Automatic Illumination Research Articles

Analysis of the results of laboratory tests of the system of automatic control of the illumination of the led light

The article discusses the results of experimental data on the response of a photoconverter under the influence of radiation reflected from the working surface of various light sources (LED light source, incandescent lamp, fluorescent lamp, natural light source - the sun). The results of mathematical planning by three-factor and two-factor experiments are presented. As a result of the tests, it was found that when calibrating the automatic illumination control system for an LED lamp, when creating the same illumination on the working surface, the illumination coefficient should be taken into account. If the working surface is additionally affected by a solar light source, then an illumination coefficient of 3.99 is taken to calculate the resulting output signal; for fluorescent lamps - 3.38; incandescent lamps - 1.71.

Automatic Illumination Control Method for Indoor Luminaires Based on Multichromatic Quantum Dot Light-Emitting Diodes.

Energy saving and visual comfort are two main considerations in designing of automatic illumination control systems. However, energy-saving-oriented illumination control always causes optical spectra drifting in light-conversion-material-based white light-emitting diodes (WLEDs), which are conventionally used as artificial luminaires in indoor areas. In this study, we propose a method for InP quantum dot (QD)-based WLEDs to minimize optical energy consumption by considering the influence caused by the outdoor environment and neighboring WLED units. Factors of (a) dimensions of room window and WLED matrix, (b) distance between WLED units, lighting height, species of InP QDs, and (c) user distribution are taken into consideration in calculation. Parameters of correlated color temperature (CCT) and color rendering index (Ra) of the WLED matrix are optimized according to the lighting environment to improve user visual comfort level. By dynamically controlling the light ingredients and optical power of WLEDs, we optimize the received illuminance distribution of table tops, improve the lighting homogeneity of all users, and guarantee the lowest energy consumption of the WLED matrix. The proposed approach can be flexibly applied in large-scale WLED intelligent controlling systems for industrial workshops and office buildings.

Restaurant Interior Design under Digital Image Processing Based on Visual Sensing Technology.

With the development of the social economy, people are paying more and more attention to decorative effects and the comfort and individual characteristics of decoration. To meet the increasingly high requirements of customers, many restaurants have begun to focus on the personalization of the dining environment, which is comfortable to build and focuses on the spiritual satisfaction and experience of customers during the dining process. In this study, a comprehensive analysis of digital image processing technology is performed to implement an automatic illumination system with improved performance for the restaurant interior design and embed the restaurant interior design with intelligence. The convolutional neural network (CNN) is employed in the automatic illumination system to develop the human body recognition model. After a test of its recognition accuracy, the parameters of CNN are optimized, and high recognition accuracy of 0.97 is achieved. Compared with other models, the process of training the designed model implemented in this study can finish in 40 minutes, and the performance has been well optimized. Moreover, the processing function of the model is also able to resist the interference of other external objects. The excellent automatic illuminating system can greatly improve the atmosphere as well as the service level of the restaurant at night, which can promote the modernization of the restaurant and give certain reference significance to the reform and advancement of the decoration industry.

Automatic illumination control for an endoscopy sensor

Endoscopy and small surgery can be performed with the support of small cameras. These cameras need to be minimal to reduce intrusion, require fast response and automatic illumination. The current work describes the world's smallest camera for endoscopy, NanEye, and the dynamic control algorithm for ROI developed for the illumination LED source coupled to the camera head that allows adjusting light, gain and exposure time. The obtained results show that it is capable of achieving correction speeds under 1 s while maintaining a static error below 3% relative to the total number of pixels of the image. The result of this work will allow the integration of high brightness LED sources of millimeter size on a very small camera enabling its use in endoscopic surgical robotic operations or minimal invasive surgery and NanEye is expected to be supplied at low prices for single time use.

Automatic illumination planning for robot vision inspection system

Abstract High-quality original image is very important in robot vision inspection system and illumination is a significant component that directly affect cameras optical imaging system and plays a decisive role on image quality. To guarantee camera imaging system for high-quality images and achieve automatic illumination control in the motion of inspection robot under dark environment, this paper proposes an optimal light intensity planning method based image quality analysis. It is mainly achieved by building a computational model to automatically predict optimal light intensity values for desired image quality when camera observation distances fluctuate. Before regression modeling, it is necessary to extract discriminative features representing image quality. We design feature extractor by deep learning instead of human engineers which required careful engineering and considerable domain expertise. Deep learning methods are representation-learning methods that allows a machine to be fed with raw data and to automatically discover the representations needed for regression or classification. Experimental results demonstrate the feasibility and efficiency of this method.

Supervisory System Design and Implementation of Automatic Illumination Control for Dimmable Flat LED Lighting Devices in Buildings

Supervisory System Design and Implementation of Automatic Illumination Control for Dimmable Flat LED Lighting Devices in Buildings

Trans-palpebral illumination: an approach for wide-angle fundus photography without the need for pupil dilation.

It is technically difficult to construct wide-angle fundus imaging devices due to the complexity of conventional transpupillary illumination and imaging mechanisms. We report here a new method, i.e., trans-palpebral illumination, for wide-angle fundus photography without the need for pupil dilation. By constructing a smartphone-based prototype imaging device, we demonstrated a 152° view in a single-shot image. The unique combination of low-cost smartphone design and automatic illumination optimization promises an affordable solution to conduct telemedicine assessment of eye diseases, which will improve access to eye care for patients in rural and underserved areas.

Automatic illumination compensation device based on a photoelectrochemical biofuel cell driven by visible light.

Inverted illumination compensation is important in energy-saving projects, artificial photosynthesis and some forms of agriculture, such as hydroponics. However, only a few illumination adjustments based on self-powered biodetectors that quantitatively detect the intensity of visible light have been reported. We constructed an automatic illumination compensation device based on a photoelectrochemical biofuel cell (PBFC) driven by visible light. The PBFC consisted of a glucose dehydrogenase modified bioanode and a p-type semiconductor cuprous oxide photocathode. The PBFC had a high power output of 161.4 μW cm(-2) and an open circuit potential that responded rapidly to visible light. It adjusted the amount of illumination inversely irrespective of how the external illumination was changed. This rational design of utilizing PBFCs provides new insights into automatic light adjustable devices and may be of benefit to intelligent applications.

Myoton Pro: A Novel Tool for the Assessment of Mechanical Properties of Fascial Tissues

s 527 Myoton Pro: A Novel Tool for the Assessment of Mechanical Properties of Fascial Tissues Aleko Peipsi, Ricardas Kerpe, Heike Jager, Sonja Soeder, Christopher Gordon, Robert Schleip Fascia Research Group, Division of Neurophysiology, Universitat Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany Figure 1 A) The cell phone size of the Myoton Pro plus its automatic illumination of the indentation probe allow for improved precision of the data acquisition. B: The device measures the displacement, velocity and acceleration of the tissue response. From these data five different biomechanical tissue parameters are gained. A S C IA S C IE N C E A N D C L IN IC A L A P P L IC A T IO N S : A B S T R A C T S Background The digital measurement tools Myoton-2 and Myoton-3 proved to be reliable and useful for assessing biomechanical properties of myofascial tissues (1,2,3). These tools create a constant pre-load of the soft tissue via a movable indentation probe, which is then rapidly released and the tissue response (damping oscillation) of the tissue is measured.

Illumination Control System and Drive Design of Large Power LED Lights

In view of the LED lights' high efficiency property, compared to the common driving circuit of large power LED, ARM microprocessor and Buck-Boost power converter are used to design the high efficiency LED lights' driving circuit. At the same time, PID adjustment mode is applied to realize Illumination control of the high efficiency LED lights, which improves the adjustable speed of the system and reduces the power loss. According the principle of design, experiment platform is rebuilt. Tests to the different kinds of lamps indicate that the driving is stable and realizes the Illumination setting and automatic Illumination adjustment.

Automatic illumination and color compensation using mean shift and sigma filter

We present a novel framework for automatic illumination and color compensation algorithm using mean shift and the sigma filter (ICCMS) to restore distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computational cost for HW implementation. We show the efficiency of the mean shift filter and sigma filter for illumination compensation with small sized kernel while considering the processing time and removing the artifacts such as HALO and noise amplification. The proposed color restoration function can restore the natural color and correct color noise artifact more perceptually compared with conventional methods. For the automatic processing, the image statistics analysis estimates suitable parameter and all constants are pre-defined. We also introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The object evaluation is performed by CMC, CIEde2000, PSNR, SSIM, and 3D CIELAB gamut with state-of-the-art research and existing commercial solutions.

Automatic illumination correction for scene enhancement and object tracking

An important challenge for any vision system is to accommodate varying illumination conditions. We device an automatic correction scheme that transforms images under some unknown illumination to match an illumination model learnt for a known illumination. We test the scheme on both color and gray level imaging scenarios. Skin color based hand tracking is our reference problem for testing the scheme in color imaging scenario. An automatically extracted palm region from initial frames in the sequence serves as an observed skin color palette. During training phase a feed-forward neural network learns the weights that map the observed palette to a pre-stored (target) skin color palette. The pre-stored palette represents ideal illumination conditions where the tracker gives reliable results. The look up table so generated then enhances skin regions in successive frames of the image sequence, thus improving the performance of the tracker. This approach enables a reliable tracking of hand in image sequences with wide variations in illumination. In order to defining correspondence between source and target palettes, a fuzzy c-means clustering scheme is used to segment images into regions. The histograms of matching clusters are used to transfer the contrast in poorly illuminated images to enhance the contrast.

Engineering design of an image acquisition and analysis system for dendrochronology

The design and implementation of a computer-vision-based analysis system for dendrochronology are described. The primary issues covered are automatic focus detection, illumination distortion, spatial and radiometric registration of a sequence of images into a single mosaic, and edge detection and linking. These issues are not unique to the ap- plication, but are likely of interest to anyone developing automated image analysis systems. A modification of the Canny edge detection algorithm that adapts to the variable characteristics of tree-ring images is also described. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)01502-6)

Augmented reality with automatic illumination control incorporating ellipsoidal models

In applications of augmented reality like virtual studio TV production, multisite video conference applications using a virtual meeting room and synthetic/natural hybrid coding according to the new ISO/MPEG-4 standard, a synthetic scene is mixed into a natural scene to generate a synthetic/natural hybrid image sequence. For realism, the illumination in both scenes should be identical. In this paper, the illumination of the natural scene is estimated automatically and applied to the synthetic scene. The natural scenes are restricted to scenes with nonoccluding, simple, moving, mainly rigid objects. For illumination estimation, these natural objects are automatically segmented in the natural image sequence and three-dimensionally (3-D) modeled using ellipsoid-like models. The 3-D shape, 3-D motion, and the displaced frame difference between two succeeding images are evaluated to estimate three illumination parameters. The parameters describe a distant point light source and ambient light. Using the estimated illumination parameters, the synthetic scene is rendered and mixed to the natural image sequence. Experimental results with a moving virtual object mixed into real video telephone sequences show that the virtual object appears naturally having the same shading and shadows as the real objects. Further, shading and shadow allows the viewer to understand the motion trajectory of the objects much better.

A low cost computer-controlled system for the rapid evaluation of liquid crystal test samples

This paper reports the development, as a student project, of an inexpensive system for the evaluation of liquid crystal test samples. The test assembly is of dimensions 150*110*140 mm, and is interfaced to a personal computer through a system control box. The computer interacts with the user through a menu system, and regulates a number of features of the system such as automatic illumination calibration to avoid saturation. This system is able to provide information on activation voltages, response times and can produce polar plots of the transmitted intensity.