Sustav je baziran na RaspberryPi miniračunalu i Arduino mikorkontrolerima. RaspberryPi je središte sustava na kojem je instalirana baza podataka u koju su spremljeni svi podatci koji dolaze sa senzora. Isto tako, služi kao server tih podataka prema klijentu i time prema korisniku. Korisnici nemaju direktni pristup podatcima, ali im mogu pristupiti preko API-ja koji komunicira s bazom podataka, pa su na taj način podatci zaštićeni od slučajnoga ili namjernoga uništavanja. Isto tako, postoje web- aplikacija i iOS aplikacija putem kojih korisnici na vrlo jednostavan način mogu imati uvid u atmosferske uvjete u prostorijama u kojima imaju postavljene senzore, imaju mogućnost uključivanja i isključivanja svjetla te vremensku prognozu.
In  authors used the raspberrypi and its projection system .They can create system using Raspberrypi. In this system they can use NETIO application for controlling of the system. In  authors used Raspberry pi2 model can be used. The system makes the wired projector to wireless projector. The android application is created in this system. In  authors explain the process to access the computers with the help of android mobile phones. This process is based on VNC (virtual network computing) technique. In  author explains the use of Remote Desktop and Terminal Services interchangeably. In this paper, Remote Desktop Protocol (RDP) is used for remote desktop connections. In  author proposes a new architecture for remote control and access of android mobile devices, which allows sharing of displays between android mobile phone and computers. This should be done within Wi-Fi range irrespective of various platforms. In  authors explains about the Android based remote desktop client. It is a remote controlsystem which allows you to view and interact with one computer (known as “server”) to another computer or cellular phones (Android OS) anywhere on the intranet. In  authors implemented a new design for remote control of Android mobile devices. They also explain the VNC protocol and working of that.
RFID reader:RFID frameworks can be arranged by the sort of tagand reader. A Passive Reader Active Tag (PRAT)framework has a detached reader which just gets radiosigns from active tags (battery worked, transmit as it. The gathering scope of a PRAT framework reader canbe balanced from 1–2,000 feet (0–600 m), permittingadaptability in applications, for example, resourcesecurity and supervision. An Active Reader PassiveTag (ARPT) framework has a active reader, whichtransmits investigative specialist signals furthermoregets validation answers from uninvolved labels. AnActive Reader Active Tag (ARAT) framework utilizesactive tags awoken with an investigator motion fromthe active reader. A variety of this framework couldlikewise utilize a Battery-Assisted Passive (BAP) labelwhich acts like a latent tag yet has a little battery tocontrol the label's arrival reporting signal. Repairedreaders are set to make a particular cross examinationzone which can be firmly controlled. This permits anexceedingly characterized perusing territory for whenlabels go all through the cross examination zone.Versatile readers might be hand-held or mounted ontrucks or vehicles. Detail
Grain storage is a vital component in the economy and the society. The quality and safety of grain storage are related to the hundreds of millions of people. In the process of grain storage, temperature, humidity, fire and co2 are major ecological factors that can affect the grain quality. Therefore, the parameters of temperature, humidity, fire and co2 must be in accurate and real-time monitoring by supervisory systems in large granaries. The sensors collect the information from environment, the collected signals through the analogy to digital conversions. These conversions are sent to micro controller unit. This micro controller unit is connected to LCD to display the values of temperature, humidity, fire and co2 values and using GSM to achieve the system's remote control, it greatly improves the flexibility and scalability of the warehouse management which sends available data to grain depot manager (Database management) in time and filters invalid data on the spot.
2.1 Embedded Driver-Assistance System Using Multiple Sensors for Safe Overtaking Maneuver A driver-assistance system that uses a low-cost embedded digital signal processor, with the overall system installed in a commercial vehicle. Based on driving information supplied by multiple sensors, such as a real-time vision system, a vehicle-to- vehicle communication system, and in-vehicle sensors, the proposed system can facilitate decision making and the performing of driving tasks while executing overtaking maneuvers. This paper developed a data fusion stage based on a collision warning algorithm in which the overtaken vehicle and other vehicles in the neighbouring lane are accounted for to avoid collisions. The system employs fuzzy control in the steering and speed automation to emulate the driving tasks performed by humans.
The system is composed of the RaspberryPi board and the Raspbian camera to capture the video. The RaspberryPi board is the central module of the whole embedded image capturing and processing system with Broadcom BCM2835 system-on-chip multimedia processor at 700MHz in which CPU core is a 32 bit ARM1176JZF-S RISC processor. Even though the RaspberryPi is a computer it does not have a hard drive like traditional computers, instead it relies on the SD card for starting up and storing of information. A 16GB SD card is used in this system. The Raspbian camera module is a 5MP CMOS camera with a fixed focus lens that is capable of capturing still images as well as high definition video. The power supply to the board is 5V and is connected via a micro USB connector. The RaspberryPi board is connected to the Raspbian camera through the dedicated CSI interface. The system block diagram is shown in Figure-1.
The design of the biometric access system using facial recognition was tested and the result showed that it worked perfectly. The facial system controlled the opening and the closing of the sliding door system. The ability to be able to control the access of the door to a building via biometric facial access system is of importance in technology, industry and Engineering to ensure secured access door system. Facial recognition system is an efficient security technology that promotes the use of identification in an establishment that cannot be manipulated. This system is efficient because it promotes the use of identification system as a security measure. This system could be recommended for homes, schools and hotels.
Arduino is a small microcontroller board with a USB plug to connect with the RaspberryPi that can be wired up to external electronics, such as motors, relays, light sensors, loudspeakers, microphones, etc. They can either be powered through the USB connection from the computer or from a 9V battery. They can be controlled from the computer or programmed by the computer and then disconnected and allowed to work independently. Arduino is an open-source design for a microcontroller interface .In this Project Arduino is interfaced with RaspberryPi in order to perform multiple tasks at a time.
2 Additional to the rising recognition of a proficient home security system, the utilization of continuous alert service is essential for the users (May 2012). Therefore, this project is developed using an RaspberryPi 2 based image capturing alarm system. The intruder is detected using passive infrared (PIR) sensor's infrared (IR) radiation. The changes in radiation field are checked by the sensor. At the point when an intrusion happens, the presence of an intruder will be detected by the developed system and an image of an intruder will be captured simultaneously. From there on, an email will be sent to the user with the captured image as an attachment. Meanwhile, an LED will be turned on simultaneously in this developed system. The LED will be a replacement for house lamp due to the high cost of the lamp. Not only that, this system will also trigger an alarm sound to alert the house owner or surround people using a buzzer. As a conclude, the system will assist the house owner to make a report to authorized party with the intruder’s image as an evidence.
We come to know that there are wide range of methods such as biometric, RFID based etc. which are time consuming and non-efficient. So to overcome this above system is the better and reliable solution from every perceptive of time and security. Thus we have achieved to develop a reliable and efficient attendance system to implement an image processing algorithm to detect faces in classroom and to recognize the faces accurately to mark the attendance.
In the bank security system, night time surveillance becomes very difficult by using manual observation. Thissystem can replace manual observation and notifies the security officials. The system can also be used in wide areas like industries and home security services. A direct application of the system i.e., surveillance with notification is explained in the application section.we are using just few features of RaspberryPi. RaspberryPi with its wide features can be used for multi purposes and have much scope for future work. This work can be extended in future to discover the people’s identity under the surveillance or else it notifies the user as a suspect. This can be further extended to autonomous robotic surveillance also
necessary to constantly monitor the patient’s physiological parameters. This system presents a monitoring system that has the capability to monitor physiological parameters from patient body at every 10 seconds. A sensor node has attached on patient body to collect all the signals from the wireless sensors and sends them to the BSN care node. The attached sensors on patient’s body form a wireless body sensor network (WBSN) and they are able to sense the heart rate, Temperature of surrounding. This system is mainly to detect abnormal conditions in human body and abnormal physiological parameters. The main advantage of this system in comparison to previous systems is to reduce the energy consumption to prolong the network lifetime, speed up and extend the communication coverage to increase patient quality of life.
Abstract: The intent of this paper is to design an efficient and effective a secured voting system which utilizes the RDID technology along with the electronic voting machine to further improve the election process and to avoid fake voting. The system we have developed RFID reader, Raspberrypi , Screen. The voter comes to the polling booth to exercise his franchise, he is directed to scan his voter identity card on a RFID reader. The RFID reader senses the voter ID and sends this information to the Raspberrypi. After receiving the voter ID the Raspberrypi checks whether the received voter ID belongs to the particular polling booth or not. If the voter ID belongs to the particular booth the raspberrypi finds if the voter has voted or not. if not, then it the makes the voting machine ready for voting. This process continues for each voter. After implementing the components on the circuit board and programming the SD card, the system worked as expected.
ABSTRACT: Healthcare and wellness management is one of the most promising applications of information technology. A health care monitoring system is necessary to constantly monitor patient’s physiological parameters. The tele-medical system focuses on the measurement and evaluation of vital parameters e.g. temperature, electrocardiogram (ECG), heart rate variability, fall detection etc. This project presents a monitoring system that has the capability to detect the specific abnormality of cardiac function. The system can analyse the signal, extract features from it, detect the normal or abnormal conditions like arrhythmia and with the help of RaspberryPi, the result of the ECG signals is sent to the web server. The main advantage of this system is the result can be viewed at any time at any place.The proposed system uses MIT-BIH database of ECG signals, does processing on QRS part, with the help of MATLAB signal processing software. Appropriate algorithms are used for better accuracy. The result, normal ECG or abnormal ECG like Arrhythmia is then displayed on the web server with the help of RaspberryPi. In this way, Internet of Things (IoT) concepts are used to support remote health monitoring services.
In this system, Raspberrypi internally have WI-FI module. By using IoT technology, industrial motors can operate through UBIDOTS website by owner. No other person can access the devices without any permission of owner. Here PIR sensor can be fixed to the locker, if anyone takes money from locker. This update will be uploaded in UBIDOTS with date and time. So owner can easily find out the account errors and also email alert will send to owner.
In this proposed system, Fingerprint recognition is used along with key locking system. This compares the fingerprint with the predefined fingerprints in the database. If the fingerprint does not match, then the camera turns ON and sends the information using theft app to the owner. In this we proposed the THEFT APP through which we can identify the image of the person. The location of the vehicle can be tracked using GPS using the applications.
ABSTRACT: In this busy world one cannot give his full time to observe the single activity so it is essentially needed that we can do our different routine work and with use of modern technology we can monitor various activities from different places without being actually present there. This project deals with the design and implementation of Smart monitoring system using Raspberrypi and sensors such as soil moisture sensor, camera module, motion detectors, temperature and humidity sensor for wide variety of applications ranging from security to event control. There are various surveillance systems such as camera, CCTV etc. In such systems, the person who is stationary and located in that particular area can only view what is happening in that place , but here even if the user is moving from one place to another, he can know what is happening in that particular place. This review paper provides a description of raspberrypi along with other technologies such as Arduino, Beaglebone and Pcduino and their comparison is summarized in a tabular form.
ABSTRACT: Public distribution system i.e. rationing distribution is one of the issues that involves corruption and illegal smuggling of goods. In this paper we propose the concept of replacing manual work/job causing these irregularities in public distribution system (rationing distribution system in India) by automated system which can be installed at the ration shop with ease. In this automated system, we replace the conventional ration card by ATM card. Proposed system also uses ADHAR No (UID) for user’s authentication. Using such a system, Government would have all required control/monitoring over the transactions at ration shop. To involve Government in the process we proposed connecting the system at ration shop to a central database (provided by Govt.) via GSM module (SIM300D) and RS232.
graphics processing units along with the audio and communications hardware, are built onto that single component hidden beneath the 256 MB memory chip at the centre of the board. The ARM-based BCM2835 is the secret of how the RaspberryPi is able to operate on just the 5V 1A power supply provided by the onboard micro-USB port. It’s also the reason why you won’t find any heat-sinks on the device: the chip’s low power draw directly translates into very little waste heat, even during complicated processing tasks.
Ruchi Mittal and Bhatia propose a system in which they detect irregular patterns of sensory data with respect to time and space. They design a system which continuously queries and monitors sensor data to detect any deviations from the norm. This is essential in detecting a faulty sensor node and ensuring it can be quickly replaced. This system is especially helpful when detecting environmental activity like forest re. In or- der to achieve desired results, Data preprocessing and sensor data clustering is used. In data preprocessing, the sensor data is cleaned by putting in missing values and removing any unwanted data. Mittal and Bhatia analyzed this data cluster by plotting data, comparing them against expected/predicted patterns and detect anomalies. Ye and Wang in have a WSN system which is based on IRIS mote hardware platform which consists of ATmega 128 microprocessor, a RF230 radio chip and external ash memory for over the air programming. The sensors are programmed to collect and deliver sensor data periodically. Sensor data is sent on an event basis, which means that whenever there is a sudden change in the environment, the sensor data is sent. However, the sensors are always listening, i.e. they wait for changes in environment and report only once a drastic change is detected. These sensors are user-denied and act based on requirement.