The document discusses causes of road accidents and prevention methods. It notes that driver drowsiness and drunk driving are major causes of accidents, accounting for around 20% of accidents. It also lists other causes like overspeeding, distractions, jumping red lights, and not wearing seat belts. Prevention methods discussed include safety features in cars like dual front airbags, anti-lock braking systems, electronic stability control, parking sensors, and seatbelt pre-tensioners. Adopting such safety measures and driver training can help reduce accidents.
This document describes a smart helmet system that uses IoT technology to provide safety features for motorcycle riders. The system uses sensors to detect if a helmet is being worn, test for alcohol consumption, detect nearby vehicles, and sense if an accident has occurred. If an accident is detected, the system sends an alert message with GPS location to emergency contacts. The goal is to help prevent accidents, detect accidents quickly, and facilitate emergency response. The system is designed using components like an Arduino, RF module, alcohol sensor, IR sensor, GPS and GSM modules. It aims to encourage safe riding practices and reduce accident rates.
This document discusses the development of an intelligent accident detection system for two-wheelers. The system uses sensors like alcohol sensors, accelerometers, and GPS modules. The alcohol sensor detects if a rider has consumed alcohol and prevents the vehicle from starting. When an accident occurs, accelerometers detect changes in motion and tilt. The GPS module then sends the accident location to emergency contacts and hospitals via SMS to save time in providing medical assistance. The system aims to reduce two-wheeler accidents and instances of drunk driving.
This document describes a smart helmet system that aims to improve motorcycle safety. The system uses sensors to check if the rider is wearing a helmet before allowing the bike to start. It also checks if the rider has been drinking alcohol. The system contains an Arduino microcontroller, alcohol sensor, IR sensor, vibration sensor, GPS and GSM modules. If an accident occurs, the GPS detects the location which is then sent as a text message via GSM to emergency contacts. The goal is to enforce helmet usage and prevent drunk driving, while facilitating quicker emergency response times after an accident. The system provides safety benefits and could help reduce traffic violations and casualties from motorcycle accidents.
Realtime Car Driver Drowsiness Detection using Machine Learning ApproachIRJET Journal
This document discusses a real-time driver drowsiness detection system using machine learning. It aims to analyze images from a car's webcam to detect drowsiness in the driver by identifying facial features like yawning, eye closure, and head movements. If drowsiness is detected, the system will sound an alarm and increase audio alerts to wake the driver. If the driver does not wake up after five alerts, a message will be sent to an emergency contact notifying them of the situation. The system is being developed to help prevent accidents caused by drowsy driving, which accounts for a large number of crashes annually.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
Alcohol Sensing Alert with Engine Locking using IOTIRJET Journal
This document describes a system to prevent drunk driving accidents using sensors and automatic engine locking. The system uses an alcohol sensor, microcontroller, and IOT devices. If the alcohol sensor detects alcohol above a certain threshold when the vehicle is in motion, the system will automatically lock the engine to prevent further driving. The goal is to reduce accidents caused by drunk driving by automatically controlling the vehicle. The system algorithm first checks the vehicle speed, then uses various sensors to detect alcohol levels and other parameters. If alcohol is detected while the vehicle is in motion, the fuel supply will be blocked to stop the car. Notification will also be sent to emergency contacts and authorities. The proposed system aims to improve road safety by preventing intoxicated driving through automatic
IRJET- Smart Helmet for Safety and Accident Detection using IOTIRJET Journal
This document describes a smart helmet system that uses IoT technology to improve rider safety and prevent accidents. The system has two main components:
1. A helmet component that includes sensors to detect if the helmet is worn, detect alcohol levels, and detect accidents through accelerometers. It communicates with the bike wirelessly.
2. A bike component that includes components to receive the helmet sensor data, start the bike ignition only if the helmet is worn and no alcohol is detected, and alert the rider if excessive speed is detected. It can also notify emergency contacts of accidents through an Android app.
The system was tested to accurately detect accidents 94.82% of the time and send location notifications 96.72%
1) The document describes a smart helmet system that prevents motorcycles from starting if the rider is not wearing a helmet or has consumed alcohol. It contains sensors to detect these conditions and sends alerts.
2) If an accident is detected, the smart helmet uses GPS to determine the location and sends an SMS message to emergency contacts with the accident location coordinates.
3) The system aims to increase road safety by ensuring proper helmet use and preventing drunk driving, while facilitating faster emergency response times after an accident.
This document describes a smart helmet system that uses IoT technology to provide safety features for motorcycle riders. The system uses sensors to detect if a helmet is being worn, test for alcohol consumption, detect nearby vehicles, and sense if an accident has occurred. If an accident is detected, the system sends an alert message with GPS location to emergency contacts. The goal is to help prevent accidents, detect accidents quickly, and facilitate emergency response. The system is designed using components like an Arduino, RF module, alcohol sensor, IR sensor, GPS and GSM modules. It aims to encourage safe riding practices and reduce accident rates.
This document discusses the development of an intelligent accident detection system for two-wheelers. The system uses sensors like alcohol sensors, accelerometers, and GPS modules. The alcohol sensor detects if a rider has consumed alcohol and prevents the vehicle from starting. When an accident occurs, accelerometers detect changes in motion and tilt. The GPS module then sends the accident location to emergency contacts and hospitals via SMS to save time in providing medical assistance. The system aims to reduce two-wheeler accidents and instances of drunk driving.
This document describes a smart helmet system that aims to improve motorcycle safety. The system uses sensors to check if the rider is wearing a helmet before allowing the bike to start. It also checks if the rider has been drinking alcohol. The system contains an Arduino microcontroller, alcohol sensor, IR sensor, vibration sensor, GPS and GSM modules. If an accident occurs, the GPS detects the location which is then sent as a text message via GSM to emergency contacts. The goal is to enforce helmet usage and prevent drunk driving, while facilitating quicker emergency response times after an accident. The system provides safety benefits and could help reduce traffic violations and casualties from motorcycle accidents.
Realtime Car Driver Drowsiness Detection using Machine Learning ApproachIRJET Journal
This document discusses a real-time driver drowsiness detection system using machine learning. It aims to analyze images from a car's webcam to detect drowsiness in the driver by identifying facial features like yawning, eye closure, and head movements. If drowsiness is detected, the system will sound an alarm and increase audio alerts to wake the driver. If the driver does not wake up after five alerts, a message will be sent to an emergency contact notifying them of the situation. The system is being developed to help prevent accidents caused by drowsy driving, which accounts for a large number of crashes annually.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
Alcohol Sensing Alert with Engine Locking using IOTIRJET Journal
This document describes a system to prevent drunk driving accidents using sensors and automatic engine locking. The system uses an alcohol sensor, microcontroller, and IOT devices. If the alcohol sensor detects alcohol above a certain threshold when the vehicle is in motion, the system will automatically lock the engine to prevent further driving. The goal is to reduce accidents caused by drunk driving by automatically controlling the vehicle. The system algorithm first checks the vehicle speed, then uses various sensors to detect alcohol levels and other parameters. If alcohol is detected while the vehicle is in motion, the fuel supply will be blocked to stop the car. Notification will also be sent to emergency contacts and authorities. The proposed system aims to improve road safety by preventing intoxicated driving through automatic
IRJET- Smart Helmet for Safety and Accident Detection using IOTIRJET Journal
This document describes a smart helmet system that uses IoT technology to improve rider safety and prevent accidents. The system has two main components:
1. A helmet component that includes sensors to detect if the helmet is worn, detect alcohol levels, and detect accidents through accelerometers. It communicates with the bike wirelessly.
2. A bike component that includes components to receive the helmet sensor data, start the bike ignition only if the helmet is worn and no alcohol is detected, and alert the rider if excessive speed is detected. It can also notify emergency contacts of accidents through an Android app.
The system was tested to accurately detect accidents 94.82% of the time and send location notifications 96.72%
1) The document describes a smart helmet system that prevents motorcycles from starting if the rider is not wearing a helmet or has consumed alcohol. It contains sensors to detect these conditions and sends alerts.
2) If an accident is detected, the smart helmet uses GPS to determine the location and sends an SMS message to emergency contacts with the accident location coordinates.
3) The system aims to increase road safety by ensuring proper helmet use and preventing drunk driving, while facilitating faster emergency response times after an accident.
Design And Development of Speed-Breaker Detection and Automatic Speed Control...IRJET Journal
This document presents a design for an automatic speed control system for vehicles that detects speed breakers using ultrasonic sensors and controls the vehicle's speed to prevent accidents. It aims to address accidents caused by drivers failing to see inconspicuous speed breakers, especially in low visibility conditions. The system uses an Arduino microcontroller and ultrasonic sensors to detect speed breakers from a distance and automatically applies the brakes to reduce the vehicle's speed as it approaches. A literature review discusses previous research on speed control systems, accident prevention technologies, and automatic braking systems. The proposed system aims to improve safety by taking control of the vehicle's speed when a driver is inattentive and approaching a speed breaker.
IRJET - Smart Vehicle System for Accident PreventionIRJET Journal
This document presents three smart vehicle systems: 1) An automotive night vision system using an infrared camera, display, and Raspberry Pi to provide enhanced visibility at night. 2) A seatbelt alert system using a hall sensor to detect if the driver is wearing a seatbelt and prevents ignition if not. 3) An automated door locking system using ultrasonic sensors to detect obstacles and prevent doors from opening if an object is detected to avoid accidents. The systems aim to improve safety by addressing issues of nighttime visibility, enforcing seatbelt use, and preventing door-related accidents. Tables provide details on components and performance of each system.
The document describes a smart helmet that provides safety and communication features for motorcyclists. The helmet contains an intercom system that allows riders to communicate via Bluetooth without interrupting their ride. It also has an alcohol detection sensor to prevent drinking and driving, as well as lights to increase visibility. The system uses components like an Arduino microcontroller, LCD display, RF transmitter/receiver, and Bluetooth module. It is powered by batteries and integrates with a motorcycle's electronics to remotely disable the bike if high alcohol levels are detected in the rider. The smart helmet aims to improve rider safety and make communication more convenient while traveling.
As we know that in India 50-60% of the population owns the two wheelers, In 2019 the domestic sells of the two wheelers were quite higher, since it is the most sold vehicle in India because of its low price, But now a days it is the most unsafe vehicle because of the reason of safety, As we know that accidents are increasing day by day, we can also notice that many laws and protocols are implemented by government in order to avoid this accidents. Accidents can be known as the unplanned event or the mistake that may occur causing in injury and sometimes it also leads to death. The accidents in case of two wheelers are more related to other vehicles. This may be avoided by wearing helmets and riding vehicles without consuming liquor. Since this survey is on smart helmet for accidence prevention and also we examining various related techniques. This research also helps us to understand IOT technology which is being developed now a days. Smart Helmet is the intelligent system that detects automatically whether the person is wearing the helmet and has nonalcoholic breath while driving. Here we have a transmitter on the helmet and the receiver on the bike. There is a switch used to assured the wearing of helmet on the head. The ON condition of the switch ensures the placing of the helmet in proper way. An alcohol sensor is placed near the mouth, the engine shouldn’t ON if any condition is violated, when the rider met with an accident and the helmet hits the ground then sensor sense and give the information to main controller it will activate the GSM Module which automatically sends the message to the family member.
1) The document proposes a speed vigilance system to reduce accidents caused by speeding.
2) It uses RF transmitters near hospitals and schools to send speed limit data to vehicles entering the area, which then alert the driver and reduce the speed of electric vehicles.
3) It also detects vehicle accidents automatically and sends emergency alerts including the crash location to registered contacts and local hospitals to reduce response times.
This document describes a smart helmet controlled vehicle system that aims to increase road safety for motorcyclists. The system uses sensors in the helmet and vehicle to detect accidents and send alerts. It utilizes an ESP-12E microcontroller, GSM modem for communication, and GPS for location tracking. When an accident is detected, the system sends SMS alerts with the rider's location to emergency contacts to help facilitate faster response times. The system is intended to address the growing issue of motorcycle accidents and help reduce fatalities through automated accident detection and emergency notification.
IRJET- Car Accident Detection and Reporting SystemIRJET Journal
This document describes a car accident detection and reporting system that uses sensors to detect accidents and sends alerts. When an accident occurs and the vibration sensor exceeds a threshold, the Arduino analyzes the sensor readings and takes action. It sends an SMS with the vehicle's location from the GPS module to emergency responders for immediate assistance. The system aims to reduce accidents and response time by automatically detecting accidents and messaging authorities. It provides a promising embedded approach using components like Arduino, GSM, GPS, and vibration sensors.
IRJET- No Text Driving: Android Deployment of Driver Behaviour AnalysisIRJET Journal
This document describes an Android application that aims to prevent texting while driving. The application monitors mobile texting and movement during driving using the mobile and vehicle's Bluetooth connection. If texting is detected while driving, the mobile screen is locked. Repeated offenses result in penalties deducted from the user's e-wallet. Incoming calls are disconnected while driving but emergency calls are permitted. The application uses sensors to detect texting and reduces vehicle speed when emergency calls are answered to promote safety. The goal is to enforce discipline and reduce distractions while driving through penalties and safety features.
IRJET- Survey on Smart Helmet System based on Internet of ThingsIRJET Journal
This document discusses the design of a smart helmet system based on the Internet of Things to improve road safety. The system aims to (1) make wearing a helmet mandatory, (2) prevent drinking and riding, (3) detect accidents and alert authorities, and (4) prevent overspeeding. The smart helmet contains sensors that detect if a helmet is being worn, the rider's alcohol level, and if an accident has occurred. It is connected to the motorcycle which can prevent ignition if safety rules are violated or detect overspeeding. If an accident is detected, emergency responders are automatically alerted of the rider's location to provide timely medical assistance. The system aims to reduce accidents by enforcing safety protocols and handling their aftermath
IRJET- Smart Technology for Vehicle SafetyIRJET Journal
The document proposes a smart system to avoid road accidents in hilly regions using vehicle-to-roadside (V2R) communication technology. The system would involve sensors on both vehicles and the roadside to detect hazards like excessive speed, foggy conditions, and landslides, and communicate warnings to prevent accidents. It describes the system design and components, including sensors to monitor speed, fog, and landslides, with the goal of reducing accidents through early detection of hazards and alerts to drivers.
IRJET - Automobile Black Box System for Vehicle Accident AnalysisIRJET Journal
This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
IRJET- Smart Helmet for Accident PreventionIRJET Journal
This document describes a smart helmet system that prevents motorcycle accidents by checking if the rider is wearing a helmet and is not under the influence of alcohol before starting the engine. The system includes an alcohol sensor and helmet switch fitted in the helmet that send data to a microcontroller. If either condition is not met, the microcontroller will not allow the engine to start. It also detects accidents using an accelerometer and sends location data via GSM to emergency contacts to help save lives. The system aims to reduce head injuries from no-helmet accidents and drunk driving accidents in developing nations like India where motorcycles are widely used.
IRJET - Accident Prevention Control System and Detection of Lost KeyIRJET Journal
This document describes a project to develop an accident prevention and control system using sensors and a microcontroller, as well as a system to detect lost keys using GPS. The accident prevention system uses an ultrasonic sensor to measure distance to nearby objects, and alerts the driver or takes actions like disabling the ignition if distances become too small. If an accident still occurs, the system uses GPS to locate the coordinates and sends an SMS using GSM to emergency contacts. The lost key detection system inserts a GPS module into keys to track their location via a mobile phone app or web page if lost. The system is intended to reduce accidents and provide safety, while having low cost, simple design, and low power consumption.
This document proposes a road safety plan using sensors to prevent accidents at hazardous hairpin curves in hilly areas. The system uses infrared detectors on each side of the curve connected to an Arduino microcontroller. When a vehicle is detected on one side, the Arduino activates a buzzer and LED lights on the other side to warn drivers. This sensor-based system aims to reduce accidents caused by limited visibility around blind curves by alerting drivers to oncoming traffic.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
VEHICLE SAFETY, SECURITY MONITORING AND TRACKING DEVICE USING ARDUINOIRJET Journal
This document describes a vehicle safety, security, and tracking device created using an Arduino board. The device uses various sensors to monitor driver safety and prevent accidents. It includes a pressure sensor to check for seatbelt use, an IR sensor to detect accidents, and an alcohol sensor to check for intoxication. If unsafe conditions are detected, the device prevents the vehicle from starting. In the event of an accident, the GPS and GSM modules send the vehicle's location to emergency contacts. The system aims to encourage safe driving behaviors and notify authorities quickly in emergency situations.
Accident preventing system with the help of pneumatic bumper protectionIRJET Journal
1. The document describes a system to prevent vehicle accidents using a pneumatic bumper protection.
2. An IR sensor detects obstacles in front of the vehicle and activates a solenoid valve to extend the pneumatic bumper. It also cuts power to the motor to engage the brakes.
3. The system aims to reduce vehicle and human damage from accidents by providing an automatic response when obstacles are detected to extend the bumper and brake the vehicle.
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...IRJET Journal
This document describes a vehicle theft detection system that uses various sensors integrated with a microcontroller and communication modules. The system uses an alcohol sensor to detect alcohol, a smoke sensor to detect smoke, and an emergency button. It sends alerts to a Blynk app and via SMS messages using an ESP8266 WiFi module and GPS and GSM modules. The microcontroller analyzes sensor data and controls alerts and ignition. The system was designed and tested to provide vehicle tracking, pollution monitoring, and safety features. Future extensions could include automatic emergency braking and drowsiness detection.
Alcohol sensing alert and vehicle locking systemIRJET Journal
This document presents a review of an alcohol sensing alert and vehicle locking system to prevent drunk driving accidents. The system uses an alcohol sensor placed near the driver to analyze their breath for alcohol content. If alcohol is detected above the legal limit, the system will display a warning, sound an alarm, and stop the car by locking the wheels. The goal is to automatically detect intoxicated driving and restrict vehicle control to reduce accidents from drunk driving. The system is designed using an Arduino controller connected to an alcohol sensor, LCD screen, and motor to demonstrate locking the wheels when alcohol is present in the driver's breath.
Real Time Driver Monitoring and Accident Avoidence Alerting SystemIRJET Journal
The document proposes a real-time driver monitoring and accident avoidance system that uses image processing and sensors to detect driver drowsiness, alert the driver with a buzzer, and apply the brakes if needed to prevent accidents. Key components include an Arduino, ESP8266 WiFi module, ultrasonic sensor, buzzer, and motor driver to control braking. The system aims to reduce the high number of accidents caused by drowsy driving each year in India.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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Design And Development of Speed-Breaker Detection and Automatic Speed Control...IRJET Journal
This document presents a design for an automatic speed control system for vehicles that detects speed breakers using ultrasonic sensors and controls the vehicle's speed to prevent accidents. It aims to address accidents caused by drivers failing to see inconspicuous speed breakers, especially in low visibility conditions. The system uses an Arduino microcontroller and ultrasonic sensors to detect speed breakers from a distance and automatically applies the brakes to reduce the vehicle's speed as it approaches. A literature review discusses previous research on speed control systems, accident prevention technologies, and automatic braking systems. The proposed system aims to improve safety by taking control of the vehicle's speed when a driver is inattentive and approaching a speed breaker.
IRJET - Smart Vehicle System for Accident PreventionIRJET Journal
This document presents three smart vehicle systems: 1) An automotive night vision system using an infrared camera, display, and Raspberry Pi to provide enhanced visibility at night. 2) A seatbelt alert system using a hall sensor to detect if the driver is wearing a seatbelt and prevents ignition if not. 3) An automated door locking system using ultrasonic sensors to detect obstacles and prevent doors from opening if an object is detected to avoid accidents. The systems aim to improve safety by addressing issues of nighttime visibility, enforcing seatbelt use, and preventing door-related accidents. Tables provide details on components and performance of each system.
The document describes a smart helmet that provides safety and communication features for motorcyclists. The helmet contains an intercom system that allows riders to communicate via Bluetooth without interrupting their ride. It also has an alcohol detection sensor to prevent drinking and driving, as well as lights to increase visibility. The system uses components like an Arduino microcontroller, LCD display, RF transmitter/receiver, and Bluetooth module. It is powered by batteries and integrates with a motorcycle's electronics to remotely disable the bike if high alcohol levels are detected in the rider. The smart helmet aims to improve rider safety and make communication more convenient while traveling.
As we know that in India 50-60% of the population owns the two wheelers, In 2019 the domestic sells of the two wheelers were quite higher, since it is the most sold vehicle in India because of its low price, But now a days it is the most unsafe vehicle because of the reason of safety, As we know that accidents are increasing day by day, we can also notice that many laws and protocols are implemented by government in order to avoid this accidents. Accidents can be known as the unplanned event or the mistake that may occur causing in injury and sometimes it also leads to death. The accidents in case of two wheelers are more related to other vehicles. This may be avoided by wearing helmets and riding vehicles without consuming liquor. Since this survey is on smart helmet for accidence prevention and also we examining various related techniques. This research also helps us to understand IOT technology which is being developed now a days. Smart Helmet is the intelligent system that detects automatically whether the person is wearing the helmet and has nonalcoholic breath while driving. Here we have a transmitter on the helmet and the receiver on the bike. There is a switch used to assured the wearing of helmet on the head. The ON condition of the switch ensures the placing of the helmet in proper way. An alcohol sensor is placed near the mouth, the engine shouldn’t ON if any condition is violated, when the rider met with an accident and the helmet hits the ground then sensor sense and give the information to main controller it will activate the GSM Module which automatically sends the message to the family member.
1) The document proposes a speed vigilance system to reduce accidents caused by speeding.
2) It uses RF transmitters near hospitals and schools to send speed limit data to vehicles entering the area, which then alert the driver and reduce the speed of electric vehicles.
3) It also detects vehicle accidents automatically and sends emergency alerts including the crash location to registered contacts and local hospitals to reduce response times.
This document describes a smart helmet controlled vehicle system that aims to increase road safety for motorcyclists. The system uses sensors in the helmet and vehicle to detect accidents and send alerts. It utilizes an ESP-12E microcontroller, GSM modem for communication, and GPS for location tracking. When an accident is detected, the system sends SMS alerts with the rider's location to emergency contacts to help facilitate faster response times. The system is intended to address the growing issue of motorcycle accidents and help reduce fatalities through automated accident detection and emergency notification.
IRJET- Car Accident Detection and Reporting SystemIRJET Journal
This document describes a car accident detection and reporting system that uses sensors to detect accidents and sends alerts. When an accident occurs and the vibration sensor exceeds a threshold, the Arduino analyzes the sensor readings and takes action. It sends an SMS with the vehicle's location from the GPS module to emergency responders for immediate assistance. The system aims to reduce accidents and response time by automatically detecting accidents and messaging authorities. It provides a promising embedded approach using components like Arduino, GSM, GPS, and vibration sensors.
IRJET- No Text Driving: Android Deployment of Driver Behaviour AnalysisIRJET Journal
This document describes an Android application that aims to prevent texting while driving. The application monitors mobile texting and movement during driving using the mobile and vehicle's Bluetooth connection. If texting is detected while driving, the mobile screen is locked. Repeated offenses result in penalties deducted from the user's e-wallet. Incoming calls are disconnected while driving but emergency calls are permitted. The application uses sensors to detect texting and reduces vehicle speed when emergency calls are answered to promote safety. The goal is to enforce discipline and reduce distractions while driving through penalties and safety features.
IRJET- Survey on Smart Helmet System based on Internet of ThingsIRJET Journal
This document discusses the design of a smart helmet system based on the Internet of Things to improve road safety. The system aims to (1) make wearing a helmet mandatory, (2) prevent drinking and riding, (3) detect accidents and alert authorities, and (4) prevent overspeeding. The smart helmet contains sensors that detect if a helmet is being worn, the rider's alcohol level, and if an accident has occurred. It is connected to the motorcycle which can prevent ignition if safety rules are violated or detect overspeeding. If an accident is detected, emergency responders are automatically alerted of the rider's location to provide timely medical assistance. The system aims to reduce accidents by enforcing safety protocols and handling their aftermath
IRJET- Smart Technology for Vehicle SafetyIRJET Journal
The document proposes a smart system to avoid road accidents in hilly regions using vehicle-to-roadside (V2R) communication technology. The system would involve sensors on both vehicles and the roadside to detect hazards like excessive speed, foggy conditions, and landslides, and communicate warnings to prevent accidents. It describes the system design and components, including sensors to monitor speed, fog, and landslides, with the goal of reducing accidents through early detection of hazards and alerts to drivers.
IRJET - Automobile Black Box System for Vehicle Accident AnalysisIRJET Journal
This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
IRJET- Smart Helmet for Accident PreventionIRJET Journal
This document describes a smart helmet system that prevents motorcycle accidents by checking if the rider is wearing a helmet and is not under the influence of alcohol before starting the engine. The system includes an alcohol sensor and helmet switch fitted in the helmet that send data to a microcontroller. If either condition is not met, the microcontroller will not allow the engine to start. It also detects accidents using an accelerometer and sends location data via GSM to emergency contacts to help save lives. The system aims to reduce head injuries from no-helmet accidents and drunk driving accidents in developing nations like India where motorcycles are widely used.
IRJET - Accident Prevention Control System and Detection of Lost KeyIRJET Journal
This document describes a project to develop an accident prevention and control system using sensors and a microcontroller, as well as a system to detect lost keys using GPS. The accident prevention system uses an ultrasonic sensor to measure distance to nearby objects, and alerts the driver or takes actions like disabling the ignition if distances become too small. If an accident still occurs, the system uses GPS to locate the coordinates and sends an SMS using GSM to emergency contacts. The lost key detection system inserts a GPS module into keys to track their location via a mobile phone app or web page if lost. The system is intended to reduce accidents and provide safety, while having low cost, simple design, and low power consumption.
This document proposes a road safety plan using sensors to prevent accidents at hazardous hairpin curves in hilly areas. The system uses infrared detectors on each side of the curve connected to an Arduino microcontroller. When a vehicle is detected on one side, the Arduino activates a buzzer and LED lights on the other side to warn drivers. This sensor-based system aims to reduce accidents caused by limited visibility around blind curves by alerting drivers to oncoming traffic.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
VEHICLE SAFETY, SECURITY MONITORING AND TRACKING DEVICE USING ARDUINOIRJET Journal
This document describes a vehicle safety, security, and tracking device created using an Arduino board. The device uses various sensors to monitor driver safety and prevent accidents. It includes a pressure sensor to check for seatbelt use, an IR sensor to detect accidents, and an alcohol sensor to check for intoxication. If unsafe conditions are detected, the device prevents the vehicle from starting. In the event of an accident, the GPS and GSM modules send the vehicle's location to emergency contacts. The system aims to encourage safe driving behaviors and notify authorities quickly in emergency situations.
Accident preventing system with the help of pneumatic bumper protectionIRJET Journal
1. The document describes a system to prevent vehicle accidents using a pneumatic bumper protection.
2. An IR sensor detects obstacles in front of the vehicle and activates a solenoid valve to extend the pneumatic bumper. It also cuts power to the motor to engage the brakes.
3. The system aims to reduce vehicle and human damage from accidents by providing an automatic response when obstacles are detected to extend the bumper and brake the vehicle.
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...IRJET Journal
This document describes a vehicle theft detection system that uses various sensors integrated with a microcontroller and communication modules. The system uses an alcohol sensor to detect alcohol, a smoke sensor to detect smoke, and an emergency button. It sends alerts to a Blynk app and via SMS messages using an ESP8266 WiFi module and GPS and GSM modules. The microcontroller analyzes sensor data and controls alerts and ignition. The system was designed and tested to provide vehicle tracking, pollution monitoring, and safety features. Future extensions could include automatic emergency braking and drowsiness detection.
Alcohol sensing alert and vehicle locking systemIRJET Journal
This document presents a review of an alcohol sensing alert and vehicle locking system to prevent drunk driving accidents. The system uses an alcohol sensor placed near the driver to analyze their breath for alcohol content. If alcohol is detected above the legal limit, the system will display a warning, sound an alarm, and stop the car by locking the wheels. The goal is to automatically detect intoxicated driving and restrict vehicle control to reduce accidents from drunk driving. The system is designed using an Arduino controller connected to an alcohol sensor, LCD screen, and motor to demonstrate locking the wheels when alcohol is present in the driver's breath.
Real Time Driver Monitoring and Accident Avoidence Alerting SystemIRJET Journal
The document proposes a real-time driver monitoring and accident avoidance system that uses image processing and sensors to detect driver drowsiness, alert the driver with a buzzer, and apply the brakes if needed to prevent accidents. Key components include an Arduino, ESP8266 WiFi module, ultrasonic sensor, buzzer, and motor driver to control braking. The system aims to reduce the high number of accidents caused by drowsy driving each year in India.
Similar to Review of causes of accident & its prevention methods in cars. (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.