This advanced authentication system is made for identifying candidates and granting access to them. After turning on the system, the project will first initialize GSM. It will then ask the admin to call in order to register the number of admin, after successful registration SMS feedback is given, a user need to enrol fingerprint of candidates. After enrolling fingerprint user can start the system, authorized person can scan fingers then the door opens and an SMS is sent to the admin notifying him about the candidate. And if the user is an un-authorized person and tries to access, the system doesn’t provide access and after a 3rd failed attempt an SMS is sent to the admin notifying him/ her about the same.

Nowadays, world is transforming into digital and wireless system through internet. Today internet has become a basic need of people. Manual and paperwork also has been returned by computerized automation. Automation reduces errors and helps in increasing accuracy and efficiency. The purpose of Canteen Management System is to automate the traditional manual system for better utilization in organization. Nowadays people have limited time of break in canteen and waiting in queue to place order and receive food. So with the help of computerized equipment’s and web based software valuable data can be stored for a longer period with easy accessing, retrieving and update and manipulation of the same. Canteen Management System using web based software and Radio Frequency Identification (RFID) system can be accessible from anywhere using internet. It gives error free accounting, low development cost, secure, reliable and faster service to manage the system. It also has easy data sharing, collaboration, easy Installation and Maintenance. Web based software has more centralized security than cloud based system. The valuable time of user reduces by facilitating payments via cashless payment. The main advantage of wireless and con-tactless RFID card system is not effective in organic manner. So that canteen person focuses on their other activities rather than focusing on the record keeping. This project replaces existing manual system by effective automotive system to provide good functionality and better services for the user.

Petrol pumps are operated manually making fuel dispensing and filling, a time-consuming procedure. This we actualized automated petroleum pump by utilizing GSM and RFID. This framework can enhance the filling procedure so as to keep it simpler, solid and secure. Here non- permitted users and clients with traffic violation records would not be provided with fuel. In this framework, all users have a specific card called petro-card which can be energized by a few focuses. The petrol station is outfitted with a smart card reader which detects the amount in the card along with all the security details and will show it on the LCD. The designated amount of fuel will be dispensed according to the amount entered.

In this paper, we introduce an affordable IoT-based solution aiming to increase COVID-19 indoor safety, covering several relevant aspects: 1) contactless temperature sensing 2) mask detection 3) social distancing check. Contactless temperature sensing subsystem relies on Arduino Uno using infrared sensor or thermal camera, while mask detection and social distancing check are performed by leveraging computer vision techniques on camera-equipped Raspberry Pi.

Design and development of Head motion controlled wheelchair has been achieved using accelerometer sensors and PIC microcontroller. The system is implemented practically and works well. The ACCELEROMETER senses the change in direction of head and accordingly the signal is given to microcontroller.

We know that, the automated Motion Sensor system and the Temperature control systems are getting more valuable in today’s life style. This is more easy and comfortable for user to ensure security of private or corporate area. It is also very cost efficient. Now a  days security  reason is a  burning question. There  are various  types of home  security systems  are  available.  But  we  wanted  to  design  a  automated  security  system  with  digital interface. So we have taken Microcontroller base fully automated and  digital equipment. It can be  used attached with thousands of security systems. The application is more than its building cost and the operating cost and minimum operational error rate is very interesting.

Biometric student attendance system increases the efficiency of the process of taking student attendance. This paper presents a simple and portable approach to student attendance in the form of an Internet of Things (IOT) based system that records the attendance using fingerprint based biometric scanner and stores them securely over cloud. This system aims to automate the cumbersome process of manually taking and storing student attendance records. It will also prevent proxy attendance, thus increasing the reliability of attendance records. The records are securely stored and can be reliably retrieved whenever required by the teacher.

The issue of vehicle hijacking or car theft due to easy access to vehicle’s functional system can be reduced by using a biometric system. The starting of vehicle’s engine as the necessity of protection and access restriction in many luxurious assets is now very important. Biometric systems have in a long time served as a strong security system in many different applications and it will be implemented in automobile industry. Biometric system is a technological system that uses information about a person to identify such the person. It relies on specific data about unique biological trait in order to work effectively. This system involves running data through algorithms for a particular result, usually related to a positive identification of a user or other individuals. The signals are generated by the arduino to appropriate module circuit

Finger print based security system can be used at many places like Industries, Offices, and Colleges or even at our home. This project is a fine combination of “Biometrics technology” and “Embedded system technology”. Fingerprint sensor is the main part of this system. It makes use of Biometric sensor to detect fingerprint. It is also called as Biometric sensor. Fingerprint sensor uses various types of techniques like ultrasonic method, optical method or thermal technique. In this project we have used optical fingerprint sensor. Main blocks of this project are Microcontroller, Fingerprint module, Buzzer, Relay, Keypad, LCD display and Motor. User has to place his/her finger on the optical sensor part of fingerprint module. We have seen Password based security system RFID based security system. The main feature or specialty of fingerprint is that it is unique. It gives this project the high level security than other security systems. Person recognition using the Fingerprint identification is used since a long time. Most common example is use in the criminal cases.

This paper presents the description of Coin Operated Water Dispenser. The water dispensing machine dispenses water on the detection of the right coin (correct denomination).The dispenser is designed using At mega controller. It can be used in public places like Roads, Railway stations, shopping Malls etc. It can prove to be of great use and comfort for people.

The microcontroller on encountering high alcohol signal from the alcohol sensor displays alcohol detection note on LCD screen and also stops the dc motor to demonstrate as engine locking. The system needs a push button to start the engine. If alcohol is detected at the time of starting the engine the engine does not start at all. If alcohol is detected after engine starting, the system locks the engine at that time. This Project presents an innovative way of protecting automobiles from drunken drivers for safeguarding them by using IOT (INTERNET OF THINGS). The system permits an alert to the owner on his mobile phone or mail as a short message (SMS) at his request.

In this project, we have designed a simple Hand Gesture Controlled Robot using Arduino. This Hand Gesture Controlled Robot is based on Arduino Nano, MPU6050, RF Transmitter-Receiver Pair and L293D Motor Driver.

Even though the title says it as a Hand Gestured Controlled Robot, technically this robot is controlled by the tilt of the hand.

This research Project is to develop fingerprint Based Exam Hall Authentication systems that assist in the elimination of examination impersonation. Up till now, the Namibian Universities (particularly IUM) Examination control board is not using fingerprint as mode of identification, this has resulted in people sitting for examinations for others who collect the result at the end. With the adoption of fingerprint biometric, this will be eliminated as fingerprint identification will also be employed during collection of results and certificates. This target can be mainly decomposed into image pre-processing, feature extraction and feature match. For each sub-task, some classical and up-to-date methods in literatures are analysed. Based on the analysis, an integrated solution for fingerprint recognition is developed for demonstration. This demonstration program is coded using C programming language for the program, some optimization at coding level and algorithm level are proposed to improve the performance of this fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with what the available literatures say. Main objective is to eliminate any form impersonation during exam by employing a more secured means of fingerprint biometrics

An Automated billing system using RFID technology for product identification and billing.Will prove extremely useful and functional in high intensity urban and suburban super/hyper markets.Anti-theft security as an added bonus. By automation of the Billing system a customer is freed from the stress of waiting on a long line of queue to get to a billing counter , thus avoiding all the RUSH,HUSTLE,WAITING and STRESSING. “The main tensions u want to avoid in shopping “. The system is designed to bill a product when added to the basket/trolley and de-bill it on removal & also displaying the accumulated amount thus far.

Third eye for blinds is an innovation which helps the blinds people to navigate with speed and confidence by detecting the nearby obstacles using the help of ultrasonic waves and notify them with buzzer sound or vibration. They only need to wear this device as a band or cloth.

According to WHO 39 million peoples are estimated as blinds worldwide. They are suffering a lot of harder ship in there daily life. The affected ones have been using the traditional white cane for many years which although being effective, still has a lot of disadvantages. Another way is, having a pet animal such as a dog, but it is really expensive. So the aim of the project is to develop a cheap and more efficient way to help visually impaired to navigate with greater comfort, speed and confidence.

The main goal of this project is to design and implement a bank locker security system based on Finger print and OTP technology. This can be organized in bank, offices and homes. In this system only the authenticate person recover the documents or money from the lockers. In this security system fingerprint and OTP is used. In this system first person enroll user name and password and mobile number. If user name and password matches then Finger of person will detect and store with ID. If the ID gets matches. Then four digit code will be sent on authorized person mobile to unlock. So biometric and Bluetooth security is more advantages than other system. This system can also create a log containing check in and checkout of each user along with basic information.

As today fingerprint based system provides high accuracy in terms of security. Also there is a high demand for integration of fingerprint matching techniques for making secure authentication systems. This research paper introduces this door locker system which integrates fingerprint reader in it so as to provide a good level of security. The main goal of fingerprint door locker with image capture project is to provide security with no manual security flaws. It is easy to use and requires no special training or equipment. This system needs fingerprint authentication while operating the door locker as well as captures the images of person who is handling the locker and saves it in memory card which can be later viewed with card reader to the authorized person. The functionality of system is that it will scan the fingerprint and if it matches with registered fingerprint the locker opens and also captures the image of user. The system uses an atmega 328 microcontroller for this purpose. The microcontroller processes data sent by the access. Controller operates the motors to open the locker door on encountering registered valid users. If the fingerprint does not match with register fingerprint of user, it will show the error message as unauthorized user and immediately saves the picture in memory card. So, the system is very beneficial for stopping the robbery by providing security

Keeping an in depth tab of recent folks or folks on chair with bound health conditions for his or her health and safety is a very important task. With maturity, weak bones and weakness because of alternative health connected problems could lead to will increase risk of falling. A supervisor might not continually be on the market with them and if correct assistance is not provided at the correct time it should cause larger health considerations which will need extra resources for treatment. For this purpose we’ve projected a wise IOT Fall Detection System exploitation acceptable sensors that square measure integrated facilitate to assist} report these incidents to assist avail help at the correct time to forestall additional injury to health. The same system uses sensors like associate degree measuring system to live the speed of the person, a rotating mechanism to live the person’s orientation so as to live their stability, a load sensing element once the system is employed by an individual employing a chair to live their weight, a Wi-Fi module and a microcontroller that sends the general readings to alert the involved those that shall give with the right suggests that to assist the person in want. The microcontroller receives all the info from the sensors and perpetually transmits and monitors the acceleration and also the orientation of the person. Any fast abrupt modification within the system which will result from a fall is taken into account as a ‘fall’ and is reported . a serious concern would be that not all fast movement may end up from a fall and be thought of as a matter of concern. To avoid this warning a nap button is provided to snooze the system. This button will be ironed before a definite time say 15-30 seconds to prevent the system from causation the alert, thus avoiding any confusion and panic. this method will be mounted to the person’s chair or will be created compact to be created into a wearable device which will be worn on the hand.

Utilization of power turns to be necessary for every work in today’s world. To comfort our daily routines the devices are used in large numbers. The benefits of roadway energy harvesting systems are potentially excellent. Energy harvesting is defined as capturing minute amounts of energy from one or more of the surrounding energy resources. To generate the power through footsteps as a source of renewable energy sources that we can obtain while walking on a certain arrangement like stepping foot on piezoelectric tiles. an advanced footstep power generation system proposed here uses the piezoelectric sensors. To generate a voltage from footstep the piezo sensors are mounted below the platform. To generate maximum output voltage the sensors are placed in such an arrangement. This is then forwarded to our monitoring circuitry. The circuit is the microcontroller based monitoring circuit that allows users to monitor the charges and voltage a connected battery to it and this power source has many applications. It also displays the charge generated by our footstep and displays it on an LCD. Also, it consists of a USB mobile phone charging point where a user may connect cables to charge the mobile phone from the battery charge. The current is distributed using (radio-frequency identification) RFID cards so that only an authorized person can use the generator for charging. Thus we charge a battery using power from footsteps, display it on LCD using a microcontroller circuit and allow for mobile charging through the setup. Our project model cost is effective and easy to implement and also it is green and not harmful to the environment.

This project use four sensors to detect the Temperature, Light, Humidity and Soil moisture in the Greenhouse. Temperature Sensor is used to detect the temperature inside the greenhouse. Reading from the sensor is sent to the microcontroller.

There are high requirements to develop artificial arms for many inhuman situations where human interactions are presenting challenges or not possible (i.e. impossible situations). This paper presents information, methods, and techniques which are essential for building a robotic arm controlled by the movements of normal human arm (Gesture Robotic Arm) whose data is acquiring by using the sensor fusion technique of Gyroscope, Accelerometers and Magneto sensors (MEMS sensors). For appropriate control mechanism and for reducing the noise amount which is coming in from the sensors, a proper averaging algorithm is used for smoothening the accelerometer output. The development of this arm is based on the Arduino platform; in which all are interfaced with each other by using Bluetooth wireless communication. The prototype of robotic arm of this paper has been implemented practically. The developed robotic arm of this paper is tracked the movement of human arm with a good accuracy. Implementation of this arm could be expected for overcoming the problems such as picking or placing object that are away from the users or could be used in medical applications.

User Based Device control using fingerprint sensing. We come across areas where we need to switch no device for a particular user as soon as he enters. The device could be his Pc, fan, lights etc. For this purpose we suggest a fingerprint based device switcher project. The system switches on device for a particular user automatically on sensing him through his fingerprint scan. For this we use a fingerprint scanner interfaced to a microcontroller based circuit. As soon as a person enters he/she is allowed to scan his/her finger on the scanner. On scanning the data is sent to the microcontroller, based on this data the scanned copy is now verified for authentication. If the user is verified the microcontroller switches on a device (light) to indicate as the users verification. A single device can be used for multiple functions and this rectifies the problem of having different access keys. The main principle of this device however is the way a single person being able to control all the different accessing switches with different fingerprints reducing the redundancy of having multiple devices or physical switches.

Gas leakage tragedies and accidents have led to heavy losses over the years. So it is very important to detect any gas leakage and prevent any accidents. We here propose to build the system using a MQ6 gas detection sensor and interface it with 8051 family microcontroller along with GSM modem. Our system uses the gas sensor to detect any gas leakages. The signal from gas sensor is applied to microcontroller as soon as it encounters a gas leakage. And we also used the Fire sensor to detect the fire level, Temperature sensor LM35 and LDR also used. The microcontroller processes this signal and sends out a signal to the GSM modem with required message details. The GSM modem now sends out an alerting SMS to the authorized people so that they may handle the issue.

This idea proposes and analyse a system which is used for air and sound pollution monitoring. The system is fully Internet of Things (IOT) based and highly desirable in field of pollution control. In this system we can detect the level of pollution (Air or Sound) time by time. The article explains the different units such as hardware and software used in the proposed system and also explains the modelling and working of the basic components used in the proposed system such that IOT and its working, Microcontroller(Arduino Uno R3) and its architecture, Gas sensor and its features, Sound sensors and its specifications and ESP8266 Wi-Fi Model.

The body mass index (BMI) is a measure of relative weight based on an individual’s mass and height. It can approximately calculate the total fat present in the body of a person. In the nineteenth century, a Belgian statistician named Adolphe Quetelet came up with the Quetelet Index of Obesity, which measured obesity by dividing a person’s weight (in kilograms) by the square of his or her height (in inches). While the formula previously called the Quetelet Index for BMI dates to the beginning of the 19th century, the new term “body mass index” for the ratio and its popularity date to a paper published in the July edition of 1972 in the Journal of Chronic Diseases by Ancel Keys, which found the BMI to be the best proxy for body fat percentage among ratios of weight and height. It is a widely used method compared to other body fat detection techniques due to its inexpensiveness and ease of calculating health risks related to obesity.

In the e-passport prototype this RFID system will enable details of a passport holder to be stored in a portable device called and RFID card. This RFID card will be read by an RFID reader and processed in order to identify the holder of this e-passport. It is a microcontroller board based on the ATmega 328P

A smart master card approach that integrates all these systems together and allows for a single master card and a centralized system for all transportation mediums. To demonstrate this concept we use three RFID scanners to demonstrate as bus train and metro train smart card scanners respectively. Now we use three smart cards that work particularly on each of the systems viz one rfid card for bus, one for train and one for metro respectively. 

To secure and guard our house in our absence, we propose the IOT based Anti-theft detection and alert System using Raspberry Pi. This system monitors the entire floor for movement. One single step anywhere on the floor is tracked and user is alarmed through mail over IOT. In this system, secure flooring tile connected with IOT, when the system is to be turned on, then whoever comes inside the house it passes the information over IOT. Whenever the thief enters in the house, and steps on the floor immediately it is sensed by the sensor which passes on the signal to raspberry pi controller. The controller in turn processes it to be valid signal and then moves the camera to the area where movement was detected and then transmits it over the Internet for the home owner to check the image.

Technology is a never ending process. To be able to design a product using the current technology that will be beneficial to the lives of others is a huge contribution to the community. Voice Based water dispenser Automation System using controller is the project which will be very useful for old age people and disabled people, basically for one’s who cannot perform basic activities efficiently. It is the idea which corresponds to the new area of automation and technology. This paper presents the design and implementation of a low cost but yet flexible and secure voice based hot and cold water dispenser system. The communication between the cell phone and the raspberry pi board is wireless. Voice command sends from mobile to the raspberry pi, to understand whether the water required by the person should be hot or cold. The microcontroller processes the information to the IR sensor to determine where the glass is placed below the pipe or not. The system uses IR sensors to detect the presence of water glass and then the IR sensor sends the signal to the microcontroller about the presence of the glass, accordingly the motor starts and the water flows though the pipes from the particular jar(hot/cold).

This project describes the design and implementation of a wireless sensor network for Flood detection and monitoring. The sensor network was deployed in a commercial windmill or near the sea shore. The sensor node was developed using off-the-shelf components and consists of sensors like wind speed sensor, Humidity sensor, Accelerometer sensor, Temperature sensor and Raspberry pi powered with IOT. Real- time data enabled the operators to characterize the operating parameters at the seashore and also to respond immediately to any changes in the controlled parameters.

This paper presents the automatic document reader for visually impaired people, developed on Raspberry Pi. It uses the Optical character recognition technology for the identification of the printed characters using image sensing devices and computer programming. It converts images of typed, handwritten, or printed text into machine encoded text. In this research these images are converted into the audio output (Speech) through the use of OCR and Text-to-speech synthesis. The conversion of printed document into text files is done using Raspberry Pi which again uses Tesseract library and Python programming. The text files are processed by OpenCV library & python programming language and audio output is achieved.

With the combination of sensors such as pulse rate sensor, temperature sensor, accelerometer, and respiration sensor, a Raspberry Pi can be transformed into a mini-clinic. These systems are being used in many parts of the world. Microcontroller units (MCU) are being used as the main controller of the systems but they do not support parallel data handling.

Using the Wi-Fi or IR modules might overcome the range limitation. Proposed an IoT based patient monitoring system. Raspberry Pi is the main logic unit of the system.

The system detects abnormalities in the heart. The respiration rate was monitored by using a respirator and accelerometer. The system used various gas sensors to provide the health monitoring facility.

Voice Based Home Automation System using Raspberry Pi is the project which will be very useful for old age people and disabled people, basically for one’s who cannot perform basic activities efficiently. It is the idea which corresponds to the new era of automation and technology. The main aim of the home automation system is to make life easier. Mobile devices are very common among everyone due to its user friendly interface and portability features. In this project we aim to control electrical home appliances by android voice commands using Wi-Fi as communication protocol between Raspberry Pi and Android device. Raspberry Pi 3 becomes a better option for home automation via internet due to its feature of inbuilt Wi-Fi and Bluetooth.

According to the survey most of the accident are occurred because of the dunk and drive cases, in order to put a full stop a system using raspberry pi with alcohol detection sensor and ignition which is presented with the help of the DC Motor is implemented using Network communication which will automatically stop the ignition if the alcohol is detected and also will inform to the care taker with the help of the network using a web page which can be accessed from Wide Area Network (WAN). In this proposed system, automatic alcohol detection system which is also connected to the server from where the status of the person will be known at the same time if the alcohol is detected automatically the ignition will be off.

This paper proposes the Smart Surveillance System using Raspberry Pi and Image Processing. This system will serve as smart security module for monitoring. Traditional surveillance systems only records the activities based on motion, but this system serves the purpose of facial recognition so as to reduce the error caused due to motion detection .Raspberry Pi camera module is used to capture images once the motion is detected by the PIR Sensor. This system will monitor when motion detected and checks for the faces in the image captured and with the help of face recognition alerts if the face detected is not stored in the database.

Medication reminder solutions have become a matter of concern in health-care research, as advancements in treatments and medication may be offset by patients’ low attention to medication schedule. Medication mix-ups are extremely dangerous. Most of times patients may forget to take the medicines at proper time as per the specification in the prescription which may cause in late recovery from the disease/illness or some life-threatening mistakes. So, it is necessary to take proper medicines in proper quantity at proper time. In this context, an efficient reminder system should empower patients to accurately follow the prescribed medication program. This system will remind their user to take proper medicines in proper quantity at proper time by automatically setting the reminders in the system. These reminders will have to set up by users or their care takers as per the prescription. This reminder will remind their user patient that now it’s time to take the medicine with inputs provided as per user

We here propose a fully automated temperature scanner and entry provider system. It is a multipurpose system that has a wide range of applications. The system makes use of a contactless temperature scanner and a mask monitor. The scanner is connected directly with a human barrier to bar entry if high temperature or no mask is detected.

Any person will not be provided entry without temperature and mask scan. Only person having both conditions is instantly allowed inside. The system uses temperature sensor and camera connected with a raspberry pi system to control the entire operation.

The camera is used to scan for mask and temperature sensor for forehead temperature. The raspberry processes the sensor inputs and decides weather the person is to be allowed.

At present time, drowsy driving has become one of the major issues of the traffic collision. According to statistics, a large number of road accidents occur due to drowsy driving which results in severe injuries and deaths. For this reason, various studies were done in designing systems that can examine the driver fatigue and alert him beforehand, thus preventing him to fall asleep behind the wheel and cause an accident. Some traditional approaches used vehicle-based measures to design their system, however, such measurements are highly influenced by the structure of the road, type of vehicle and the driving skill. Other approaches used psychological measures for their system that tend to provide better accuracy in monitoring the drowsiness of the driver. However, such techniques are usually intrusive as electrodes are required to be placed on the head and body. Furthermore, there are few existing researches in which subjective measurements are used as the input for the system, but, such methods can distract the driver and lead to an ambiguous result. In this paper, we proposed a system that is absolutely non-intrusive and real-time. Our proposed system used the eye closure ratio as input parameter to detect the drowsiness of the driver. If the eye closure ratio deteriorates from the standard ratio, the driver is alerted with the help of a buzzer. For our system, a Pi camera is used to capture the images of the driver’s eye and the entire system is incorporated using Raspberry-Pi.

Our paper deals with a security system that lets the user to see a visitor while main office door is locked. If the user is in the middle of the meeting in a conference room and having a visitor at the door, this system will send a notification to mobile or PC to unlock the front door using a Web browser. If the door bell has intercom facility, the user can talk to the visitor when the bell rings. We have used Raspberry Pi to implement our paper the smart lock system.

Face Recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose. In today’s tutorial, we will learn how to build the Face Recognition Door Lock System using Raspberry Pi. This project consists of three phases:

• Data Gathering
• Training the Recognizer
• Face Recognition

It’s very difficult for mute people to convey their message to regular people. Since regular people are not trained on hand sign language, the communication becomes very difficult. In emergency or other times when a mute person travelling or among new people communication with nearby people or conveying a message becomes very difficult. Here we propose a smart speaking system that helps mute people in conveying their message to regular people using hand motions and gestures. The system makes use of a hand motion reading system equipped with motion and flex sensors along with a speaker unit. This system is powered by a battery powered circuitry to run it. A raspberry pi is used for processing the data and operating the system. The system consists of around 8 stored messages, “where is the toilet/washroom” and so on that help mute people convey basic messages. The system reads persons’ hand motions for different variations of hand movement. Thus we have a fully functional smart speaking system to help mute people communicate with regular people using a simple wearable system.

Drunk and drive is a leading cause of road accidents. Detecting drunken driving requires vehicles and manually checking or scanning drivers by using breath analysers. In this project system uses alcohol sensor with raspberry pi along with Twilio to send SMS notification and LCD display and also motor to demonstrate as vehicle motor. This configures admin numbers into the system. And if the system detects driver is drunk above permissible limit, the sensor inputs trigger the processor about the issue. Also, the system stops the motor to demonstrate as engine locking the vehicle. Thus, the system detects and prevents drunk and driving accidents automatically.

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. The objective of the proposed system is to alert the remote user while the fire accidents occur. This system can be installed at any remote premise which has threat of fire accidents. Using this system we can detect the fire by camera. So sensors are not required to detect fire. The Raspberry Pi controller processes the camera input and detects fire using heat signatures. By using image processing method, the report is automatically generated and sends to the person immediately after the fire is detected in any part of the frame using Wi-Fi/GSM. On detecting fire, the system will go into emergency mode. The major advantages in this method are: sending the information to the person at any time, any place and remote monitoring for immediate actions.

A vehicle key is the only way to start the car or to provide ignition to the engine. The face recognition based car ignition system literally replaces the car ignition by replacing the key with specific user face. While dealing with the topic the objective arises is the achievement of luxurious features and the safety concern, which can be achieved by means of the automotive electronics. In this paper, we are proposing facial recognition system by embedding face detection and face tracking system algorithm found in MATLAB with use of Raspberry pi B. The options of facial recognition and detection have been taken into consideration just because it is widely used in the interactive user interface and plays a crucial role in computer vision. There is a strong need for robust and efficient face detection algorithm

A major problem today for car owners is that they are in constant fear of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In this paper, a low-cost extendable framework for smart car security system is proposed, which consists of a FDS (Face Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global System for Mobile Communications) module and a control platform. The system described in this paper automatically take photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. The face detection subsystem bases on optimized PCA algorithm and can detect faces in cars. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. This system prototype is built on Raspberry pi, controls all the processes. The owner is made able to perform car stopping through the message from his mobile. The GPS module in the car detects the location of the car. So by this system the identification of the thief and the location of the car are simply smarter and cheaper than traditional one.

Coma is a state of unconsciousness where the patient fails to respond. These patients need utmost care and 24*7 observations. This paper presents a continuous monitoring and recording of patient data without human intervention. If there is any sudden changes occur in the normal range of body parameters such as body temp falls or rise, blood pressure (B. P.) increases or decreases causing high or low B.P. where both are not stable conditions for better health, then it has facility to automatically alert the medical person. The movement sensor detects the patient movement and also generates an alert message to the medical person. As comatose losses their sensation for urination, medical person needs to continuously monitor urine output, thus we are using ultrasonic sensor to check on urine level. Medical person can keep the track of patient using login to the system. The software IoT API we are using thingspeak.

Women safety is the biggest challenge to India. There are many areas in which women are not feeling safe. This should be changed as much soon as possible. Technology changes and improves day by day to change the way human are living. So this paper focuses on updating technology framework to make stronger women safety mechanism. In this paper, we introduce a new security mechanism to safeguard women during abnormal activities. New security mechanism has been proposed based on the patrolling robot using the Raspberry Pi. Here night vision camera can be used for securing any premises. To improve the accuracy of the classifier, various machine learning models are used. Algorithms like Boosting, Bagging, Stacking and Enhanced reweight mechanism in Ensemble are used. Confusion matrix with individual classifier accuracy is considered for evaluating results. The results show that the proposed method performs well compared to existing algorithms.

Computer Vision is the ability of computer to see. Open CV is a multiplatform software system and supports different programming language interfaces. Open CV based robots are intelligent robots that takes visual data, process on it and provide appropriate output. A Robot is based on open CV and designed on Raspberry Pi which is used for object detection and tracking depend on the object’s colour, size and shape. A robot can detect only one object a time. Robotic vision deals with image processing. In this project robot can detect the object and rotate as left/right direction and then moves forward and backwards depend on object’s movement. We use Python coding to identify the object with Open CV and ultrasonic sensor to maintain the distance between object and robot to avoid an obstacle. Pi camera located on robot chassis is used to capture the image.

Recognizing vehicle number plates is a difficult but much needed system. This is very useful for automating toll booths, automated signal breakers identification and finding out traffic rule breakers. Here we propose a Raspberry Pi based vehicle number plate recognition system that automatically recognizes vehicle number plates using image processing. The system uses a camera along with LCD display circuit interfaced to a Raspberry pi. The system constantly processes incoming camera footage to detect any trace of number plates. On sensing a number plate in front of the camera, it processes the camera input, extracts the number plate part from the image. Processes the extracted image using OCR and extracts the number plate number from it. The system then displays the extracted number on an LCD display. Thus we put forward a fully functional vehicle number plate recognition system using Raspberry Pi.

This paper proposes an advanced system for process management via a credit card sized single board computer called raspberry pi based multi parameter monitoring hardware system designed using RS232 and microcontroller that measures and controls various global parameters. The system comprises of a single master and multiple slaves with wireless mode of communication and a raspberry pi system that can either operate on windows or Linux operating system. The main aim of the project is to capture the wildlife using ultrasonic sensor and raspberry pi microcontroller. Getting wildlife footage is a difficult task. Cameramen need to wait for hours or even days without moving to get desired footage. Here we propose an automated system with a uv activated recording camera that starts captures only when animal is detected. This has a lot of advantages.