Light Intensity Values Research Articles

Green Building Design Based on 5G Network and Internet of Things System

An information-based and intelligent comprehensive energy consumption management system should not only collect, manage, and analyze energy consumption data but also monitor the environmental data inside the building, to manage and display the real energy consumption and internal environmental quality more effectively and reliably. In order to solve this problem, the design and construction of the front-end hardware of the energy consumption management system are proposed, mainly including the design of data acquisition node and data centralization end. The design of data acquisition node includes the selection of DSP controller, wireless communication module, and data acquisition module and the design of main circuit and peripheral circuits. The design of data centralization end includes the selection of its high-performance processor and the transplantation of Linux operating system. This paper only introduces the design and research of lighting control algorithm and applies fuzzy control algorithm to intelligent lighting. The fuzzy control system is introduced, and a fuzzy controller based on intelligent lighting is created. The fuzzy control rule table and fuzzy control query table of the intelligent lighting system are obtained through the fuzzy control algorithm. According to the basic rules of light intensity control, when the indoor light intensity is greater than the set value of light intensity, the LED lamps are turned off, so when e < 0 , the LED lamp is off and the PWM output value is 0. Therefore, when designing the fuzzy controller of intelligent lighting system, the basic domain of illumination intensity error E is 0500 , excluding the case that the indoor illumination intensity is greater than the set value of illumination intensity.

Impact of reaction parameters for photodegradation pharmaceuticals in wastewater over gold/titania photocatalyst synthesized by pyrolysis of NH2-MIL-125(Ti)

The efficient remediation of pharmaceuticals, including wastewater, remains a remarkably challenging issue for water regeneration. Herein, porous Au/TiO2 synthesized by pyrolysis of NH2-MIL-125(Ti) was utilized to be an efficient photocatalyst for mineralization of trimethoprim (TMP) and Metronidazole (MNZ) as the parent compound. The effects of different factors, including TMP and MNZ concentrations, light intensity, H2O2 concentration, Au/TiO2 dosage, and pH value of reaction solution on the degradation and mineralization performances during UV and visible light (VIS), were addressed. The porous Au/TiO2 photocatalyst exhibited superior photocatalytic degradation of TMP and MNZ under UV and VIS illumination. The optimum pH values were 4; the optimum dosage of Au/TiO2 was 1.5 g/L, H2O2 concentration was 9.8 mM, TMP and MNZ concentrations was 10 ppm, and their photodegradation efficiency was 100% after 30 min illumination time and mineralization efficiency 98.2% after 3 h illumination for TMP and MNZ, respectively under UV illumination, however, the photodegradation efficiency was 100% after 50 min illumination and mineralization efficiency 96.3% after 4.5 h illumination time for TMP and MNZ, respectively under VIS illumination. The real wastewater matrix with 10 mg/L of TMP and MNZ were subjected to 60 min of illumination under similar optimum conditions of synthetic solution. The results indicated that photodegradation efficiency was determined to be 100% after 70 min illumination time for removal of both TMP (k = 3.4 × 10−2 min−1) and MNZ (k = 2.87 × 10−2 min−1). This is ascribed to the incorporation of Au NPs onto TiO2, reducing the photoinduced electron-hole recombination, thus promoting the photocatalytic performance. The possible mechanism for photodegradation of antibiotics was also discussed. The demonstration of photocatalysis mechanism over Au/TiO2 photocatalyst can provide some directing in the enhancement of novel photocatalysts based on MOFs doped by noble metal.

A reaction–diffusion model for grayscale digital light processing 3D printing

Digital light processing (DLP) 3D printing is an additive manufacturing process that utilizes light patterns to photopolymerize a liquid resin into a solid. Due to the accuracy of modern digital micromirror devices (DMD) and recent advances in resin chemistry, it is now possible to create functionally graded structures using different light intensity values, also known as grayscale DLP (g-DLP). Different intensities of light lead to differences in the polymer crosslinking density after curing, which ultimately produces a part with gradients of material properties. However, g-DLP is a complicated process. First, the DLP printing is a highly coupled chemical and physical process that involves light propagation, chemical reactions, species diffusion, heat transfer, volume shrinkage, and changes in mechanical behaviors of the curing resin. Second, in g-DLP, light gradients create strong in plane gradients of chemical species concentrations in the curing liquid resin due to the strong dependence of light intensity on the rate of monomer crosslinking. Furthermore, light gradients through the depth create concentration gradients due to the degree of cure dependent light absorption and the use of photoabsorbers. These complex physical features of the printing process must be understood in order to properly control printing parameters such as light exposure time, printing speed, and grayscale variations to achieve accurate mechanical properties. In this paper, a photopolymerization reaction–diffusion model is developed and used in conjunction with experiments to investigate the coupled effects of light propagation, chemical reaction rates, and species diffusion during g-DLP 3D printing. The model is implemented numerically utilizing the finite difference method and simulation results are compared to experimental findings of simple printed structures. The agreement between experimental and model predictions of simple quantities of interest, such as geometric feature sizes, shows that the model can capture the overcure due to free-radical and other species diffusion during printing when grayscale patterns are employed. This model lays the groundwork for future extensions that can incorporate more complex coupled physics such as heat transfer, volume shrinkage, and material property evolution, which are critically important in utilizing g-DLP 3D printing for the fabrication of high-performance parts which excellent geometric and material property tolerances.

UFLPlus: An Underwater Fish Lamp Technology as an Innovation of Fish-Luring Aids on Boat Lift Net

Highlight ResearchDipped lamp technology with CCTV (UFLPlus) to catch fish was designed in such a way that the placement of components contained was integrated, water-proof, and having a good light distribution.The existence of a CCTV in new innovated UFLPlus that can record events in the water and greatly assist fishing activities of fishermen on passive fishing gear such as boat charts.UFLPlus worked well to increase the number of hauling every night of fishing (from 20-30 kg to 50-60 kg per hauling).AbstractThe usage of underwater immersion lights outfitted with CCTV is a technological innovation that is expected to solve the inadequacies of the acoustic work system while also improving the existing underwater immersion light work system. Underwater Fish Lamp Plus (UFLPlus) technology can attract attention and directly monitor the condition of fish in the sea from the boat. The purpose of this study was to understand how the UFLPlus was designed and constructed; to test its performance using lamplight, waterproof, and immersion tests; to learn how the light distribution pattern is formed; and to learn the state of the catch. The study was separated into two phases: the design and fabrication of UFLPlus, and numerous laboratory-scale experiments and outdoor trials with boat lift net fishing gear. The results reveal that UFLPlus performed effectively in the field after all of its physical components were tested in the laboratory, and that the values of light intensity and light distribution patterns are still in accordance with the level of adaptation to light reception on the fish retina. During the trial catch, 62 kg of anchovy (Stolephorus sp.), 27 kg of ponyfishes (Leiognathus sp.), 32.5 kg of fringe-scale sardinella (Sardinella fimbriata), and 17.5 kg of yellow-stripe scad (Selaroides leptolepis) were caught. UFLPlus was capable of functioning as an underwater immersion lamp that attracts fish attention and directly monitors the arrival of fish in the water in the fishing area.

2021 Elijah High-Altitude Balloon Payload

The 2021 WSGC Elijah High-Altitude Balloon Payload Team focused their projects on the upcoming 2024 solar eclipse. These included solar sensing, solar imaging, and the study of cosmic radiation. The solar sensing project involved collecting flight data such as altitude, temperature, and pressure. In addition to this data, quantitative UVA, UVB, light intensity, and solar energy values using various sensors and solar panels. Solar imaging utilized an action camera with solar, IR, and IR cut-off filters in conjunction with a 360-degree camera that captured the entire payload’s flight. The radiation shielding project focused on studying the effectiveness of low-density polyethylene as a radiation shielding material by comparing observations collected by shielded and unshielded Geiger counters. To observe radiation originating from nearby star systems, a particle detector consisting of a scintillator coupled to a silicon photomultiplier was constructed.

Difference Long Irradiation on The Growth Rate of Kappaphycus Alvarezii

The study aimed to find out the long-standing difference in irradiation to the growth rate of Kappaphycus alvarezii in controlled containers. The method used is experimental. This study used a Complete Randomized Design (RAL) using four (4) treatments with 3 repeats, namely the treatment of P1 control (without irradiation), P2 (8 hours of irradiation), P3 (10-hour irradiation), P4 (12-hour irradiation). The data were analyzed using analysis of variance (ANOVA) at a rate of 5% with a confidence interval of 95% and continued with the Duncan test. In this study, the average results of absolute weight and the highest specific daily growth rate at P4 treatment of 25.67±1.53 gr, 3.30±0.06%, followed by P3 treatment 21±2 gr, 3.11±0.09%, P2 treatment 16±1 gr, 2.87±0.06%, and lowest P1 treatment 12.33±2.08 gr, 2.63±0.15%. The average value of light intensity in each treatment is P1 1053±41.00 lux, P2 1256±27.71 lux, P3 1479±0.58 lux, and P4 1668±34.64 lux. Water quality parameters during maintenance are in the normal limit range for seaweed maintenance. D treatment produces the highest growth value this is because the light is an energy source in the process of photosynthesis, in chlorophyll plants, photosynthesis is the main process determining the rate of growth. The quality and amount of light that enters affects the growth of seaweed. This research concluded that the maintenance of Kappaphycus alvarezii in controlled containers with different irradiation had a significant effect on growth. 12 hours irradiation (P4) gave the best growth with an absolute weight of 16.00 g, and a specific growth rate of 4.06% per day and gave the highest chlorophyll-a value of 2.72 mg/l. Meanwhile, the highest phycoerythrin value was found in (P1) without irradiation, which was 4.58 mg/l.

Optimization of the algal species Chlorella miniata growth: Mathematical modelling and evaluation of temperature and light intensity effects

Growth of Chlorella miniata , a green microalga was investigated during this study under various temperature and light intensity values with the purpose of determining growth rate changes of the microalgae with cultivation parameters, experiments were carried out using airlift photobioreactors with a study volume of 6 L. Culturing conditions were between 66 and 385 μmol photon m −2 s −1 and between 14 and 30 °C for light intensity and ambient temperature, respectively. Acquired data were then used to test various mathematical models for coherency with experimental results. Aiba Model for light intensity and Skewed Normal Distribution Model for temperature parameters performed superior compared to the rest of the mathematical models used during the study. Utilizing both mathematical models a novel model was deduced to express effects of both light intensity and temperature parameters in combination on algal growth. Then the developed model was used to calculate the optimum growth condition of the species. The proposed mathematical model showed good coherency with experimental data and an average relative error of 1.97% for both temperature and light intensity effects on algal growth. The theoretical optimum temperature and light intensity for the maximum specific growth rate were calculated to be 22.43 °C and 291.5 μmol photon m −2 s −1 respectively. • The theoretical optimum temperature for growth was calculated to be 22.43 °C. • The theoretical optimum light intensity for growth was calculated to be 291.5 μmol photon m −2 s −1 . • Aiba model was selected for describing light intensity growth relationship. • Skewed Normal Distribution Model was selected for temperature growth relationship.

MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification

Hyperspectral imaging (HSI) greatly improves the capacity to identify and monitor ground objects due to the high spectral resolution. As the real-time remote sensing monitoring and warning tasks are getting more attention, new algorithms for low-power on-board classification are required to reduce the transmission time of satellite downlink. In this paper, we propose the Multi-Scale Local Maximum Random Forest (MSLM-RF) to significantly reduce the energy consumption while retaining high classification accuracy. The proposed MSLM-RF uses multi-scale maximum filters for spatial feature extraction and Random Forest for classification after spectral and spatial features fusion. The spatial features are efficiently extracted with low computational complexity by regarding the maximum light intensity values in different ranges of pixels as anchor points. MSLM-RF only consists of integer comparisons and a few additions, thereby eliminating the energy-hungry operations such as multiplication and exponentiation. According to experimental results on the HSI benchmark datasets, MSLM-RF delivers a better trade-off in accuracy and computational complexity than the state-of-the-art classification algorithms. Besides, MSLM-RF gets higher average classification accuracy and lower energy consumption than the previous on-board algorithms. The obtained results show the suitability of the proposed algorithm to accomplish practical real-time classification tasks on-board with low energy consumption.

Search and Real-time Estimation with NN model for Reflection Parameters of an Object Surface using High-speed, High-precision Proximity Sensor

We propose a method for fast estimation of reflection parameters of an object surface using only our optical reflection proximity sensor. The sensor values are the distance to a object surface, the tilt angle, and the reflected light intensity value, and the reflection parameters are searched by comparing them with a ray-tracing simulator values. Specifically, the input values of the simulator are the sensor values and reflection parameters of an object surface, which are optimized by TPE (Tree-structured Parzen Estimator) to minimize the error between the sensor values and the simulator values. This computational procedure has the advantage of being easy to implement since it does not require any other camera devices. However, it has the disadvantage of requiring more than 9 minutes of computation time. To overcome this disadvantage, we replace the entire search process with a suitable NN model. The TPE search takes 589 seconds, but can be accelerated to 3.1 ms by replacing it with the NN model.

Firefly Algorithm For Optimizing Single Axis Solar Tracker

Solar cells mounted on solar panel modules are expected to track sunlight throughout the day to produce maximum energy. The Firefly algorithm (FA) is embedded in the Arduino Mega microcontroller to control the tracking of the sun's position by the solar panel so that the absorption of solar energy can be as much as possible to get maximum electrical energy. The brightest light captured by the solar panel is represented as the light intensity of a firefly. The output of the solar tracking system is obtained by finding the best value of light intensity between fireflies. Parameter changes in FA, such as firefly population, random numbers, and number of iterations affect the results of FA. The largest population, the highest random number and iteration provide the best solution but take a long time to execute. FA can control solar panels in tracking the sun's position precisely with an average error of 1.28% and can absorb a total energy of 666.14 Watt/day. The best solution (98% of setpoint 720) was obtained when the population was set to 50, the random number to 0.8, and iteration to 50. This research can be used as a reference for later using a controller with higher specifications to speed up the FA process time in getting maximum control results.

Sistem Pengontrolan dan Monitoring Budidaya Sarang Burung Walet Berbasis Android

Pada pembudidayaan sarang walet, peternak walet mengalami kendala terutama dalam menjaga temperatur suhu dan kelembaban ruangan pada rumah burung walet. Peternak walet harus dapat menjaga kestabilan suhu dan kelembaban serta menjaga keamanan burung walet dari hama burung hantu. Saat suhu panas, ruangan walet akan menjadi kering sehingga sarang menjadi rusak dan burung walet merasa tidak nyaman tinggal pada sarangnya. Berdasarkan hal tersebut, maka dibuat sistem pengontrolan dan monitoring budidaya sarang burung walet berbasis android. Sistem ini dapat membantu menurunkan temperatur suhu dan kelembaban pada ruangan sarang walet menggunakan mesin embun yang bekerja secara otomatis serta pintu ruang walet dapat terbuka/tertutup secara otomatis menggunakan aplikasi pada smartphone. Sistem ini dapat bekerja dengan baik jika diberi tegangan supply AC220V dan DC12V. Mesin embun akan bekerja (ON) jika suhu diatas 29°C atau kelembaban kurang dari 70%. Data hasil pembacaan sensor akan dikirimkan oleh NodeMCU ke server blynk dan ditampilkan pada smartphone. Pintu ruang walet dapat terbuka atau tertutup berdasarkan nilai intensitas cahaya yang terukur pada sensor LDR yang kemudian dikirim ke NodeMCU untuk menggerakkan motor driver dan motor stepper. Dengan adanya sistem ini diharapkan petani dapat memonitoring dan mengontrol kondisi sarang burung walet menggunakan aplikasi blynk pada smartphone secara realtime.
 
 Kata kunci: Sarang Walet, Suhu, Kelembaban, Pintu Ruang Walet, Mesin Embun, Aplikasi blynk.

Differences in organic carbon release between conchocelis and thalli of Pyropia haitanensis and responses to changes in light intensity and pH

The large-scale cultivation of macroalgae has the potential to act as a carbon sink because macroalgae can release a large amount of organic carbon into the surrounding seawater. However, this needs to be evaluated on the basis of the entire life cycle under a background of changes in pH and light intensity. The present study investigated the difference in organic carbon release between conchocelis and thallus stages of the economically important red alga Pyropia haitanensis in response to three light intensities (10, 50, and 500 μmol m−2 s−1) and two pH conditions (current pH: 8.1, projected future pH: 7.5). The study found that regardless of the light intensity and pH values, the growth rates, production rates of tissue carbon, and dissolved organic carbon (DOC) of thalli tended to be higher than those of conchocelis, by more than 170%, 85%, and 106%, respectively. The DOC production rate was higher than the production rate of particulate organic carbon (POC) by at least two orders of magnitude. Positive correlations were found between growth rate and production rates of tissue carbon and growth rate and DOC production rate, but no clear relationship was found between growth and POC production. The DOC production rate of thallus tended to increase with light intensity but was not significantly influenced by ocean acidification. However, decay of tissue caused by exposure of the conchocelis to high light intensity resulted in increased POC and DOC production rates, indicating the complexity of organic carbon release by P. haitanensis. This study provides insights into the release of organic carbon during the complete life cycle of P. haitanensis, and the results can further our understanding of the carbon metabolism of this cultivated macroalgal species.

Single-pixel panoramic inspection of objects with the assistance of planar mirrors

Single-pixel imaging (SPI) is a popular imaging method that uses only one-dimensional light intensity values to recover an image of an object. It has many applications, such as three-dimensional imaging, multispectral imaging, and terahertz imaging. However, there has been little research on single-pixel panoramic inspection of objects. Here, we propose a mirror-assisted panoramic SPI (MPSPI) method for object inspection, which expands the field of view of ordinary SPI. This system has the advantages of automatic projection synchronization, low cost, and easy operation. This method should pave the way for the use of SPI-based systems to perform panoramic object inspection.

Effect of aging of Cladding Material on Crop Yield under Greenhouse Cultivation

Agriculture is the basis of our economic activity. For improving agricultural production greenhouse technology was developed to prevent adverse climatic conditions. Even though higher yield and profit were obtained from greenhouse production compared to open field cultivation farmers were not satisfied with this technique due to the drastic reduction of crop yield with the aging of cladding material. To test this, an experiment was conducted in the instructional farm of Kelappaji College of Agricultural Engineering and Technology (KCAET), Tavanur, Kerala during the period from April to June 2021. Amaranthus variety CO1 was planted inside two greenhouses where one is having cleaned cladding material and the other is an old one. Microclimatic parameters and the biometric observations of crop in both conditions were compared. Mean monthly values of temperature and light intensity were higher inside the cleaned greenhouse than the old one while relative humidity was higher inside the old greenhouse. Crop growth parameters were higher inside the cleaned greenhouse than the old one except the internodal length. From this study, it was clear that the aging of cladding material has a significantly higher influence on crop performance under greenhouse.

Complementary Fourier Single-Pixel Imaging.

Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI has difficulty balancing imaging quality and efficiency. To overcome this issue, we proposed a novel approach called complementary Fourier single-pixel imaging (CFSI) to reduce the number of measurements while retaining its robustness. The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device. CFSI only requires two phase-shifted patterns to obtain one Fourier spectral value. Four light intensity values are obtained by loading the two patterns, and the spectral value is calculated through differential measurement, which has good robustness to noise. The proposed method is verified by simulations and experiments compared with FSI based on two-, three-, and four-step phase shift algorithms. CFSI performed better than the other methods under the condition that the best imaging quality of CFSI is not reached. The reported technique provides an alternative approach to realize real-time and high-quality imaging.

Effect of Plant Distribution Patterns and Growth Regulators on Morphological, Yield and Technological Characters of Egyptian Cotton

A field experiment was conducted at the Experimental Farm, Faculty of Agriculture, Menoufia University, Shebin El-Kom, Egypt during 2019 and 2020 seasons to study the effect of plant distribution patterns i.e. D1 (sowing cotton in furrows 70 cm width in one ridge with 25 cm between hills and two plants/hill), D2 (sowing cotton in furrows 70 cm width in one ridge with 12.5 cm between hills and one plant/hill), D3 (sowing cotton in beds 140 cm width in two ridges with 25 cm between hills and two plants/hill), D4 (sowing cotton in beds 140 cm width in two ridges with 12.5 cm between hills and one plant/hill) and foliar application with plant growth regulators i.e. control, kinetin (15 ppm), naphthalene acetic acid (15 ppm), mepiquat chloride (100 ppm), mepiquat chloride + kinetin and mepiquat chloride + naphthalene acetic acid at 80 and 95 DAS and on light intensity, morphological traits, flowering and abscission, yield and its components and seed and fiber quality of Egyptian cotton (Giza 86 cv.). The results indicated that sowing cotton plants with D3 pattern surpassed the other plant distribution patterns in most studied characters, while D1 increased plant height but decreased fiber fineness. On the other hand, number of squares/plant, boll weight, 100-seed weight, fiber strength and uniformity index were not significantly affected by plant distribution patterns. Application of growth regulators either single or dual caused a positive effect. NAA or MC+NAA were the superior treatments in most characters studied. However, unsprayed cotton plants increased total abscission. It could be concluded that sowing plants in beds with plant distribution pattern (D3) and foliar application with 100 ppm MC at 80 DAS followed by 15 ppm NAA at 95 DAS was the best interaction treatment in comparison to other interaction treatments to obtain the highest values of light intensity, total dry weight/plant, number of open bolls / plant, seed cotton yield per plant and fed, oil yield /fed and protein yield /fed).

Prototipe Light Meter Fotografi Studio Menggunakan Mikrokontroler ATMega328 Berbasis Sensor Cahaya dan Warna

Accuracy in calculating exposure in photographic techniques is the key to being able to produce good quality photos. The light calculation includes three elements (Triangel Exposure), namely shutter speed (shutter speed / t), ISO sensitivity, and diaphragm (aperture / f). A light meter is a tool for calculating lighting in the world of photography to accurately calculate the light falling in or around the object to be photographed. The light meter has a working principle like a lux meter calculates the value of light intensity in a place. However, on a light meter for photography, there is a calculation of a triangle exposure in it. This light meter prototype uses an ATMega328 microcontroller on the Arduino Nano V3 with the help of a TSL2561 light sensor and a TCS34725 RGB color sensor. Tests were carried out by comparing the output value using an original light meter, namely Sekonik Flashmate L-308X with the continuous light shooting method. The results of the test using the original tool with the ATMega328 microcontroller produced values above 90%.

Computational ghost imaging based on an untrained neural network

Ghost imaging based on deep learning (DLGI) usually employs a supervised learning strategy, and needs a large set of labeled data to train a neural network. However, in many practical applications, it is difficult to obtain sufficient numbers of labeled data for training and the training process often takes a long time. Thus, a computational ghost imaging method based on deep learning using an untrained neural network (UNNCGI) is proposed. The input to the network is just a set of one-dimensional light intensity values collected by a single-pixel detector and the neural network can be automatically optimized to generate restored images through the interaction between the network and the process of computational ghost imaging. Both simulation and experiment confirm the feasibility of this untrained network. The reconstructed image of UNNCGI has good quality, even at low sampling ratios, which improves the imaging efficiency and will promote the practical applications of ghost imaging.

Propagation of partially coherent vortex beams in gain media

In this paper, the propagation of partially coherent vortex beams in gain media was investigated based on the generalized Huygens-Fresnel principle. Our research focused on the influences of topological charge (m) and coherence length (σ0) on light intensity distribution, phase and spectral degree of coherence during the propagation. The results show that partially coherent vortex beams can maintain their initial dark hollow intensity distributions for a longer distance with larger m and σ0 as the gain and diffraction effects appear simultaneously. The decay of the maximum value of light intensity caused by diffraction is more obvious with a smaller σ0. On the other hand, the larger σ0 is, the more obvious the gain effect on the maximum value of light intensity is. We also observe that the coherence vortex with topological charge equals to m will split into m coherence vortices with topological charges are 1, and the coherence vortices with negative topological charge will generate at the same time. Some phenomena also appear with a larger coherence length, for example, a larger distance between coherence vortices with negative topological charge, a bigger splitting of the coherence vortices, and a slower damping of spectral degree of coherence, et al. This study can be used in the research and application of vortex beams in the materials field.

Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities

Intelligent and resilient infrastructure is necessary for smart cities for contributing flexible and smart amenities to the citizens. Concerning the United Nations (UN) estimation, the global population residing in urban cities will reach 68% by 2050. Additionally, the Sustainable Energy Action Plans (SEAP) report suggests implementing energy efficiency technologies in smart cities to meet the rising urban population requirement. Internet of Things (IoT) technology empowers to achieve the goal of energy efficiency by integrating sensors, wireless technology, and renewable energy sources in the lighting system. At present, the IoT-based lighting system in urban cities is implemented with streetlamps and lampposts. In this study, we are focusing on lampposts, as it has the flexibility of establishing and implementing a multitude of applications on a single system. Due to technological advancement, the lamppost is embedded with multiple sensors, communication protocols, and energy distribution infrastructure for delivering smart and affordable amenities to the citizens residing in the smart cities. This motivates us to implement a smart lamppost that provides a multitude of applications such as smart light, digital signs, environmental monitoring conditions, electric vehicle (EV) charging port, wireless fidelity (Wi-Fi) hotspot, etc., on a single lamppost. This study proposed the IoT-assisted fog and edge-based smart lamppost for the smart cities to realize the smart infrastructure. Further, this smart lamppost is integrated with low power and long-range communication, i.e., Long Range (LoRa), enabling the smart lamppost to communicate the sensory data to a long-range. Additionally, LoRa is integrated with a Wi-Fi module for establishing the interconnection between the smart lamppost and IoT server. Generally, the proposed architecture is broad perspective; however, we have developed and implemented the hardware models of three components including lighting system, environmental parameters and image sensing in real time. Lighting system and environmental parameter monitoring are integrated on same hardware model for sensing and logging the real-time values of temperature, humidity, CO and light intensity on the IoT server. The developed image sensing prototype based on ESP 32 controller is also evaluated in real-time scenarios, and the performance of the prototype is efficient. The proposed system delivers reliable performance in terms of sensing and communicating environmental parameters and images to the IoT server. Moreover, in future, we will complete the development of other components of the smart lamppost for enhancing the smarter infrastructure in smart cities.