Studying the Influence of Illumination Design in Quality Inspection on Vaccine Vials Production Line Using Computer Vision

In the industrial context, there are key factors that directly affect the system’s efficiency. Higher demands for both quantity and quality in today’s market call for constant research and development of technologies for automating production and quality control. Machine vision is a solution to increase speed and accuracy in defect detection. However, applications from machine vision are only effective if there is good data input. This is the reason why a machine vision system, needs high-quality input images from a well-designed illumination system. These illumination systems are designed to highlight faults in products. Therefore, the images obtained will provide optimized data for easier image processing thus directly increase the processing speed, accuracy, and overall system performance. To achieve this goal, this paper presents a few approaches to enhance and optimize images by implements illumination techniques into a miniature model of pharmaceutical bottle assembly line using machine vision as the inspector block. In this paper, we will evaluate the critical needs of using customize illumination system for quality inspection on an assembly line.

Evidence for Human-Centric In-Vehicle Lighting: Part 1

Today, up to hundreds of RGB and W-LEDs are positioned in a vehicle’s interior context and are able to be individually controlled in intensity, color and sequence. However, which kind of illumination distracts or supports car occupants and how to define such a modern illumination system is still under discussion and unknown. For that, first a definition for an in-vehicle lighting system is introduced. Second, a globally distributed study was performed based on a free-access online survey to investigate in-vehicle lighting for visual signaling within 10 colors, eight positions and six dynamic patterns. In total, 238 participants from China and Europe rated color preferences, color moods, light-position preferences, differences between manual and autonomous driving and also different meanings for dynamic lighting patterns. Out of these, three strong significant (p < 0.05) color preference groups were identified with a polarized, accepted or merged character. For the important driving-signaling mood attention, we found a significant hue dependency for Europeans which was missing within the Chinese participants. In addition, we identified that light positioned at the door and foot area was globally favored. Furthermore, we evaluated qualitative results: men are primarily focusing on fast-forward, whereas women paid more attention on practical light usage. These findings conclude the need for a higher lighting-car-occupant adaptation in the future grounded by deeper in-vehicle human factors research to achieve a higher satisfaction level. In interdisciplinary terms, our findings might also be helpful for interior building or general modern cockpit designs for trains or airplanes.

Development and Testing of a Modular Sunlight Transport System Employing Free-Form Mirrors

The energy consumption of artificial lighting and its impacts on health have stimulated research into natural lighting systems. However, natural lighting system designs are mainly custom, making them costly and difficult to replicate. This study took an office space as a testing field in order to develop a highly adaptable and adjustable modular natural light illumination system. We divided the system into multiple module designs, demonstrated the use of simple development and fabrication processes and integrated a freeform reflector into the system. In creating a freeform mirror, the optical simulation results of the tested field were regressed (through polynomial regression) to achieve a uniformly illuminated plane, and a high-efficiency light-emitting system was produced. Finally, an active heliostat was used to collect sunlight, combined with actual manufacturing verification and measurement results, in order to create an excellent indoor lighting system. As a result, we presented a low-cost and easy-to-design natural light illumination system for the assisted lighting of office areas.

ВИКОРИСТАННЯ ОПТОВОЛОКНА ЯК СКЛАДОВОЇ ЗАГАЛЬНОГО ЗОВНІШНЬОГО ОСВІТЛЕННЯДЛЯ СТВОРЕННЯ МАКСИМАЛЬНОГО РІВНЯ ЕНЕРГОЕФЕКТИВНОСТІ

Purpose. To develop a new lighting system for children's sports complexes. The introduction of the developed technology will improve the state of illumination of outdoor sports grounds without creating light pollution and increasing additional energy-efficient costs.Methodology. The combined technique of the technology of using two types of light sources, namely: low-power LED floodlights and optical fiber with a single light source, allows you to create an energy-efficient field illumination system. The proposed solution can be used for full illumination of street children's complexes. The selection of the parameters of the lighting system was carried out on the example of a real sports and children's complex.Findings. The performed measurements of the real parameters of the existing sports ground and taking into account its geometry allowed us to calculate the light parameters of light sources, select the appropriate materials and create a complete lighting model. A new lighting technology for sports and children's complexes has been developed, the level of lighting of sports facilities has been improved without creating light pollution.Originality. For the first time, a combined technology of illumination of sports and children's playgrounds was proposed using optical fiber and LED floodlights. The introduction of the developed technology will improve the state of illumination of such structures without creating an unnecessary light load on residents who are near the site. Moreover, such lighting will not lead to an increase in additional energy costs.Practical value. Today, most outdoor sports and entertainment venues are devoid of any lighting. The proposed complex solution can be used in any existing field lighting system. It is the most efficient and electrically safe because the optical fiber does not conduct electricity, but light. The light source itself can be located remotely and protected from vandals.

Design and implementation of an illumination system to mimic skyglow at ecosystem level in a large-scale lake enclosure facility

Light pollution is an environmental stressor of global extent that is growing exponentially in area and intensity. Artificial skyglow, a form of light pollution with large range, is hypothesized to have environmental impact at ecosystem level. However, testing the impact of skyglow at large scales and in a controlled fashion under in situ conditions has remained elusive so far. Here we present the first experimental setup to mimic skyglow at ecosystem level outdoors in an aquatic environment. Spatially diffuse and homogeneous surface illumination that is adjustable between 0.01 and 10 lx, resembling rural to urban skyglow levels, was achieved with white light-emitting diodes at a large-scale lake enclosure facility. The illumination system was enabled by optical modeling with Monte-Carlo raytracing and validated by measurements. Our method can be adapted to other outdoor and indoor skyglow experiments, urgently needed to understand the impact of skyglow on ecosystems.

Smoke Removal and Image Enhancement of Laparoscopic Images by An Artificial Multi-Exposure Image Fusion Method

In laparoscopic surgery, image quality is often degraded by surgical smoke or by side effects of the illumination system, such as reflections, specularities, and non-uniform illumination. The degraded images complicate the work of the surgeons and may lead to errors in image-guided surgery. Existing enhancement algorithms mainly focus on enhancing global image contrast, overlooking local contrast. Here, we propose a new Patch Adaptive Structure Decomposition utilizing the Multi-Exposure Fusion (PASD-MEF) technique to enhance the local contrast of laparoscopic images for better visualization. The set of under-exposure level images are obtained from a single input blurred image by using gamma correction. Spatial linear saturation is applied to enhance image contrast and to adjust the image saturation. The Multi-Exposure Fusion (MEF) is used on a series of multi-exposure images to obtain a single clear and smoke-free fused image. MEF is applied by using adaptive structure decomposition on all image patches. Image entropy based on the texture energy is used to calculate image energy strength. The texture entropy energy determined the patch size that is useful in the decomposition of image structure. The proposed method effectively eliminate smoke and enhance the degraded laparoscopic images. The qualitative results showed that the visual quality of the resultant images is improved and smoke-free. Furthermore, the quantitative scores computed of the metrics: FADE, Blur, JNBM, and Edge Intensity are significantly improved as compared to other existing methods.

Human-Centered Drone LED Illumination System: A Proof-of-Concept Prototype

Recent years have seen a rapid increase in drone usage in both commercial and personal use, due to recent changes in guidelines by the Federal Aviation Administration (FAA). In those guidelines, however, there seems to be very few requirements in terms of illumination requirements, apart from the need to use a visible strob ing anti-collision light for nighttime operations. Hence in this study, wereviewed existing LED illumination systems in off-the-shelf drones to determine what type of configurations they have and how is the LED illumination system generally used. We also introduced a customizable LED illumination system and tested it in a human in the loop study. Our p reliminary findings have revealed that the colors that are preferred by the participants did not match the most used colors in existing LED illumination systems in most off-the-shelf drones. We also observed a possible relationship between the color preferred and the weather conditions.