Proactive Ergonomics Based on Digitalization Using 3D Scanning and Workplace Modeling in Texnomatix Jack with Augmented Reality

This paper suggests a vision of present possibilities of modern ergonomics, and an application model of the proposed system in the digital environment of digital plant. Future trends and visions use a proactive approach of modern ergonomics integrated with sustainable success management. The implementation of new approaches digital plant of ergonomics and occupational safety and health management assumes synergic effect brought by the harmony between proactive ergonomics and risk management in everyday working operations. It makes it possible to improve both safety and production quality. The application of innovative methods and progressive software tools as digitalization using 3D scanning and workplace modeling in Texnomatix Jack with augmented reality, enables plants to increase their production quality, to reduce the number of defective products, to carry out efficient maintenance, to identify risks on time, to increase human factor safety and reliability before launching the actual operation of the system, as well as to prevent losses in the very pre-production phase

Augmented Reality Framework and Demonstrator

Augmenting the real-world with digital information can improve the human perception in many ways. In recent years, a large amount of research has been conducted in the field of Augmented Reality (AR) and related technologies. Subsequently, different AR systems have been developed for the use in different areas such as medical, education, military, and entertainment. This thesis investigates augmented reality systems and challenges of realistic rendering in AR environment. Besides, an object-oriented framework, named ThirdEye, has been designed and implemented in order to facilitate the process of developing augmented reality applications for experimental purposes. This framework has been developed in two versions for desktop and mobile platforms. With ThirdEye, it is easier to port the same AR demo application to both platforms, manage and modify all AR demo application components, compared to the various existing libraries. Each feature that the ThirdEye framework includes, may be provided by other existing libraries separately but this framework provides those features in an easy-to-use manner. In order to evaluate usability and performance of ThirdEye and also for demonstrating challenges of simulating some of the light effects in the AR environment, such as shadow and refraction, several AR demos were developed using this framework. Performance of the implemented AR demos were benchmarked and bottlenecks of different components of the framework were investigated. This thesis explains the structure of the ThirdEye framework, its main components and the employed technologies and the Software Development Kits (SDKs). Furthermore, by using a simple demo, it is explained how this framework can be utilized to develop an AR application step by step. Lastly, several ideas for future development are described

Toward the Implementation of Augmented Reality Training

The United States Air Force (USAF) trains C-130H Loadmaster students at Little Rock Air Force Base (AFB) through a civilian contract. The Aircrew Training System (ATS) contractor utilizes a Fuselage Trainer (FuT) to provide scenarios for the Loadmaster students to practice loading and unloading a simulated aircraft. The problem was the USAF does not have enough training devices and these devices are not at a high enough fidelity to accomplish many of the aircraft functions to meet the training objectives before flying on the actual aircraft. The ATS has moved the pilot\u27s initial training into the Weapon System Trainer (WST). The WST has nearly eliminated all the aircraft flights for pilot initial instrument training because the simulator is life-like enough to accomplish the training tasks to qualify the students in the device. The Loadmaster student flights are scheduled based upon the pilot\u27s flight training, thus forcing the Loadmaster students to utilize some other type of simulator device for their initial training. The goal was to investigate an efficient and effective AR training system to instruct Loadmaster skills before they train on the aircraft. The investigation examined the use of a prototype Helmet Mounted Display (HMD) AR device attached to the Loadmaster\u27s helmet. Three scenarios provided a basis to evaluate the different aspects of hardware and software needed to utilize an HMD as a Loadmaster training tool. The scenarios tested how the AR device may improve the C-130H Loadmaster training capabilities to learn normal and emergency procedures to students in the FuT. The results show a way to save the government thousands of dollars in fuel cost savings and open the eyes of the training contractor to a new way of training students using AR