Automatic Light Research Articles

IoT Based Smart Traffic Management System using Image Processing and Automated Street Lighting System

Through the integration of image processing, IoT, and automatic street lighting, this study presents a novel solution to urban traffic management. Real-time traffic data, such as vehicle counts and congestion levels, are continuously collected by smart cameras positioned at strategic intersections. A central control unit receives this data and uses sophisticated algorithms to dynamically modify traffic signal timings. Additionally, by including sensors to identify surrounding cars and pedestrians, an automatic street lighting system improves sustainability. This system helps save energy and money by optimizing energy consumption through the ability to change lighting intensity levels as needed. In general, this Internet of Things (IoT)-based smart traffic management system improves efficiency and safety for both commuters and locals by addressing congestion and fostering sustainable urban development

Computer Simulation of a Digital System of Automatic Lighting Control

Computer Simulation of a Digital System of Automatic Lighting Control

A Low-Power High-Sensitivity Photocurrent Sensory Circuit with Capacitive Feedback Transimpedance for Photoplethysmography Sensing.

This study presents an integrated analog front-end (AFE) tailored for photoplethysmography (PPG) sensing. The AFE module introduces a novel transimpedance amplifier (TIA) that incorporates capacitive feedback techniques alongside common drain feedback (CDF) TIA. The unique TIA topology achieves both high gain and high sensitivity while maintaining low power consumption. The resultant PPG sensor module demonstrates impressive specifications, including an input noise current of 4.81 pA/sqrt Hz, a transimpedance gain of 18.43 MΩ, and a power consumption of 68 µW. Furthermore, the sensory system integrates an LED driver featuring automatic light control (ALC), which dynamically adjusts the LED power based on the strength of the received signal. Employing 0.35 µm CMOS technology, the AFE implementation occupies a compact footprint of 1.98 mm × 2.475 mm.

Design Of Automatic Lighting Instructions Based On Pir Gen 3 Sensors for Physics Learning in The Electronics Skills Course

This research produces an automatic light physics demonstration tool based on a PIR sensor in the Electronics Skills course. This type of research is development research which refers to the 4-D model according to Thiagarajan with 4 stages including the definition, design, development and dissemination stages. This research was tested in the Physics Education Study Program. Data collection techniques in this research include observation, interviews, and questionnaires. The data analysis technique used is descriptive statistical analysis. The results of this research obtained several findings including: (1). The product is a PIR sensor-based automatic light electrical circuit demonstration tool; (2). The feasibility test of teaching aids with an average rating of 33.33% Agree (S) and 66.67% Strongly Agree (SS), and the feasibility test of teaching aids with an average rating of 51.85% Agree (S) and 48.15% Strongly Agree (SS). Test the readability of students' responses to teaching aids and teaching aid guides with an average rating of 3% Disagree (TS), 43% Agree (S) and 54% Strongly Agree (SS). Based on the test results, it can be concluded that the PIR sensor-based automatic light electrical circuit teaching aids and guides are suitable for use in physics learning

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions and positively influence behavior. Intelligent RGB lighting systems based on environmental data measurements can substantially enhance the perception of comfort. This study presents a challenge that requires a holistic and integrated approach to implement an automatic RGB artificial lighting control system that can be utilized in various structures and indoor environments. Initially, the challenge spans the identification of environmental variables directly impacting comfort up to the careful selection of suitable sensors. The result is the development of a sophisticated and autonomous system that can adjust RGB lighting in real time, creating environments that are both comfortable and energy-efficient. This automated system fosters the creation of appropriate atmospheres across different contexts. The identification and monitoring of environmental variables are achieved through a neuro-fuzzy control mechanism, where fuzzy rules and membership functions are defined based on late positive potential timings and the influence of artificial lighting on human emotions. The outcomes from this study are an interconnected system capable of performing both online and offline operations to enable the monitoring of environmental variables and the efficient management of artificial lighting based on these metrics. A pilot study, with reference to an EEG wave registry system, yielded significant results. These tests had a statistically relevant result with an average frequency of approximately 9.8 Hz, indicative of a state of comfort among people. Despite a 10% deviation margin, 87% of measurements during the test remained consistent. This research study contributes to human behavior by fostering a relaxing environment and enabling a reduction in energy consumption through the use of efficient lighting. Moreover, the environment intention enables the creation of stimuli in three emotional states: activation, relaxation, and neutral, allowing behavioral adaptation to an intention to occur automatically in fluctuating environmental conditions.

IoT Based Smart Helmet for Industry Rutuja Kokate

The safety and well-being of industrial workers has become a primary concern for organizations worldwide. One of the critical aspects of industrial safety is the use of personal protective equipment (PPE), including helmets. This project proposes the development of an IoT-based smart helmet designed to enhance the safety and efficiency of industrial workers. The smart helmet integrates multiple sensors, such as temperature, humidity, motion, and gas sensors, to monitor the worker's environment in real-time. These sensors gather data on potential hazards like extreme temperatures, toxic gases, or sudden impacts. The helmet also includes a communication system that enables seamless interaction with control centers or other team members. The mining industry, a vital contributor to global economic growth and infrastructure development, grapples with inherent safety challenges posed by hazardous environments and unpredictable events. In response to these concerns, this abstract introduces the "Smart Helmet for Air Quality and Hazardous Event Detection" – a groundbreaking technology tailored specifically for mining. This advanced helmet integrates sensors like the MQ3 gas sensor, temperature and humidity sensors, LED lights with automatic controls, and a GPS module. Real-time data from these sensors are transmitted to an IoT platform, enabling continuous monitoring and immediate alerts. Traditional safety measures, including personal protective equipment and periodic monitoring, fall short in addressing the dynamic conditions of mining environments. The Smart Helmet offers a comprehensive solution by providing continuous air quality and environmental monitoring, coupled with automatic lighting and location tracking. This innovation marks a paradigm shift in mining safety, addressing the urgent need for proactive measures to safeguard the well-being of miners in the face of persistent safety challenges. Key Words: Safety, Sensors, IoT, Smart Helmet, Air quality monitoring

Solar Lights for Highways with Zone-Wise Speed Control System for Vehicle

The challenge of providing adequate lighting along highways, particularly at critical points such as sharp turns and speed breakers, poses significant safety concerns. Traditional energy sources often fail to meet the demands of continuous lighting, especially in remote areas. To tackle this challenge, we present an automatic lighting system aimed at selectively activating lights during nighttime while also reducing vehicle speed near or at danger zones. Entire system is designed as automatic, human involvement is not required; lights are controlled automatically by sensing the vehicles. Whenever the vehicle enters into the danger zone, lights will be energized and they remain in ON state until the vehicle leaves that area. The system will be activated automatically during dark. In this method precious energy acquired from the solar panel can be saved. During the day time the battery will be charged and this stored energy is utilized in the nights[10]. It is a novel approach to vehicle navigation and safety implementation, and also aimed at automatically sensing the areas/zones like Schools, Hospital Accident, etc and automatically reducing the speed of the vehicle for safety purposes.

Implementation of a Fully Automatic Four-way Traffic Light Controller Using Verilog

The traffic control system is one of the challenging problems in metropolitan and developed cities. This is due to the large number of vehicles and the high dynamics of the traffic system. Impoverished traffic systems are the big reason for accidents and time losses. In this project, the Fully Automatic Four-way Traffic light controller is implemented by using Verilog and we have overcome some drawbacks i.e., we included the area detection parameter that improves the detection of vehicles compared to the design part in the base paper.

Perancangan Sistem Kontrol Lampu Otomatis Berbasis Suara Menggunakan Arduino

<p><em>Automated control of electrical devices such as lights or lighting plays an important role in energy management in various places. One of the best solutions to achieve efficiency is through automation of electrical devices. This automatic voice-based light control system uses the Arduino platform to manage the operation of lights based on user voice commands. Users only need to give voice commands such as clapping their hands to control the lights. The main purpose of this system is to facilitate interaction between users and lights, avoid the use of manual switches, and minimize the risk of short circuits. This research provides benefits in terms of saving resources, time, cost, and increasing the service life of electrical components.</em></p><p><em> </em></p><p><strong><em>Keyword</em></strong><em>: C Programming Language</em>, <em>Microcontroller</em>, Arduino Mega, <em>Sound Sensor</em> KY-037<em> </em></p>

Development and Working Test of Microcontroller-based Automatic Seedling Tools for Hydroponic Systems

The purpose of this study is to design a tool that is able to monitor moisture and light automatically and knowing the performance of lettuce seeding tools that are able to monitor moisture and light automatically, this research is descriptive research using the type of Research and Development (R &; D) research with the Waterfall method. The variables controlled are light and moisture using soil moisture sensors and grow light. The automatic seedling tool modification process consists of 3 stages including making mechanical components, electronic comments, and functional checking and product testing. The data obtained from the sensor readings will be displayed through the LCD screen on the control box. The results showed that the seedling tool can monitor moisture when the moisture is below 60%, the pump will be on and when the moisture is above 60%, the pump will be off, and the light produced with grow light will turn on at 06.00 to 18.00 pm every day. Researchers recommend adding moisture to every shelf, growing lights or LED sensor lights, and fans for further research based on their findings. As a consideration and reference resource addressing the current science on the manufacture and performance test of seedling tools that are able to monitor moisture and light automatically. incorporating the most recent ideas and information on creating and evaluating seedling equipment with automatic light and moisture monitoring. It is anticipated that this researcher will serve as a seeding industry reference.

Automated infrared ashing with palladium nitrate as an ashing aid for the determination of selenium in plant foods by inductively coupled plasma mass spectrometry.

Based on the automatic light wave ashing instrument, palladium nitrate was used as an ashing aid for the first time to collect selenium in the process of food ashing pre-treatment, and a method for the determination of selenium in food by ashing method was established with inductively coupled plasma mass spectrometry. At the same time, the effects of magnesium nitrate, rhodium nitrate, and nickel nitrate as ashing aids on selenium collection were investigated using certified plant standard materials. The capture of selenium by magnesium nitrate, rhodium nitrate, and nickel nitrate as ashing aids did not exceed 50%. Using palladium nitrate as an ashing aid, six food standard materials were measured, with selenium recovery rates ranging from 97 to 106%. A complete analysis cycle can be completed within an hour. The method detection limit of selenium was 0.021μgg-1, and the relative standard deviation of five measurements was less than 7%. The experimental results show that palladium nitrate is an excellent ashing aid for capturing selenium, and it is far superior to the other three aids. In addition, the mechanism of palladium nitrate as an ashing aid for capturing selenium was discussed.

Elevational Earth-Sheltered Buildings with Horizontal Overhang Photovoltaic-Integrated Panels—New Energy-Plus Building Concept in the Territory of Serbia

The global scientific community is intensively promoting energy-plus buildings. Following the leading world trends, this paper presents a new energy-plus building concept—elevational earth-sheltered buildings with three different types of horizontal overhang photovoltaic-integrated panels: wooden support columns covered with clay tiles, steel pipes as support columns covered with sheet steel, and concrete support columns with concrete coverage. In this instance, the specific multi-numerical case study building model for the city of Kragujevac (located in central Serbia with favorable climatic conditions) was performed over 7 months (from 1 October to 30 April), taking into account the soil temperature, the effects of solar shading, the performance of the heating system—a ground source heat pump—and the characteristics of the artificial and automatic lighting control system. The simulation results show that the optimal depth of a horizontal overhang (energy-plus status) depends on the occupant’s habits, in addition to meteorological conditions. The presented methodology can be used for any other location, both in Europe and the world.

Design of Automatic Lighting Installation Props Using Photocell and Motion Sensors

This teaching aid design approach is based on compiling learning materials that are fully necessary to achieve the desired understanding and skills. In the lighting installation subject, vocational electrical power installation techniques at SMK Negeri 2 Sinabang, there needs to be more demonstration media, which causes problems for students who find it very difficult to understand lighting installations and put them together. With this teaching aid medium, it is hoped that it can help students' understanding of installing lighting installations and improve student learning outcomes so that learning objectives are achieved. This teaching aid is designed to be a learning medium as a teacher's aids in teaching material on automatic lighting installations using photocell sensors and motion sensors in electrical power installation subjects. To determine the suitability of the props, a research instrument was made in the form of a media validation sheet, material validation, and questionnaire validation. The learning outcomes of students are known by providing several pre-test and post-test questions so that they can be used as a reference for how successful or appropriate the teaching aids are to be applied to students and lighting installation subjects. Based on the percentage results obtained from media expert validation, namely 89%, and material expert validation, namely 100% from the validator assessment, learning outcomes through the pre-test were 28% and the post-test 83%. The results obtained were based on validation showed "Very Feasible."

CONSERVE CONVENTIONAL ENERGY RESOURCES BY SMART CITY LIGHTS

Our conventional energy resources are being rigorously used day by day. If the same practice goes on there will be no time that it will get extinct and probably, it will be all history to our future generation. Proposed methodology “CONSERVE CONVENTIONAL ENERGY RESOURCES BY SMART CITY LIGHTS”. This proposed system will consume very less electricity as the lighting of the area will be such a way that, it will work productively efficient throughout. In any city, street light is one of the major power consuming factors, most of times we see street light are on even after sunrise thus wasting lot of energy. To avoid this problem of energy wastage, this proposed methodology has automatic street light control base system with the super combination of IoT. This is less power consuming and security base system. The main perspective of this proposed system is to save the electricity. Key Words - Conventional Energy, MTBF, MTTR, Odd-Even, Display Reader, Regenerative Speed Breaker

Automatic Street Light Control Using IoT and Solar Energy

The concept of automatic street light illumination based on IoT (Internet of Things) is becoming increasingly popular in smart city development. This system involves the use of sensors and wireless communication technologies to automate the operation of streetlights. The system works by installing sensors, such as light sensors or motion sensors, on the streetlights. These sensors detect the presence of people or vehicles and adjust the intensity of the streetlights accordingly. For example, if there are no vehicles or pedestrians around, the system will dim the streetlights to save energy. On the other hand, if there is activity detected, the system will increase the brightness of the lights.

Improving environmental sustainability in Hospitality and Tourism: the key strategies

The Hotel and Tourism Industry has experienced profound changes in recent years and has been one of the sectors most affected by COVID-19. With the return of tourist activity, many companies went back to their normal routines, but the sector has changed dramatically. Tourists have new expectations, needs, and priorities, and sustainability is the one that is most emphasised, particularly when it comes to excessive water consumption, misuse of energy, and poorly utilised waste. The industry has a unique opportunity to recognise the importance of sustainability and define strategies to guarantee customer satisfaction, in symbiosis with environmental concerns and the preservation of the planet for future generations.
 This study aims to characterise the good strategies and practices for environmental sustainability in Hospitality and Tourism, namely in terms of energy, water, and waste. The purpose is to present the procedures and processes that lead to greater sustainability performance and to accomplish this a focus group was organised, with 2 hospitality stakeholders, 2 environmental groups stakeholders, and 2 VET (Vocational Education and Training) stakeholders, to discuss and identify the main factors directly related to the excessive use of water and energy and the poor treatment of waste and ranked by the participants. The meeting was done face-to-face, lasted 3 hours, and was based on their expertise and good practices. The Hospitality and Tourism Industry is conscious of its ecological footprint, namely in terms of energy efficiency, water conservation, and waste management. Considering energy, some examples were given such as electricity-saving practices, using LED bulbs, occupancy sensors, and automatic light controls. With respect to water, it is mandatory to install low-slip faucets and shower heads, reduce laundry and cleaning, and recycle water that can be reused for irrigation or toilet flushing, reducing the use of fresh water.
 The research presented contributions to the growing Knowledge on this topic, and the findings propose a straightforward guide for managers in the Hospitality and Tourism industry. Further research is endorsed to reinforce the value of environmental sustainability and to involve a greater range of stakeholders with different profiles in the sector.

IoT based Smart Poultry Management System

This research focuses on the development of an intelligent system utilizing embedded frameworks and smartphone technology for monitoring and managing chicken farms. The proposed system aims to control environmental parameters and automate feeding and water supply, offering a cost-effective, asset-saving, and quality-oriented approach to poultry farming. By leveraging smart devices and IoT technologies, this system can replace manual labour, addressing industry labour challenges and introducing semi-automation. The system encompasses tasks such as feeding using a container, water supply through nipple waterers, temperature and humidity regulation with fans and heaters, automatic lighting, and real-time environmental monitoring accessible through IoT cloud data. This technology-driven solution holds promise for enhancing productivity and efficiency in poultry farming and broader agricultural applications.

Illuminating arthropod diversity in a tropical forest: Assessing biodiversity by automatic light trapping and DNA metabarcoding

AbstractAlthough studies of insect decline have recently dominated headlines worldwide, their interpretation requires caution since for most species, we lack long‐term population baselines. In the tropics, where most insect species thrive, our knowledge is even more limited and so reliable insect assessments must originate from well‐established long‐term monitoring efforts. Combining the extensive monitoring data from the Arthropod Program of the Smithsonian Tropical Research Institute (STRI) on Barro Colorado Island (BCI), Panama, we compare whether known arthropod diversity can be detected through metabarcoding of bulk insect samples obtained through automatic light‐trapping. Our study detected 4402 species based on Barcode Index Numbers (BIN) and detected fine‐scale differences between wet and dry seasons and sampling localities. We further refined our analysis to indicate which families and genera explained seasonal turnover. Using samples collected in parallel, but sorted manually as part of the ongoing arthropod monitoring program, we compared these methods. Out of 538 BINs recovered through manual sorting, there was a 70% overlap with the metabarcoding data; however, it represented 30% of the total BINs detected through metabarcoding. Expecting higher detection through metabarcoding, we also compare the results with the 14 years of sampling in BCI to better understand how well the monitoring program has captured the diversity of focal groups. Our results revealed a ~50% overlap between both methods and similar total catch. Barcode Index Numbers manually detected but not recovered by metabarcoding highlight some of the limitations of molecular detection methods such as primer bias. Contrastingly, BINs detected with metabarcoding, but not recovered by the traditional monitoring scheme, highlight the importance of local and regional barcode reference libraries.

Advancing affordable IoT solutions in smart homes to enhance independence and autonomy of the elderly

There is a growing trend among elderly people to live alone and this trend is expected to increase in the future. Social isolation and limited support can have a negative impact on the physical and mental well-being of older adults. The increasing life expectancy and expanding geriatric population necessitate the development of innovative solutions to support their health, independence, and autonomy. This article addresses the key challenges and issues confronting the elderly and analyzes various IoT technologies and solutions proposed to enhance their lives. Smart home technologies improve the quality of life and enable older adults to live independently in their own homes while their adult children are at work. This article presents a smart home model for the elderly in Kazakhstan, based on their needs, concerns, and financial capabilities. The proposed prototype will be developed using an accessible, open-source intelligent system that includes health monitoring, medication adherence monitoring, alerting family members in case of falls or deteriorating health indicators, and video surveillance. Another advantage of this system is the automation of processes such as automatic lighting control, voice command functionality, home security, and climate control. Preliminary testing of the hardware model shows promising results, with plans for continuous improvement and evaluation as it is deployed. Key criteria for its implementation include affordability, accessibility, and feasibility. Based on Kazakhstan’s unique socio-cultural and economic context, this paper proposes a sophisticated smart home model tailored to the specific needs and financial capabilities of elderly Kazakhs.

Advancements in Embedded Systems and IoT for Automatic Heavy and Light Vehicle Parking: A Comprehensive Review

This research paper comprehensively reviews automatic heavy and light vehicle parking systems, focusing on technological advancements in Embedded Systems and the Internet of Things (IoT). The escalating challenges in urban parking demand innovative solutions, and this paper assesses various literature surveys to explore the efficacy of these technologies in addressing the unique requirements of heavy and light vehicle parking. The investigation scrutinizes embedded systems as a foundational element, examining their hardware and software integrationto develop automated parking solutions. Additionally, the study explores the role of IoT in enhancing parking efficiency, leveraging sensors and communication technologies for real-time data acquisition and intelligent decision-making. Through an analysis of diverse literature surveys, this paper elucidates the strengths and limitations of different technological approaches, providing a comprehensive understanding of the state-of-the-art in automatic heavy and light vehicle parking. The synthesized insights are valuable for researchers, practitioners, and policymakers seeking to implement effective and scalable parking solutions in urban environments