The demand traffic lights systems are also proposed. In addition, a consideration of the configuration and the construction of the experiment systems, and some field experiments for driver assistance are described.

scholarly journals Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

2020 ◽  
Author(s):  
Zhigang Song ◽  
Shuangmei Zou ◽  
Weixun Zhou ◽  
Yong Huang ◽  
Liwei Shao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
Diagnostic Accuracy ◽  
Assistance System ◽  
Routine Practice ◽  
Histopathological Diagnosis ◽  
Malignant Tumours ◽  
Incidence And Mortality ◽  
Assistance Systems ◽  
Whole Slide Images

Gastric cancer is among the most malignant tumours with the highest incidence and mortality rates. The early detection and accurate histopathological diagnosis of gastric cancer are essential factors that can help increase the chances of successful treatment. While the worldwide shortage of pathologists has imposed burdens on current histopathology services, it also offers a unique opportunity for the use of artificial intelligence assistance systems to alleviate the workload and increase diagnostic accuracy. To the best of our knowledge, there has not been a clinically applicable histopathological assistance system with high accuracy that can generalize to whole slide images created with diverse digital scanner models from different hospitals. Here, we report a clinically applicable artificial intelligence assistance system developed at the Chinese PLA General Hospital, China, using a deep convolutional neural network trained with 2,123 pixel-level annotated H&E-stained whole slide images. The model achieved a sensitivity near 100% and an average specificity of 80.6% on a real-world test dataset, which included 3,212 whole slide images digitalized with three scanner models. We showed that the system could aid pathologists in improving diagnostic accuracy and preventing misdiagnoses. Moreover, we demonstrated that our system could perform robustly with 1,582 whole slide images from two other medical centres. Our study suggests the feasibility and benefits of using histopathological artificial intelligence assistance systems in routine practice scenarios.

scholarly journals Assistance systems in learning factories - A systematizing overview and case studies

2021 ◽  
pp. 303-322
Author(s):  
Christof Thim ◽  
◽  
Gergana Vladova ◽  
Sander Lass ◽  
Keyword(s):  
Everyday Life ◽  
Assistance System ◽  
Learning Goals ◽  
Organizational Goal ◽  
Production Processes ◽  
System Use ◽  
Learning Scenarios ◽  
Assistance Systems ◽  
Human Operators ◽  
Context Of Learning

Assistance systems are in use in different domains from their application in everyday life like driving cars and guiding the operation of information systems to industrial usage, e.g., in operating machinery, maintaining facilities, and monitoring production processes. The primary purpose of assistance systems is to extend the capabilities of human operators in different aspects to achieve an individual or organizational goal faster, with fewer errors, or more secure. In the context of learning, they provide new means to engage people in realistic learning scenarios. This paper discusses assistance systems that support learning in production processes. The goal of the paper is to structure the possibilities of assistance systems use regarding different learning goals. It presents a taxonomy of assistance system use and demonstrates this taxonomy in three cases.

scholarly journals Design of Lightweight Driver-Assistance System for Safe Driving in Electric Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4761 ◽  
Author(s):  
Shabir Ahmad ◽  
Sehrish Malik ◽  
Dong-Hwan Park ◽  
DoHyeun Kim
Keyword(s):  
Electric Vehicles ◽  
Driver Assistance System ◽  
Cost Driver ◽  
Assistance System ◽  
Battery Life ◽  
Human Beings ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Safe Driving ◽  
Assistance Systems

Electric-vehicle technology is an emerging area offering several benefits such as economy due to low running costs. Electric vehicles can also help to significantly reduce CO 2 emission, which is a vital factor for environmental pollution. Modern vehicles are equipped with driver-assistance systems that facilitate drivers by offloading some of the tasks a driver does while driving. Human beings are prone to errors. Therefore, accidents and fatalities can happen if the driver fails to perform a particular task within the deadline. In electric vehicles, the focus has always been to optimize the power and battery life, and thus, any additional hardware can affect their battery life significantly. In this paper, the design of driver-assistance systems has been introduced to automate and assist in some of the vital tasks, such as a braking system, in an optimized manner. We revamp the idea of the traditional driver-assistance system and propose a generic lightweight system based on the leading factors and their impact on accidents. We model tasks for these factors and simulate a low-cost driver-assistance system in a real-time context, where these scenarios are investigated and tasks schedulability is formally proved before deploying them in electric vehicles. The proposed driver-assistance system offers many advantages. It decreases the risk of accidents and monitors the safety of driving. If, at some point, the risk index is above a certain threshold, an automated control algorithm is triggered to reduce it by activating different actuators. At the same time, it is lightweight and does not require any dedicated hardware, which in turn has a significant advantage in terms of battery life. Results show that the proposed system not only is accurate but also has a very negligible effect on energy consumption and battery life.

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