The document describes a knock detecting door lock system that uses pattern recognition to unlock the door based on a user's unique knocking pattern. The system was designed to improve security over traditional key-based locks by only allowing those who know the correct pattern to open the door. The initial design used a microphone and sound processing but was changed to instead use touch sensors due to issues with noise. The final system design detects knocking patterns through touch sensors and unlocks the door if the pattern matches what is programmed by the user.
This document describes the fabrication of a printed circuit board (PCB) and prototyping of a door-knock or vibration alarm circuit. It includes a list of components used - PCB, LED, diode, resistor, transistor, IC LM324. It provides the circuit schematic, board layout designed using EAGLE software, and the chemical etching process. It then describes how the circuit works using the quad op-amp LM324 as an amplifier, with a buzzer as the input sensor and transistors to drive the output buzzer or relay. Adjusting the reference voltage with a potentiometer controls sensitivity.
This document describes an Arduino-based parking lot system project created by two students. The system uses an Arduino Uno microcontroller to keep track of the number of parked cars, display vacant spaces on a 7-segment display, and control a gate arm. The objectives are to design and build a prototype automated parking system and learn how to program and operate such a system using Arduino. Required materials include an Arduino Uno, servo motor, display, resistors, breadboard, and other basic electronic components. Potential real-world applications and current limitations are also outlined.
Automatic Train collision and Accident Avoidance systemPradeepRaj
This document proposes three ideas to help avoid train collisions and accidents:
1. An automated braking system for trains that can detect obstacles from long distances and apply the brakes optimally.
2. Real-time train monitoring systems along tracks that provide trains' speed, direction, and location to prevent vehicle collisions at crossings.
3. An alert system using pattern recognition of images along the tracks to detect changes like animals and notify personnel of potential collisions.
Implementing these ideas could greatly reduce rail accidents from collisions in the future.
The document discusses brain-computer interfaces (BCI), including a brief history starting with Hans Berger's discovery of EEG in 1924. It describes invasive, semi-invasive, and non-invasive BCI types, with invasive having higher accuracy but risks from surgery, and non-invasive using EEG, MRI, or other external measures. Potential applications include assisting paralyzed patients, memory functions, and direct brain-to-brain communication. BCI is presented as an advancing technology with applications in machine control, human enhancement, and more.
I propose a smart digital door lock system for home automation. A digital door lock system is equipment that uses the digital information such as a secret code, semi-conductors, smart card, and finger prints as the method for authentication instead of the legacy key system.
Here you will find details about how you can make a fire detection system by using arduino and flame sensor. We have also added the budget you need to make this project.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
This document describes the fabrication of a printed circuit board (PCB) and prototyping of a door-knock or vibration alarm circuit. It includes a list of components used - PCB, LED, diode, resistor, transistor, IC LM324. It provides the circuit schematic, board layout designed using EAGLE software, and the chemical etching process. It then describes how the circuit works using the quad op-amp LM324 as an amplifier, with a buzzer as the input sensor and transistors to drive the output buzzer or relay. Adjusting the reference voltage with a potentiometer controls sensitivity.
This document describes an Arduino-based parking lot system project created by two students. The system uses an Arduino Uno microcontroller to keep track of the number of parked cars, display vacant spaces on a 7-segment display, and control a gate arm. The objectives are to design and build a prototype automated parking system and learn how to program and operate such a system using Arduino. Required materials include an Arduino Uno, servo motor, display, resistors, breadboard, and other basic electronic components. Potential real-world applications and current limitations are also outlined.
Automatic Train collision and Accident Avoidance systemPradeepRaj
This document proposes three ideas to help avoid train collisions and accidents:
1. An automated braking system for trains that can detect obstacles from long distances and apply the brakes optimally.
2. Real-time train monitoring systems along tracks that provide trains' speed, direction, and location to prevent vehicle collisions at crossings.
3. An alert system using pattern recognition of images along the tracks to detect changes like animals and notify personnel of potential collisions.
Implementing these ideas could greatly reduce rail accidents from collisions in the future.
The document discusses brain-computer interfaces (BCI), including a brief history starting with Hans Berger's discovery of EEG in 1924. It describes invasive, semi-invasive, and non-invasive BCI types, with invasive having higher accuracy but risks from surgery, and non-invasive using EEG, MRI, or other external measures. Potential applications include assisting paralyzed patients, memory functions, and direct brain-to-brain communication. BCI is presented as an advancing technology with applications in machine control, human enhancement, and more.
I propose a smart digital door lock system for home automation. A digital door lock system is equipment that uses the digital information such as a secret code, semi-conductors, smart card, and finger prints as the method for authentication instead of the legacy key system.
Here you will find details about how you can make a fire detection system by using arduino and flame sensor. We have also added the budget you need to make this project.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
The document discusses peripherals and interfacing, specifically focusing on interfacing an I/O device like a keyboard to an 8051 microcontroller. It provides details on how the keyboard is organized in a matrix with rows and columns connected to microcontroller ports. It describes the process of scanning the rows and columns to detect key presses and identify the specific key. It includes circuit diagrams and explanations of interfacing the keyboard and displaying the pressed key on a 7-segment display.
WirelessHART is the first open wireless standard for the process control industry. It provides high reliability, security and real-time communication. This presentation introduces some main features of WirelessHART standard.
E-AWARE Technologies is a company specialized in wireless network solutions for monitoring and control in industrial environments. Our product offering consists of end-to-end wireless communications product lines and solutions for fast wireless standard integration.
Automatic Light Control using LDR and PIR SensorZiauddin Ridoy
The main purpose of designing this project is to prevent loss of current unnecessarily during day time.
During night the bulb will automatically glow .
COMPONENTS REQUIRED :
RELAY
LIGHT EMITTING DIODE (LED)
LIGHT DEPENDENT RESISTOR (LDR)
PASSIVE INFRARED SENSOR (PIR)
RESISTOR (1k ohm)
DIODE
TRANSISTOR (BC547)
BATTERY (POWER SOURCE)
Vehicular communication systems allow vehicles and roadside units to communicate and share information such as safety warnings and traffic updates. Vehicles can communicate using radio waves or infrared signals. Different radio bands like VHF, micro, and millimeter waves can be used. Bluetooth operates at 2.4 GHz and works up to 80 km/h and 80 meters. Static parameters identify a vehicle's size and GPS location, while dynamic parameters provide real-time position, speed, direction, and status of vehicle components. Information sharing between vehicles can provide safety and traffic benefits but also introduces security vulnerabilities like impersonation, jamming, and forgery of false information.
IRJET- IOT based Agriculture System using NodeMCUIRJET Journal
This document describes an IoT-based smart agriculture system using NodeMCU. The system monitors soil properties like temperature, humidity, and moisture levels using sensors and sends the data to NodeMCU. NodeMCU acts as both a microcontroller and server to control operations remotely. The system aims to automate watering based on soil moisture levels to avoid water wastage. It allows monitoring and controlling the farm from anywhere using a mobile or web application. Experimental results show the system can successfully monitor sensor values and automatically control a motor to irrigate fields based on moisture levels without human presence. This smart agriculture system using IoT has potential to improve efficiency in irrigation management.
This document presents a home automation system using Node MCU. It proposes using Node MCU to control electrical appliances like fans, lights and doors via a smartphone app. The system would allow control of devices from a long distance. It discusses related work on home automation with Node MCU. The proposed work would allow energy savings and home security through remote control and monitoring. A block diagram shows the system components including Node MCU, relay drivers, appliances, and a smartphone app. The methodology describes programming Node MCU to control relays and devices. Testing showed the system can automate home appliances through remote smartphone control.
Smart street lighting control system project PPT PetchiMuthu26
This document contains details about a smart street light control system project. It lists the batch members and project guide. The objectives are to reduce energy consumption and inform authorities about any incidents or street light faults using sensors, a camera and GSM modem. It describes the components used like PIR sensor, vibration sensor, camera, microcontroller. It also explains how ThingSpeak cloud platform can be used to store and access real-time sensor data through mobile phones.
DHT11 Digital Temperature and Humidity SensorRaghav Shetty
The DHT11 Temperature & Humidity Sensor features a temperature & humidity sensor complex with calibrated digital signal output. By using the exclusive digital-signal-acquisition technique and temperature & humidity sensing technology, it ensures high reliability and excellent long term stability.
This sensor include a resistive type humidity measurement component and a NTC temperature measurement component, and connect to a high performance 8-bit microcontroller, offering excellent quality, fast response, anti-interface ability and cost effectiveness.
It’s of small size, low power consumption and up-to 20 meter signal transmission makes it a best choice for various applications.
The focus of the Indian Railways is to increase capacity utilization of existing assets including rolling stock, track infrastructure, traction power and signalling & telecommunications. By running more high speed trains on the existing infrastructure, passengers and freight carrying capacity as well as revenue and profitability can be increased. In order to ensure safety over high speed and high density rail networks of Indian Railways it is the need of the hour to implement Automatic Train Protection (ATP) system such as Train Collision Avoidance System (TCAS). Indian Railways have taken up indigenous development of Train Collision Avoidance System (TCAS) through Research Designs & Standards Organization (RDSO) to prevent dangerous train collisions caused due to human errors or limitations and equipment failures by providing additional layer of enhanced safety in the operations.
The document presents a smart street light system that uses sensors to detect vehicles and adjusts street light brightness accordingly to save energy. It aims to reduce wasted energy by turning lights off when no vehicles are present. The system uses IR sensors to detect vehicles, microcontrollers to control LED street lights, and PWM technique to dim lights to 10% intensity between vehicles. It is presented as an energy efficient and cost effective alternative to existing street light technologies.
The document describes an automatic firefighting robot that can detect and extinguish fires. It uses sensors to detect temperature, smoke, and flames. If the sensors detect a fire, the microcontroller activates a water pump to extinguish it. The robot reduces human labor needed for firefighting and decreases damage from fires. It is designed to monitor hazardous areas for natural disasters and bomb explosions.
This document presents a smart door system that uses a passive infrared (PIR) sensor to automatically open and close doors based on detecting nearby movement. The system includes an ATmega328 microcontroller, PIR sensor, relay driver IC, voltage regulator, LCD display, and other components. When the PIR sensor detects a person within its range, it sends a signal to the microcontroller to open the door. The door then automatically closes after a set time delay if no further movement is detected. The smart door system aims to provide convenience for disabled individuals and reduce contact with doors in places like hospitals.
This document describes the design of a smart street light system that uses sensors and a microcontroller to automatically control street lights. The system aims to reduce energy waste by switching lights on only when motion is detected and adjusting brightness based on sunlight levels. Key components include infrared and proximity sensors to detect vehicles, an Arduino microcontroller to control the lights, and a light dependent resistor to measure sunlight intensity and determine when to turn lights on or off. The document outlines the problem, objectives, design constraints, system features and components.
This document describes a smart car parking system using IoT. The system uses sensors to detect available parking spots and sends the information to a display and mobile app. Cars enter and exit the parking area through automated gates controlled by IR sensors. Users can check the app to see available spots and navigate to empty ones indicated by green LED lights, while occupied spots have red lights. This optimized system reduces traffic and pollution compared to traditional parking methods.
The document provides several IoT case studies deployed in India across various industries like manufacturing, supply chain, transportation, healthcare, smart governance and utilities. Some key case studies discussed include predictive maintenance of machines using sensors in a food packaging industry, improving efficiency in production using sensors, fleet tracking solutions, remote machine monitoring, smart metering, and more. The case studies showcase how IoT is helping address different business needs and enabling benefits like reduced costs, increased productivity and efficiency.
Wi-Vi or wireless vision is one of the most modern technologies which use wireless fidelity or Wi-Fi as the core principle. Basically, it deals with tracking and manipulation of Wi-Fi signals.
Wi-Vi is used to image the obstacles or solids behind any wall or obstructions. The most important advantage of this is it is completely wireless and no cables or wires are used. Hence it becomes more suitable for usage in mobile devices and other lightweight technologies. Wireless facility also allows it to use in armed force and other security agencies.
As we know that SOANR and RADAR uses the principle of transmission and reflected waves, the Wi-Vi which uses the same principle can be called as an adaptation of those. But it also posses several differences and simpler apparatus. We will see those modifications on the coming pages of the paper.
The document discusses vehicle-to-vehicle (V2V) communication and proposes using ultrasonic sensors, ZigBee technology, and buzzers to enable communication between vehicles. It describes how ultrasonic sensors would work to measure distance and outlines some key features of ZigBee for wireless transmission of sensor data. The goal is to develop a cooperative collision warning system to help prevent accidents by providing early alerts to drivers. Future work may involve using GPS, WiFi, cameras, or signals from traffic boards to expand communication capabilities.
This document describes a project report for a door knock alarm with timer circuit. It includes an abstract, introduction, theory/principle, circuit analysis, PCB analysis, assembly and testing, working of the circuit, expectations and achievements, project cost, component details, shortcomings and future applications. The circuit uses a piezoelectric sensor to detect door knocks, which triggers a NE555 timer IC to enable a melody generator IC for a set period of time. The music plays through a speaker. The time period can be adjusted with a variable resistor. The project aims to develop a low-cost circuit to alert users when someone knocks on the door.
Presentation on knock door bell project by namitNamit Sood
This project presents a doorbell that alerts users when someone knocks on the door by playing a ringtone and illuminating an LED, without requiring wiring or drilling holes. The device uses a piezoelectric vibration sensor mounted on the door to detect knocks and convert the vibrations into an electrical signal. The signal is amplified and fed into a comparator circuit using an LM358 integrated circuit, with the sensitivity controlled by a potentiometer. When a knock exceeds the threshold, the comparator output triggers a buzzer to sound and notify the user of the knock. The device is powered by batteries and easier to install than a traditional doorbell.
The document discusses peripherals and interfacing, specifically focusing on interfacing an I/O device like a keyboard to an 8051 microcontroller. It provides details on how the keyboard is organized in a matrix with rows and columns connected to microcontroller ports. It describes the process of scanning the rows and columns to detect key presses and identify the specific key. It includes circuit diagrams and explanations of interfacing the keyboard and displaying the pressed key on a 7-segment display.
WirelessHART is the first open wireless standard for the process control industry. It provides high reliability, security and real-time communication. This presentation introduces some main features of WirelessHART standard.
E-AWARE Technologies is a company specialized in wireless network solutions for monitoring and control in industrial environments. Our product offering consists of end-to-end wireless communications product lines and solutions for fast wireless standard integration.
Automatic Light Control using LDR and PIR SensorZiauddin Ridoy
The main purpose of designing this project is to prevent loss of current unnecessarily during day time.
During night the bulb will automatically glow .
COMPONENTS REQUIRED :
RELAY
LIGHT EMITTING DIODE (LED)
LIGHT DEPENDENT RESISTOR (LDR)
PASSIVE INFRARED SENSOR (PIR)
RESISTOR (1k ohm)
DIODE
TRANSISTOR (BC547)
BATTERY (POWER SOURCE)
Vehicular communication systems allow vehicles and roadside units to communicate and share information such as safety warnings and traffic updates. Vehicles can communicate using radio waves or infrared signals. Different radio bands like VHF, micro, and millimeter waves can be used. Bluetooth operates at 2.4 GHz and works up to 80 km/h and 80 meters. Static parameters identify a vehicle's size and GPS location, while dynamic parameters provide real-time position, speed, direction, and status of vehicle components. Information sharing between vehicles can provide safety and traffic benefits but also introduces security vulnerabilities like impersonation, jamming, and forgery of false information.
IRJET- IOT based Agriculture System using NodeMCUIRJET Journal
This document describes an IoT-based smart agriculture system using NodeMCU. The system monitors soil properties like temperature, humidity, and moisture levels using sensors and sends the data to NodeMCU. NodeMCU acts as both a microcontroller and server to control operations remotely. The system aims to automate watering based on soil moisture levels to avoid water wastage. It allows monitoring and controlling the farm from anywhere using a mobile or web application. Experimental results show the system can successfully monitor sensor values and automatically control a motor to irrigate fields based on moisture levels without human presence. This smart agriculture system using IoT has potential to improve efficiency in irrigation management.
This document presents a home automation system using Node MCU. It proposes using Node MCU to control electrical appliances like fans, lights and doors via a smartphone app. The system would allow control of devices from a long distance. It discusses related work on home automation with Node MCU. The proposed work would allow energy savings and home security through remote control and monitoring. A block diagram shows the system components including Node MCU, relay drivers, appliances, and a smartphone app. The methodology describes programming Node MCU to control relays and devices. Testing showed the system can automate home appliances through remote smartphone control.
Smart street lighting control system project PPT PetchiMuthu26
This document contains details about a smart street light control system project. It lists the batch members and project guide. The objectives are to reduce energy consumption and inform authorities about any incidents or street light faults using sensors, a camera and GSM modem. It describes the components used like PIR sensor, vibration sensor, camera, microcontroller. It also explains how ThingSpeak cloud platform can be used to store and access real-time sensor data through mobile phones.
DHT11 Digital Temperature and Humidity SensorRaghav Shetty
The DHT11 Temperature & Humidity Sensor features a temperature & humidity sensor complex with calibrated digital signal output. By using the exclusive digital-signal-acquisition technique and temperature & humidity sensing technology, it ensures high reliability and excellent long term stability.
This sensor include a resistive type humidity measurement component and a NTC temperature measurement component, and connect to a high performance 8-bit microcontroller, offering excellent quality, fast response, anti-interface ability and cost effectiveness.
It’s of small size, low power consumption and up-to 20 meter signal transmission makes it a best choice for various applications.
The focus of the Indian Railways is to increase capacity utilization of existing assets including rolling stock, track infrastructure, traction power and signalling & telecommunications. By running more high speed trains on the existing infrastructure, passengers and freight carrying capacity as well as revenue and profitability can be increased. In order to ensure safety over high speed and high density rail networks of Indian Railways it is the need of the hour to implement Automatic Train Protection (ATP) system such as Train Collision Avoidance System (TCAS). Indian Railways have taken up indigenous development of Train Collision Avoidance System (TCAS) through Research Designs & Standards Organization (RDSO) to prevent dangerous train collisions caused due to human errors or limitations and equipment failures by providing additional layer of enhanced safety in the operations.
The document presents a smart street light system that uses sensors to detect vehicles and adjusts street light brightness accordingly to save energy. It aims to reduce wasted energy by turning lights off when no vehicles are present. The system uses IR sensors to detect vehicles, microcontrollers to control LED street lights, and PWM technique to dim lights to 10% intensity between vehicles. It is presented as an energy efficient and cost effective alternative to existing street light technologies.
The document describes an automatic firefighting robot that can detect and extinguish fires. It uses sensors to detect temperature, smoke, and flames. If the sensors detect a fire, the microcontroller activates a water pump to extinguish it. The robot reduces human labor needed for firefighting and decreases damage from fires. It is designed to monitor hazardous areas for natural disasters and bomb explosions.
This document presents a smart door system that uses a passive infrared (PIR) sensor to automatically open and close doors based on detecting nearby movement. The system includes an ATmega328 microcontroller, PIR sensor, relay driver IC, voltage regulator, LCD display, and other components. When the PIR sensor detects a person within its range, it sends a signal to the microcontroller to open the door. The door then automatically closes after a set time delay if no further movement is detected. The smart door system aims to provide convenience for disabled individuals and reduce contact with doors in places like hospitals.
This document describes the design of a smart street light system that uses sensors and a microcontroller to automatically control street lights. The system aims to reduce energy waste by switching lights on only when motion is detected and adjusting brightness based on sunlight levels. Key components include infrared and proximity sensors to detect vehicles, an Arduino microcontroller to control the lights, and a light dependent resistor to measure sunlight intensity and determine when to turn lights on or off. The document outlines the problem, objectives, design constraints, system features and components.
This document describes a smart car parking system using IoT. The system uses sensors to detect available parking spots and sends the information to a display and mobile app. Cars enter and exit the parking area through automated gates controlled by IR sensors. Users can check the app to see available spots and navigate to empty ones indicated by green LED lights, while occupied spots have red lights. This optimized system reduces traffic and pollution compared to traditional parking methods.
The document provides several IoT case studies deployed in India across various industries like manufacturing, supply chain, transportation, healthcare, smart governance and utilities. Some key case studies discussed include predictive maintenance of machines using sensors in a food packaging industry, improving efficiency in production using sensors, fleet tracking solutions, remote machine monitoring, smart metering, and more. The case studies showcase how IoT is helping address different business needs and enabling benefits like reduced costs, increased productivity and efficiency.
Wi-Vi or wireless vision is one of the most modern technologies which use wireless fidelity or Wi-Fi as the core principle. Basically, it deals with tracking and manipulation of Wi-Fi signals.
Wi-Vi is used to image the obstacles or solids behind any wall or obstructions. The most important advantage of this is it is completely wireless and no cables or wires are used. Hence it becomes more suitable for usage in mobile devices and other lightweight technologies. Wireless facility also allows it to use in armed force and other security agencies.
As we know that SOANR and RADAR uses the principle of transmission and reflected waves, the Wi-Vi which uses the same principle can be called as an adaptation of those. But it also posses several differences and simpler apparatus. We will see those modifications on the coming pages of the paper.
The document discusses vehicle-to-vehicle (V2V) communication and proposes using ultrasonic sensors, ZigBee technology, and buzzers to enable communication between vehicles. It describes how ultrasonic sensors would work to measure distance and outlines some key features of ZigBee for wireless transmission of sensor data. The goal is to develop a cooperative collision warning system to help prevent accidents by providing early alerts to drivers. Future work may involve using GPS, WiFi, cameras, or signals from traffic boards to expand communication capabilities.
This document describes a project report for a door knock alarm with timer circuit. It includes an abstract, introduction, theory/principle, circuit analysis, PCB analysis, assembly and testing, working of the circuit, expectations and achievements, project cost, component details, shortcomings and future applications. The circuit uses a piezoelectric sensor to detect door knocks, which triggers a NE555 timer IC to enable a melody generator IC for a set period of time. The music plays through a speaker. The time period can be adjusted with a variable resistor. The project aims to develop a low-cost circuit to alert users when someone knocks on the door.
Presentation on knock door bell project by namitNamit Sood
This project presents a doorbell that alerts users when someone knocks on the door by playing a ringtone and illuminating an LED, without requiring wiring or drilling holes. The device uses a piezoelectric vibration sensor mounted on the door to detect knocks and convert the vibrations into an electrical signal. The signal is amplified and fed into a comparator circuit using an LM358 integrated circuit, with the sensitivity controlled by a potentiometer. When a knock exceeds the threshold, the comparator output triggers a buzzer to sound and notify the user of the knock. The device is powered by batteries and easier to install than a traditional doorbell.
This document describes a smart door knocker device that uses an Arduino, piezoelectric sensor, servo motor, and other components. The piezoelectric sensor detects knock signals which are processed by the Arduino microcontroller. The microcontroller then controls the servo motor to actuate the door lock if the knock signal matches a programmed pattern. The device was created by students at the Polytechnic State of Bandung to allow for secret knock-based door access.
This document describes a password based door locking security system presented by four students. The system uses a microcontroller, keypad, LCD display, buzzer, DC motor, and other components. It allows a user to enter a password to open the door for security and can be used to secure doors, lockers, and other areas. The system was tested and provides advantages like automatic door opening and indication of unauthorized entry while being cost efficient.
This document is a major project report submitted by two students, Mahesh Patil and Shivnaresh Likhar, towards fulfilling the requirements for a Bachelor of Engineering degree in Electronics and Communication Engineering. The report describes the development of a "Smart Door" system using embedded systems and microcontrollers. It includes recommendations from professors, a certificate of completion, acknowledgements, an abstract, and table of contents outlining the various chapters which will describe the literature review, analysis, design, implementation, testing and conclusion of the smart door system.
This document summarizes a college project to build an Arduino-based robot that can track and follow an infrared LED. The robot uses an array of 8 infrared sensors connected to an Arduino Uno microcontroller. The Arduino processes the sensor data and controls two continuous rotation servomotors that drive the wheels. Testing showed the robot could track the infrared LED from up to 14 meters away. Issues with sensor field of view and reflective surfaces hindered tracking at close ranges. Adding distance sensors was proposed to help with navigation if the infrared signal is lost. The overall goal of building a robot capable of infrared tracking and following was accomplished.
Password based wireless door opener security systempragyajain53
This document presents a password-based wireless door opener security system. The system uses an HT12E transmitter with switches as a remote to enter a password, which is sent via radio signals to an HT12D receiver connected to a microcontroller and LCD display. If the entered password matches the actual password, the door opens and a message is displayed; otherwise, the door remains closed and a wrong password message is shown. The system provides keyless access automation and security through password protection for homes, offices, and garages.
The document discusses hacking your doorbell and getting started with IoT devices. It provides an overview of the Internet of Things and its growth, then recommends several hardware platforms for starting IoT projects - the Arduino, Netduino, Raspberry Pi, and BeagleBone Black. Each option is described with its advantages and disadvantages. Contact information and credits are provided at the end.
This document presents a smart door system that uses a passive infrared (PIR) sensor to automatically open and close doors. The system includes a microcontroller, PIR sensor, relay driver, voltage regulator, relay, and other components. When a person is detected near the door by the PIR sensor, the microcontroller signals the relay driver to open the door. The door automatically closes after a set time delay if no further movement is detected. Automatic doors provide benefits for disabled individuals and help improve safety and efficiency in places like hospitals, warehouses, and commercial buildings.
Ken Courtright of Income Store explains how the world of the web works. Ken goes into Modeling and how to model, both online and offline, providing case studies of Burger King modeling McDonalds as well as Andre Agassi's modeling to become number one in tennis.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
1) Vibration is the motion of mechanical parts back and forth from its position of rest. It is caused by an induced force and freedom for movement.
2) Vibration amplitude can be measured as displacement, velocity, or acceleration, with different units providing information about strain, fatigue, and forces.
3) Vibration analysis can detect faults like unbalance, misalignment, bearing defects, and more by examining the ratios of horizontal, vertical, and axial amplitudes and frequency spectrum characteristics.
The safety in the house is very important.This project presents a prototype smart door lock which can be used to enhance security of a door which is a smart door lock.Here we can utilize Bluetooth technology to scan Bluetooth Devices at the door knob for automatic door lock purposes.
This document discusses vibration measurement. It defines vibration as oscillating motion about a fixed point that can be simple harmonic or complex. Vibration can be characterized by frequency and amplitude, with units depending on the parameter measured - acceleration, velocity, or displacement. The document discusses various vibration measurement devices including stroboscopes, reed vibrometers, and seismic-mass transducers, which can be designed to measure displacement, velocity, or acceleration depending on mass and damping properties. Velocity measurement is most commonly used due to its relationship to vibrational energy and support from standards organizations.
This document discusses different types of doorbell systems. It describes traditional wired doorbells which use a transformer to power the bell. It also covers wireless doorbells which send a radio signal to activate a receiver unit inside. The document outlines doorbell options for deaf users, including vibration-based systems that provide tactile alerts and light-based systems that flash lights. Radio doorbells are also discussed as they trigger speakers throughout a home. Circuit diagrams are provided for sample wired and light-based alert doorbell designs.
The document describes a laser security system and magnetic security system project. It includes:
1. A list of group members and introduces the security system project.
2. An overview of the components of a laser security system - a laser, detector, and sensing electronics.
3. A description of how a magnetic switch works using a magnet to turn a circuit on/off.
3. Details about the advantages of the security systems, their costs, power sources, and ease of use.
This system creates a password protected door lock using a microcontroller. It takes a password input from the user via a keypad, compares it to the programmed password, and only opens the door motor if they match by setting a port. Otherwise, it displays a "wrong password" message on an LCD screen.
This project report describes a security alarm circuit that uses a light dependent resistor (LDR) to detect intruders. When light falling on the LDR is interrupted, a monostable multivibrator circuit uses an IC 555 timer chip to activate a relay switch for 5-55 seconds, triggering an alarm. The circuit aims to provide inexpensive home protection and could also be used for novel applications at festivals.
Automatic doorbell with object detectionAnurag Alaria
This document describes an automatic doorbell system that uses ultrasonic sensors to detect movement and ring a doorbell. It provides details on the components and circuit design of the transmitter and receiver modules that use ultrasonic waves to detect a person. The system is intended to automatically sense someone's presence and ring the doorbell, saving time and enhancing security compared to a traditional doorbell. The document includes circuit diagrams and descriptions of the main integrated circuits used, including the IC 555 timer and LM324 op-amp. It provides specifications and characteristics for the transistors and other components in the design.
This document describes a knock detecting door lock system created by a group of students. The system uses a touch sensor circuit to detect unique knocking patterns on the door and only unlocks if the pattern matches a stored pattern. It was initially designed to use a microphone but was changed to the touch sensor to avoid noise issues. The system includes an Arduino microcontroller for processing the knock pattern and unlocking a servo motor-controlled lock. Further security improvements like Bluetooth phone verification were also proposed.
Silent Sound Technology allows for communication without making audible sounds by interpreting silent speech or lip movements and converting them to computer-generated audio or text. It uses electromyography to monitor tiny muscle movements involved in speech and converts the electrical signals to audio. Image processing techniques like lip reading are also used to recognize words based on lip and facial expressions. While it has applications like helping those who lost their voice and enabling covert communication, current methods requiring sensors attached to the face make the technology impractical. Researchers are working to develop more portable and accurate systems to realize the full potential of silent communication.
This document describes a project to develop an accelerometer-based contact microphone system to enable voice communication in high noise environments. The system uses accelerometers placed on the head to capture vocal vibrations, a Teensy board to perform signal processing including fast Fourier transforms and filtering, and voice recognition software to match the vocal signals to text. The goal is to filter out background noise so voices can be clearly understood. Potential applications include military, industrial, firefighting and other fields where loud noise makes communication difficult. The system was tested in various noisy conditions and showed effectiveness in distinguishing voices from background noise.
The document discusses various technologies used to create a film opening, including a camcorder to record scenes, digital camera to take photos throughout production, blogger to share work and store research, Motion software to create idents, Final Cut Pro to edit the film, Sound Cloud for copyright-free music, and a voice recorder to add a voiceover. These technologies helped effectively capture footage, edit elements together, and add necessary audio features to complete the film opening.
The document discusses various technologies used to create a film opening, including a camcorder to record scenes, digital camera to take photos throughout production, blogger to share work and store research, Motion software to create idents, Final Cut Pro to edit the film, Sound Cloud for copyright-free music, and a voice recorder to add a voiceover. These technologies helped the group effectively divide tasks, capture footage, edit components, and produce a polished film opening with identifying credits.
Smart solution for collision at doors using ArduinoAmon Olimov
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complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
1) Silent Sound Technology allows for communication without speaking by detecting lip movements and converting them to electrical signals that are then translated into sound signals.
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3) Potential applications include silent communication in noisy places, aiding those who have lost their voice, and transmitting confidential information privately. However, it still faces restrictions related to accuracy and practical usability.
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In today's world we know the importance of encryption and privacy and with data being the most prized possession it is more important than ever to protect that data. Therefore for our project we are aiming at using this as our principal objective for protecting signal and audio during transmission.
To do this will use digital watermarking and using a digital image/unique code superimposing the signal and then transposing that image as a watermark on the audio signal.
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This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by using electromyography to detect tiny muscle movements involved in speech and processing images of a person's mouth and face. The technology was first conceptualized in a 1968 film and is now being developed to allow "lost calls" in noisy environments to be answered silently. Potential applications include helping mute people communicate, secretly transmitting PIN numbers, and covert military communications. The technology is expected to be incorporated into phones and improve as nanotechnology advances.
Silent sound technology allows communication without speaking aloud by interpreting tiny muscular movements involved in speech. It uses electromyography to monitor muscle signals or image processing of lip movements. Signals are converted to electrical pulses and synthesized speech. Applications include helping people who lost their voice, silent phone calls, and covert military communication. While innovative, silent sound technology has potential for secure communication without disturbing others.
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Full-RAG: A modern architecture for hyper-personalization
Knock detecting door lock research paper
1. Knock detecting door lock.
Group members
D.G.U.I Wickramarathna 100590G
D.G.C.D Wijerathna 100596F
Y.M.S.N Wijayarathna 100597J
W.M.N.C Wijebandara 100598M
2. Abstract
The project idea was to build a knock detecting In building knock detecting door lock we used
door lock which can identify the specific knocking micro controllers, pattern detecting algorithms,
pattern and unlock the door if the pattern is touch sensor circuit and password detect system.
correct. This door locking system provides much At the first we use a Guitar Pick (microphone
security than systems which are currently using. used in guitars) and detect the sound appears
When there are many users who use the door, when knocking the door, but later we change it so
problems may occur because there is only one key it detect pattern by touch sensing.
to open the door. But here in this door locking
system this kind of problems may not occur
because the users who know the knocking pattern
can open the door any time without a key.
Introduction
Background
Problem
Door lock is use in doors to lock the door, it is a
security strategy use for avoiding to open the Key door lock is the most common door lock we
door. Only rightful person can open the door. see in homes and many other buildings. Mostly
There are many type of door locks currently use one key is use for one door so when many users
in the world. Key door lock is the most common use door problems may occurs. And also
one among them. In high security systems it uses security problems may occur if the keys can be
electronic door locks. Electronic door lock is duplicated.If the key is lost door can’t be opened
locking device which operate with the means of by the user and it can be found by someone else.
electricity. More often electronic door locks are And also door opening should be very simple
connected to an access control.The advantages and user doesn’t like to spend more time in front
of an electric lock connected to an access control of the door opening the door. So face
system include: key control, where keys can be recognition, eye detecting door lock also have
added and removed without re-keying the lock some problems. Passcode door locks have
cylinder; fine access control, where time and security problems in if someone can fetch the
place are factors; and transaction logging, where password by looking user typing the password.
activity is recorded. Numerical codes,
passwords, passphrase, Security tokens, Objective
biometrics, Finger prints, Face recognition etc. We thought about the above mentioned problem
are some types of electronic locks. and try to find a solution and a way to improve
the security. So knock detecting door lock is the
idea we came up. Here door user can assign
specific knocking pattern to the door lock (can
be a music pattern of a song or a simple pattern)
so only the person who know the pattern and
who can knock that pattern in certain accuracy
can open the door. So only having one key
3. trouble may not occur with this door lock. Research
Because any user who use the door should know
the knocking pattern and they can open the door As mentioned in Introduction first we identified
any time they want. Further development and the need of a door locking system that reacts to
higher security we thought about having a knocking.
password or face recognition. But it will take In our research period first we studied about
much money for the equipment so we decide
how to get sound of knocking. Getting noise free
only to build the knock detecting part. And also sound, how to recognize patterns using suitable
we thought about farther development by algorithms, connecting system with users mobile
connecting the door lock with a mobile phone phone via internet, Arduino Programming are
via blue tooth. It increase the security and if user the thing we researched in this period in purpose
forgot the knock pattern only the specific user is of coming up with a better solution for the
able to connect the door lock. problem we identified.
Then we identified the most suitable way to
Methods reach our solution.
march April May June
1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
Identifyin Design
g the
Project The first design we came up with is to identify
Research correct knock by identifying sound made at the
knock. This is the design we came up to give
Making that kind of solution.
the project
Proposal
and cost
Microphone
estimation
Design
Signal
Making Amplifier
Prototype
Implement Analog to
ation Digital
Converter
Testing
and Finish Signal
Project Processing
Unit
Document
ation
Door Lock
4. In this first design we used a guitar pick- output will be send in to the door lock which
up(microphone used in guitars) (Figure 1) as the will be opened only if the knock has accepted.
microphone. We used it because it can be
attached to wood, here to door so it only get the There were few drawbacks of this design.
sound come along the timber without any noise. 1. The PIC we planned to use 16F877A
This microphone doesn’t accept any sound other has less performance than we expected.
than sound of knocking.
2. Pattern recognition algorithms are too
much complex.
3. Even though we use a Guitar
Microphone which reduces the noise,
noise still have a big impact on results.
Because of these issues we had to go to an
alternate solution to the problem.
To avoid these problems we do certain changes
in our design. We decided get pattern of the
knock by using touch sensing other than getting
sound input. This avoids problems occurred due
to noise.
Figure 1 :Guitar pick-up
We replaced PIC with an Arduino Mega 2560
From microphone we get a current signal that is
development kit. Since it has more processing
proportional to the energy of the sound wave
power and memory, we could solve the
received by the microphone.
problems occurred due to law performance of
Then this signal is send to the signal amplifier. PIC.
This circuit amplifies the weak signal from Touch-
triggered
microphone so it can be used in processing. switch
Then the amplified signal is send into the Signal
Analog to Digital Converter circuit. In that part Processing
Unit
analog signal is sampled at foscillator/64 rate. Then
average voltage of each sample is compared
Door Lock
with reference voltage and output 1 or 0 for each
sample. Then the output from ADC is a 1, 0 bit
pattern. Implementation
This bit stream is send into the processing unit. Touch triggering switch
In processing unit this bit pattern is compared
with the saved bit pattern, which is Touch-triggering switch is a circuit which gives
corresponding to the correct knock. If the digital output, it returns +5V when touch is
difference between 2 bit patterns is less than pre- present and 0V when no touch present. So the
defined percentage, the knock is accepted as output of this part will be a digital signal
correct. Otherwise it is considered as wrong. An depending on knock.
5. We identified three types of touch switches. We identified that this type of switch is more
suitable for our device so we designed a switch
Resistance touch switch using this type.
Hum touch switch
Capacitive touch switch So we used ne555 touch circuit which is a type
of Hum touch switch also have some deviation
Resistance touch switch (Figure 2) is the most from it.
basic type of touch switch it is based on the fact
that human tissues,have a great amount of water This circuit returns a digital signal
and salt, something that makes it conductive. corresponding to the knock made. This signal is
send into the signal processing unit.
Figure 2 :Resistance touch switch
This is not very flexible design and it needs two
electrodes, and not suitable for exposed to
environment very much because it can make a
conductivity between two electrodes with the
time. Figure 4 : ne555 touch circuit
Hum touch switch(figure 3) is An Hum touch
sensor uses a high gain amplifier such as a
Darlington pair to amplify this parasitic voltage.
Here is a basic circuit with such a sensor:
Figure 3: Hum touch switch
6. Signal Processing Part
is given a priority value according to how many
saved patterns it matched with. If it is a correct
knock it is saved with its priority value. So when
number of times knocks has made is increased,
the accuracy of the algorithm will also increase.
Door lock
Electronic door locks use magnets, solenoids
Figure 4 : Circuit Schematic diagram and motors to actuate the lock by either
supplying or removing power. Operating the
lock can be as simple as using a switch, for
example an apartment intercom door release, or
In signal processing unit, digital signal as complex as a biometric based access
corresponding to knock made at door is control system.
compared with knock patterns which are saved.
In Magnetic Lock a large electro-magnet is
Signal processing is done by ATMEGA328 mounted on the door frame and a corresponding
micro controller. We used Arduino Uno circuit armature is mounted on the door. When the
which ATMEGA328 is connected. magnet is powered and the door is closed, the
armature is held fast to the magnet. Mag locks
Programming
are simple to install and are very attack resistant.
Arduino board was programmed using C But the problem with this lock is this needs a
language. large current and it cannot be supplied by a
battery. This current has to be given in main
In the program, first we save 3 sample knocks in supply, and when there is a power cut this lock
processing unit. We have to knock 3 times while will not work.
pressing a button, so 3 knocks will be saved.
What is saved here is the time gaps between two In our design we used motor actuated door lock.
+5V pulses in the signal. It is a quality depends In this door lock there is a motor which can
on the pattern of the knock. When somebody rotate both ways. The lock is connected via a
knocks the door its pattern is compared with lever to this motor. When motor is rotated to a
these saved patterns. If it is matched with any of one side, door lock locks and when motor
the saved patterns it will be considered as a rotated to other side it will unlock.
correct knock and signal is send to lock to open.
Here we used a servo motor for the door lock.
Even though in beginning there are only 3
samples, when times goes on number of samples
is increased up to 20. When door knock occur it
7. Bluetooth module
We used Blue tooth module in order to advance
the security of the door lock. Here a specific
person can unlock the door using his phone. This
facility can be provided as the interest of the
customer. If it is very high security door , door is
unlock when the both knock pattern is correct
and correct phone is near the door. And also it
can be provided as if the specific person forgot
the knock pattern he can unlock the door using
his phone.
Phone has a specific Bluetooth app and it sends
serial data which attach the MAC address of the
Figure 5: Servo motor
phone and receiving the data Bluetooth module
check that MAC address with saved MAC
address if both are the same door will be
Power Supply unlocked.
Power is supplied to the system is by a 12V
power pack. And also here we have used a
backup power plan that will work under a power
cut using a 9V rechargeable battery.
Figure 7: Bluetooth module
Figure 6 Results
Knock detecting door lock is an advance door
Here 12V supply and 9V supply has connected via 2 lock which can identify specific knock pattern
diodes. When 12V supply is present D2 will reverse and figure out it is correct or not. If the knock
biased and no current will be taken from battery. D2 pattern is correct lock will be opened. Specific
will be forward biased only when 12V power supply knock pattern is assigned by the user.
is unavailable and then current will be taken from
battery. There is a metal plate in the door where we
should knock and only the finger should use to
knock because as earlier mentioned in the
methods when the finger touches the metal small
current is grounded through the body and it is
appears as a digital 1 voltage.
8. User can press and hold the assign button and hand. If the knock is made by wood or any
knock the door in whatever pattern he likes and insulator it won’t work properly.
it should be remembered very carefully by all
users who use the door. It is very hard to knock Also user has to make knock on the circuit part,
in specific pattern 100% exactly twice. So we if it is made on wrong place of the door it won’t
have to save same knock pattern 3 times. Those recognize as a knock. There is an advantage of
are three sample patterns.. That knocking pattern this also. Unauthorized person who is trying to
will be saved in the EEPROM. Saved pattern open the door must know the correct place of the
will not be erased even the power is not in the door to know with the correct knock pattern.
system. And we use the concept of learning In the earlier design with knock detection by
algorithm. When the user knocks the door it is sound, these problems were not present.
compare with the saved samples and calculate
the similarity percentage if it is more than 95%
user can open the door. And that knock pattern
will be saved as a sample pattern so when this
implement door lock pattern is adopt to the users
pattern changes. And these changes are not big
differences with the original samples but very
small changes which can’t be figure by ears.
Discussion
We thought about how to develop this door lock
with more features. For farther security here we
can assign more than one knock pattern so every
member who use the door has specific knock
pattern for each of them. And there may have a
main user. Each member should well remember
there knock pattern and they can open the door.
When someone opens the door automatically
SMS is sent to the main user’s mobile phone via
a GSM module informing which user opens the
door at the time. And also we can assign a
password for the user so he have to knock the
door correctly and if it is accepted SMS is sent
to particular user’s mobile phone requesting the
password , user have to give the correct
password to open the door. This will increase the
security level much high.
There are few limitations of this design too.
Touch triggered switch is working by leaking
some current through human body. So to proper
working, knock should be only made by human
9. Acknowledgment
First on foremost, we would like to thank Miss. Ashanthi Maxworth who guided us through doing this
project. Provided important advices, helped us in difficult periods and giving us necessary information.
And motivate us to do the project well.
And honorable thanks to Prof. (Mrs.) Indra Dayawansa for spend her valuable time forguide us to
improve the device and solving its problems. Provide important advices.
We also thank Mr. ArunaUpul Undergraduate at Department of Electronic and Telecommunication
Engineering for helping us with his knowledge to successfully finish our project.
Also an honorable mention goes to our families and friends for their understandings and supports on us in
completing this project. Without helps of the particular that mentioned above, we would face many
difficulties while doing thisAt last but not in least we would like to thank all who helped and motivated
us.
Reference
http://en.wikipedia.org/wiki/Touch_switch
http://www.arduino.cc/en/Main/ArduinoBoard
Mega2560
http://en.wikipedia.org/wiki/Servo_motor