Ambient Light Levels Research Articles

Variance in odds ratios for estimating the deterrent effect of darkness on cycling: Variation due to the choice of case and control hours.

Comparing the counts of cyclists travelling at specific times of day is one approach to measuring the impact of ambient light level. Here we investigate one source of variance in the magnitude of change seen in previous research-the choice of case and control hour. This was done through an analysis of cyclist flows using data from multiple automated cyclist counters in five cities (Arlington, Bergen, Berlin, Birmingham and Leeds) to determine the odds ratios (OR) for each combination of case and control hour. The results tend to reveal odds ratios above 1.0 indicating that cycling can be deterred by darkness. The odds ratios varied with the choice of case and control hour. For two cities (Birmingham and Leeds), the impact was small, with little difference in ORs between any case and control hour combination. For three cities the variance in ORs was larger. To represent the impact of darkness on cycling flows across the range of case and control hours we suggest the Mantel-Haenszel pooled odds ratio is used, in which the odds ratio for each combination of case and control hour is weighted by the total number of cyclists in that combination. This suggested a statistically significant (p<0.001) deterrent effect of darkness in all five cities.

Post-release survival of loggerhead sea turtles (Caretta caretta) incidentally hooked in a North Atlantic pelagic longline fishery

Estimating mortality of sea turtles incidentally captured in fishing gear is essential to understanding fishery impacts on sea turtle populations. Loggerhead turtles (Caretta caretta) are a component of bycatch in pelagic longline fisheries, including those operating in Atlantic Canada. In this study, we used pop-up satellite archival tags (PSATs) attached to 62 loggerhead turtles incidentally hooked in Atlantic Canadian shallow-set pelagic longline gear (2012–2018) to estimate associated post-release survival. Consistent with conventional fishing practices, hooks were not removed from turtles prior to release. Analysis of diving behaviour, ocean temperature, and ambient light level was used to assign fates to turtles. Post-release survival was calculated using the Kaplan-Meier estimator with right censoring. Based on this method, the annual survival probability of an individual loggerhead post-release is 0.877 ± SE 0.052. While it is commonly assumed that hook location is an important variable in predicting fates of turtles after release, there was no difference in survival of deep-hooked (swallowed hook) versus shallow-hooked turtles. These results indicate higher survivorship among hooked loggerheads captured in shallow-set pelagic longline gear than prevailing wisdom and suggest that at least some of the population impacts on loggerhead turtles conventionally attributed to pelagic longline interactions may be linked to other threats.

Intelligent Street Lighting: An IoT-based System for Adaptive Brightness and Fault Management

The research aims to develop an intelligent fault detection and control system for street lights using an STM32 microcontroller and Internet of Things (IoT) technologies. The system uses various sensors and communication methods to manage lighting more effectively and maintain infrastructure better. Light-Dependent Resistors (LDRs), which turn lights on automatically at nightfall and off at dawn, are essential to the system's operation. Moreover, motion is detected by the infrared (IR) sensors on the street, allowing the lighting to save energy by dimming during times of low traffic and brightening when movement is detected. By using control logic and sensor readings, a relay functions as an electronically controlled switch to turn the lights on and off. To process sensor data, the STM32 microcontroller is used in the main functionality. Energy savings are facilitated by the automated on/off switching based on ambient light levels, enabled by the LDR sensor data. In addition, the device includes a GPS module for precise street light location tracking. An IoT platform transmits this location data as well as operational status and real-time sensor readings. Maintenance staff can access regional data on light quality and sensor readings through an LCD display. This extensive data enables maintenance team to focus better, use resources efficiently, and enable remote monitoring and fault identification (e.g., burned-out bulbs). This Internet-of-Things (IoT) system provides an economical and environmentally friendly approach to efficient street light management by integrating automation, remote control, and real-time monitoring.

Correlation-Assisted Pixel Array for Direct Time of Flight.

Time of flight is promising technology in machine vision and sensing, with an emerging need for low power consumption, a high image resolution, and reliable operation in high ambient light conditions. Therefore, we propose a novel direct time-of-flight pixel using the single-photon avalanche diode (SPAD) sensor, with an in-pixel averaging method to suppress ambient light and detect the laser pulse arrival time. The system utilizes two orthogonal sinusoidal signals applied to the pixel as inputs, which are synchronized with a pulsed laser source. The detected signal phase indicates the arrival time. To evaluate the proposed system's potential, we developed analytical and statistical models for assessing the phase error and precision of the arrival time under varying ambient light levels. The pixel simulation showed that the phase precision is less than 1% of the detection range when the ambient-to-signal ratio is 120. A proof-of-concept pixel array prototype was fabricated and characterized to validate the system's performance. The pixel consumed, on average, 40 μW of power in operation with ambient light. The results demonstrate that the system can operate effectively under varying ambient light conditions and its potential for customization based on specific application requirements. This paper concludes by discussing the system's performance relative to the existing direct time-of-flight technologies, identifying their strengths and limitations.

Evaluating Pacific salmon swimming behavior in the aft end of a pelagic trawl to inform bycatch reduction device design and use

AbstractObjectiveAlthough the bycatch of Pacific salmon Oncorhynchus spp. is relatively low in the Walleye Pollock Gadus chalcogrammus and Pacific Hake Merluccius productus pelagic trawl fisheries, different efforts are employed to reduce it, including the use of bycatch reduction devices (BRDs) that retain the targeted species and provide Pacific salmon a pathway to escape. The objective of this study was to evaluate Pacific salmon behavior inside a pelagic trawl and to determine what conditions favor the probability of a salmon moving forward in the trawl and increase their probability of escapement.MethodsWe placed a video camera at the entrance of the cod end and recorded the behaviors of Pacific salmon as they passed by. The timing of the forward movement Pacific salmon in relation to fishing operations and the correlations between forward movement of Pacific salmon and vessel speed over ground, water flow rate, ambient light levels, and abundance of Walleye Pollock were examined.ResultOf the 2969 Pacific salmon observed, 71% were moving aft toward the cod end, 24% were observed moving forward, and 5% were moving aft then forward or forward then aft. The percentage (77%) and rate (0.86 fish per minute) of forward‐moving Pacific salmon was greatest once the trawl doors were back on the vessel and water flow within the trawl was reduced. Speed over ground and Walleye Pollock abundance were negatively correlated with forward movement of Pacific salmon. Only 6.5% of Pacific salmon that were in the cod end when fishing ended were able to move forward before the cod end was on the vessel.ConclusionPacific salmon can move forward in the trawl throughout fishing operations and haulback, but the percentage increases as the speed over ground and water flow inside the trawl is reduced. The low percentage of Pacific salmon that move forward after fishing has ended suggests that Pacific salmon escapement at the end of a tow is relatively low and suggests that BRD design should focus on stimulating escapement at the first BRD encounter.

Compound eyes of Camponotus compressus (Fabricius, 1798) (Hymenoptera, Formicidae) reflects caste specific organisation and adaptation

Caste polymorphs of the ant Camponotus compressus (Fabricius, 1798) are distinct by their morphology and life styles; the two distinct castes are largely nocturnal and rely on their visual sensory system to interpret their temporal niches. The compound eyes of the castes were explored through Light and Scanning Electron Microscopy (SEM) in order to delineate cast specific organisation and adaptations of the compound eye. The findings reveal that major workers of C. compressus possess a more sophisticated visual system in terms of its morphological features along with optical properties that enhances a better vision, which includes a greater number of ommatidia and high ommatidial density, a higher ommatidial diameter, low inter ommatidial angle and a more efficient pupillary mechanism to counter conditions where ambient light levels are high. This underlines the dependence of scouts (major workers) on visual system and the foragers on olfactory system in the species.

8‐2: Distinguished Paper: Adaptive Display White Point under Various Ambient Conditions

Chromatic adaptation is an important mechanism in the human visual system, allowing a relative constant color appearance under different lighting conditions, in terms of light level and color. Technologies have been developed to adjust the display white point according to the ambient light color, but did not consider the ambient light level. This study was designed based on a recent study to reveal the necessity to consider ambient light level and display luminance together, which affects the viewing mode, when adjusting the adaptive display white point.

Experimental Study on Automated Controller of Street Light Management System using IoT

In order to ensure public safety and support nighttime activities, street lighting is crucial to the urban landscape, and this study starts by contextualizing its importance. It then goes on to analyze the shortcomings of the current street lighting systems, which are typified by their static control methods and poor environmental response.These shortcomings underscore the urgent need for a paradigm shift towards more intelligent and adaptive solutions. The core proposition of this project lies in the design and implementation of an advanced street light management system empowered by IoT technology. At its heart, the system comprises a sophisticated network of interconnected devices, including sensors, actuators, and a central control unit. These components collaborate synergistically to capture, analyze, and act upon real-time data gleaned from the surrounding environment. Through the application of cutting-edge data analytics and machine learning algorithms, the system autonomously adjusts lighting levels in accordance with fluctuating parameters such as ambient light levels, traffic density, weather conditions, and pedestrian activity. By dynamically optimizing energy usage while ensuring adequate illumination, the system not only enhances operational efficiency but also contributes to cost reduction and environmental sustainability. Moreover, the proposed system incorporates proactive maintenance features, enabling early fault detection and remote diagnostics. This capability minimizes downtime and enhances system reliability, thereby mitigating the operational challenges associated with traditional street lighting infrastructure. The project further explores the conceptual framework of IoT, elucidating its transformative potential in revolutionizing urban infrastructure management. By seamlessly integrating physical devices with digital intelligence, IoT facilitates the creation of interconnected ecosystems wherein data-driven decision-making and automation converge to drive unprecedented efficiency and innovation

IoT ENBALED SMART AQUARIUM FOR MONITORING THROUGH SENSORS

The development of an IoT-enabled smart aquarium system offering real-time monitoring and automated control of crucial environmental parameters. The core of the system lies in the ESP8266 microcontroller, facilitating seamless internet connectivity and data processing. Water quality assessment is achieved through a turbidity sensor, detecting suspended particles indicative of potential pollution. Environmental conditions are monitored using a DHT11 sensor, providing data on both temperature and humidity – essential factors for maintaining a healthy habitat for specific fish species. For automated lighting control mimicking natural day/night cycles and preventing excessive algae growth, a Light-Dependent Resistor (LDR) is implemented. The LDR adjusts aquarium lighting based on ambient light levels. Finally, a relay module controls the operation of a water pump, ensuring optimal water circulation and distribution of nutrients throughout the aquarium. While an I2C LCD connected to an Arduino Nano provides local data visualization within the aquarium setup, the ESP8266 transmits sensor readings to a user-friendly platform accessible remotely through a mobile application or web interface. This allows for convenient real-time monitoring of water quality, temperature, humidity, and lighting conditions. The system can be further programmed to generate alerts when critical parameters deviate from the ideal range, enabling proactive user intervention to maintain a healthy environment. This project demonstrates the potential of IoT technology to create a more automated, efficient, and user-friendly system for maintaining a thriving aquatic ecosystem. KEYWORDS: IoT (Internet of Things), Smart Aquarium, ESP8266, Turbidity Sensor, DHT11 Sensor, LDR(Light-Dependent Resistor), Relay Module, Water Pump, I2C LCD, Arduino Nano, Real-Time Monitoring, Automated Control, Remote Access, Mobile Application, Web Interface, Water Quality, Temperature, Humidity, Light Control, Aquatic Environment.

Adaptive display white point under various ambient conditions

AbstractDisplay technologies have been developed to adjust the display brightness and color under different viewing conditions, providing better viewing experiences to users. Solutions have been proposed to adjust the display white point according to the ambient light condition, which roots into the underlying chromatic adaptation mechanism in the human visual system. This study was carefully designed to reveal the necessity to consider the ambient light level and display luminance together, which affects the viewing mode, when adjusting the adaptive display white point. The results clearly suggested that when the display luminance was greater than the ambient light diffuse white luminance, the display was viewed in the self‐luminous mode and the display white point was not significantly affected by the ambient light chromaticities. In contrast, when the display luminance was lower than the ambient light diffuse white luminance, the display was viewed in the surface mode and the ambient light chromaticities had a significant effect on the display white point, especially when the surround ratio was high.

Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry.

The pupillary light reflex (PLR) is the constriction of the pupil in response to light. The PLR in response to a pulse of light follows a complex waveform that can be characterized by several parameters. It is a sensitive marker of acute neurological deterioration, but is also sensitive to the background illumination in the environment in which it is measured. To detect a pathological change in the PLR, it is therefore necessary to separate the contributions of neuro-ophthalmic factors from ambient illumination. Illumination varies over several orders of magnitude and is difficult to control due to diurnal, seasonal, and location variations. We assessed the sensitivity of seven PLR parameters to differences in ambient light, using a smartphone-based pupillometer (AI Pupillometer, Solvemed Inc.). Nine subjects underwent 345 measurements in ambient conditions ranging from complete darkness (<5 lx) to bright lighting (≲10,000 lx). Lighting most strongly affected the initial pupil size, constriction amplitude, and velocity. Nonlinear models were fitted to find the correction function that maximally stabilized PLR parameters across different ambient light levels. Next, we demonstrated that the lighting-corrected parameters still discriminated reactive from unreactive pupils. Ten patients underwent PLR testing in an ophthalmology outpatient clinic setting following the administration of tropicamide eye drops, which rendered the pupils unreactive. The parameters corrected for lighting were combined as predictors in a machine learning model to produce a scalar value, the Pupil Reactivity (PuRe) score, which quantifies Pupil Reactivity on a scale 0-5 (0, non-reactive pupil; 0-3, abnormal/"sluggish" response; 3-5, normal/brisk response). The score discriminated unreactive pupils with 100% accuracy and was stable under changes in ambient illumination across four orders of magnitude. This is the first time that a correction method has been proposed to effectively mitigate the confounding influence of ambient light on PLR measurements, which could improve the reliability of pupillometric parameters both in pre-hospital and inpatient care settings. In particular, the PuRe score offers a robust measure of Pupil Reactivity directly applicable to clinical practice. Importantly, the formulae behind the score are openly available for the benefit of the clinical research community.

Investigating the effect of ambient light conditions on road traffic crashes: The case of Cape Town, South Africa

Investigating the risk of road crashes associated with ambient light is often challenged by bias resulting from confounding effects of other risk factors. The study used the odds ratio and the risk ratio methods to isolate the effect of ambient light from other risk factors. This was possible in this research using the ‘whole-year’ approach adopted in previous research and utilising seasonal variations in ambient light in Cape Town. The analysis was based on crash and ambient light data collected between 2014 and 2018 in Cape Town. A total of 361 452 crashes were reported during this period. With only minor exceptions, the results confirm a higher crash risk in both twilight and dark conditions. The increase in the risk was different depending on the ambient light level, the crash type (total and pedestrian crashes) and the time of the day (morning and evening times). The results suggest that more efforts need to be made to assist road users to travel safely under twilight and dark conditions.

Pathologists light level preferences using the microscope—study to guide digital pathology display use

BackgroundCurrently, there is a paucity of guidelines relating to displays used for digital pathology making procurement decisions, and optimal display configuration, challenging.Experience suggests pathologists have personal preferences for brightness when using a conventional microscope which we hypothesized could be used as a predictor for display setup. MethodsWe conducted an online survey across six NHS hospitals, totalling 108 practicing pathologists, to capture brightness adjustment habits on both microscopes and displays.A convenience subsample of respondents was then invited to take part in a practical task to determine microscope brightness and display luminance preferences, in the normal working environment. A novel adaptation for a lightmeter was developed to directly measure the light output from the microscope eyepiece. ResultsThe survey (response rate 59% n=64) indicates 81% of respondents adjust the brightness on their microscope. In comparison, only 11% report adjusting their digital display. Display adjustments were more likely to be for visual comfort and ambient light compensation rather than for tissue factors, common for microscope adjustments. Part of this discrepancy relates to lack of knowledge of how to adjust displays and lack of guidance on whether this is safe; But, 66% felt that the ability to adjust the light on the display was important.Twenty consultants took part in the practical brightness assessment. Light preferences on the microscope showed no correlation with display preferences, except where a pathologist has a markedly brighter microscope light preference. All of the preferences in this cohort were for a display luminance of <500 cd/m2, with 90% preferring 350 cd/m2 or less. There was no correlation between these preferences and the ambient lighting in the room. ConclusionsWe conclude that microscope preferences can only be used to predict display luminance requirements where the microscope is being used at very high brightness levels. A display capable of a brightness of 500 cd/m2 should be suitable for almost all pathologists with 300 cd/m2 suitable for the majority. Although display luminance is not frequently changed by users, the ability to do so was felt to be important by the majority of respondents.Further work needs to be undertaken to establish the relationship between diagnostic performance, luminance preferences, and ambient lighting levels.

Characterization of the IDENTIFYTM surface scanning system for radiation therapy setup on a closed-bore linac.

In radiation therapy, surface guidance can be used for patient setup and intra-fraction motion monitoring. The surface guided radiation therapy (SGRT) system from Varian Medical systems, IDENTIFYTM, consists of three pods, including cameras and a random pattern projector, mounted on the ceiling. The information captured by the cameras is used to make a reconstruction of the surface. The aim of the study was to assess the technical performance of this SGRT system on a closed-bore linac. Phantom measurements were performed to assess the accuracy, precision, reproducibility and temporal stability of the system, both in align and in load position. Translations of the phantoms in lateral, longitudinal, and vertical direction, and rotations around three axes (pitch, roll and yaw) were performed with an accurate, in-house built, positioning stage. Different phantom geometries and different surface colors were used, and various ambient light intensities were tested. The accuracy of the IDENTIFYTM system at the closed-bore linac was 0.07mm and 0.07 degrees at load position, and 0.06mm and 0.01 degrees at align position for the white head phantom. The precision was 0.02mm and 0.02 degrees in load position, and 0.01mm and 0.02 degrees in align position. The accuracy for the Penta-Guide phantom was comparable to the white head phantom, with 0.06mm and 0.01 degrees in align position. The system was slightly less accurate for translations of the CIRS lung phantom in align position (0.20mm, 0.05 degrees). Reproducibility measurements showed a variation of 0.02mm in load position. Regarding the temporal stability, the maximum drift over 30min was 0.33mm and 0.02 degrees in load position. No effect of ambient light level on the accuracy of the IDENTIFYTM system was observed. Regarding different surface colors, the accuracy of the system for a black phantom was slightly worse compared to a white surface, but not clinical relevant. The IDENTIFYTM system can adequately be used for motion monitoring on a closed-bore linac with submillimeter accuracy. The results of the performed measurements meet the clinical requirements described in the guidelines of the AAPM and the ESTRO.

Assessment of music performance anxiety in a virtual auditorium through the study of ambient lighting and audience distance

Performance anxiety is a common problem affecting musicians’ concentration and well-being. Musicians frequently encounter greater challenges and emotional discomfort when performing in front of an audience. Recent research suggests an important relationship between the characteristics of the built environment and people’s well-being. In this study, we explore modifying the built environment to create spaces where musicians are less aware of the presence of the audience and can express themselves more comfortably. An experiment was conducted with 61 conservatory musicians playing their instrument in a virtual auditorium in front of an audience of hundreds of virtual humans. They performed at different distances from the audience and under different levels of ambient lighting, while their eye movements were recorded. These data, together with questionnaires, were used to analyse the way the environment is perceived. The results showed that reducing the light intensity above the audience made the view of the auditorium more calming, and the same effect was observed when the distance between the audience and the musician was increased. Eye-tracking data showed a significant reduction in saccadic eye movements as the distance from the audience increased. This work provides a novel approach to architecture influence on musicians’ experience during solo performances. The findings are useful to designers and researchers.

Arduino Based Sun-Light Detection

This project outlines the development of a sunlight detection system using an Arduino microcontroller. The system utilizes Light-Dependent Resistors (LDRs) to measure sunlight intensity. The Arduino board processes the sensor data and determines the presence or absence of sunlight. This paper provides a concise overview of a project that leverages Arduino's capabilities to detect sunlight. The project uses LDRs, which are inexpensive and readily available sensors that respond to light by changing their resistance. By measuring the LDR's resistance values, the Arduino can gauge the ambient light level and determine if sunlight is present.

Dual response multi-function smart window: An integrated system of thermochromic hydrogel and thermoelectric power generation module for simultaneous temperature regulation and power generation

Thermochromic smart windows have the capability to intelligently adjust color and light transmission based on ambient temperature and light levels, attracting considerable attention due to their potential to enhance building energy efficiency and residential comfort. However, excessive sunlight exposure can lead to increased heat generation, potentially affecting the service life of the window. In this work, we present the development of an efficient intelligent solar thermal utilization window, incorporating heat collection, temperature regulation, and power generation functionalities. The smart window achieves light modulation by adjusting the glycerol content in the thermochromic hydrogel. In addition, the thermoelectric material is arranged in series and parallel to the smart window functioning as the power generation module. The developed smart window shows excellent sunlight modulation capability (91.2 % visible light transmittance and 99.2 % sunlight shielding rate). Meanwhile, the response temperature of the window can be adjusted from 34.5 °C to 29 °C. The thermoelectric hydrogel can generate continuous and stable current (∼75 µA) with a temperature difference of 40 ℃. The practical application proves that the generated power by the temperature difference can fully meet the switching needs of small electrical appliances. This transformation framework between photothermal-electricity conversion deserves attention in the design of future smart windows.

Revolutionizing Automated Agriculture: A Brief Overview of an Advanced Smart Agriculture System Using Arduino UNO

This project presents a Smart Agriculture System that uses sensor technologies to improve crop monitoring and automate irrigation procedures. A variety of sensors are integrated into the system, such as a temperature sensor, a gas sensor, a photodiode for ambient light sensing, and a soil moisture sensor. When taken as a whole, these sensors offer real-time information on the concentrations of gases, ambient light levels, temperature fluctuations, and soil conditions in agricultural environments. The system’s primary function is to continuously monitor soil moisture levels in order to determine when irrigation is necessary. A water pump is activated when a predetermined moisture threshold is reached, guaranteeing timely and precise irrigation for the best possible crop growth. By monitoring the climate, the temperature sensor helps determine the environmental factors that affect crop health. Farmers can monitor important parameters with ease thanks to the convenient and user-friendly interface that the real-time display of sensor data on an LCD screen provides. Furthermore, by measuring the amount of natural light present, the ambient light sensor helps the system to optimize planting schedules and comprehend the impact of sunlight on crop development. The addition of a gas sensor expands the capabilities of the system by identifying possible environmental risks or variations in gas concentrations that could have an impact on crop quality. In addition to providing farmers with useful information about the health of their crops, this integrated smart agriculture system makes irrigation automation easier, saving water and increasing overall agricultural productivity. Due to its flexibility and scalability, the system is an invaluable resource for contemporary precision agriculture, contributing to sustainable farming practices and increased crop yields.

Wireless Smart Lighting System: A Cost-Effective Approach to Energy Saving with Centralized Control for Large-Scale Campus Infrastructure

In order to improve lighting management throughout a campus infrastructure, operational flexibility, and energy efficiency, this study suggests a wireless smart lighting system with centralized control. The system combines wireless sensors, LED illumination, and a central control unit to manage lighting according to occupancy, the time of day, and environmental factors. Significant energy savings are possible since the system may be remotely monitored and optimized through the use of a wireless communication protocol. Phases of the implementation included installing sensors and LEDs, setting up a centralized control system, and evaluating the campus lighting infrastructure. The outcomes demonstrate a significant reduction in energy use, easier upkeep, and better illumination around the campus. Energy-efficient and environmentally friendly lighting solutions are in high demand, particularly in huge infrastructures like college campuses. Conventional lighting systems frequently need human operation and are inefficient, which increases operational complexity and wasteful energy use. A wireless smart lighting system with centralized control that is specifically designed for campus infrastructures is suggested in this research. Using wireless sensors, LED lights, and a centralized control unit, the system dynamically modifies illumination according to occupancy, ambient light levels, and time of day in real time.

ELECTRONICS WOMEN’S SAFETY JACKET

The "Electronics Women's Safety Jacket" is a cutting-edge microcontroller-based project designed to enhance the safety of women in various environments. This innovative jacket integrates advanced electronics to create a proactive safety solution. At its core, the project employs a microcontroller as the central processing unit, serving as the brain of the safety jacket. This microcontroller is equipped with sensors that detect crucial environmental factors, such as ambient light levels, sound levels, and GPS location. These sensors enable the jacket to adapt its functionality based on the wearer's surroundings. One of the key features of the safety jacket is its ability to trigger an alarm in emergency situations. For instance, if the ambient light drops suddenly, signaling potential danger, or if the sound levels indicate distress, the microcontroller activates a loud alarm to attract attention. Additionally, the built-in GPS system allows the jacket to transmit the wearer's location to predefined contacts or emergency services, ensuring swift assistance in critical scenarios. To further empower women's safety, the jacket incorporates a panic button or gesture recognition technology. In times of distress, the wearer can easily activate the alarm system by pressing the panic button or performing a specific gesture, initiating a rapid response mechanism. The project also focuses on user-friendly design, considering the comfort and convenience of the wearer. The electronic components are seamlessly integrated into the fabric of the jacket, maintaining a stylish and inconspicuous appearance. Rechargeable batteries power the system, ensuring long-lasting functionality without compromising mobility. In conclusion, the Electronics Women's Safety Jacket is an intelligent and responsive solution leveraging microcontroller technology to address women's safety concerns. By combining sensor data, GPS capabilities, and user-friendly features, this project aims to provide a reliable and effective tool for enhancing the security and well-being of women in various situations. Key Words: Microcontroller, GPS, GSM, Sensors.