Electric Field and Ultrasonic Sensor Based Security System

Author(s):  
Rohit Sharma ◽  
Karandeep Singh Dhingra ◽  
Nikhil Pandey ◽  
Rahul Garg ◽  
Rohit Singhal
2015 ◽  
Vol 18 (3) ◽  
pp. 110
Author(s):  
Fikri Musthofa ◽  
Heru Winarno

Fikri Musthofa, Heru Winarno, in this paper explain that along with the high number of accidents on the highway at this time of course must be a special concern for motorists. There are many factors that underlie the occurrence of an accident in driving, the most important of which is the factor of driver error in driving, such as drowsiness or lack of rest, lack of concentration, and much more. Besides the security system in vehicles is also very influential in reducing the number of accidents in driving. With the development of today's technology, it is necessary to create a speed deceleration system on the motor based on the distance to the barrier objects in front of the vehicle using ultrasonic sensors. Ultrasonic sensor which is a type of proximity sensor is a sensor that can detect distances so that it can be used as a sensor in this system. This system can reduce motor speed automatically when the sensor detects a barrier object in front with a distance of less than 300 cm. This system will be active when the ultrasonic sensor detects a distance of less than 300 cm. At that distance the Arduino Mega 2560 will adjust the PWM value of the motor, the motor PWM value will decrease 12% every second so that within a period of 8 seconds the motor will have a speed of 0 rpm which means the motor will stop. This system is expected to reduce the number of road accidents due to motorists' faults. Keywords: Speed Deceleration, PWM Method, Ultrasonic Sensor, Arduino Mega 2650.ReferencesAgus Setya Abadi, Delta. 2008. Sensor Ultrasonic Sebagai Alat Navigasi Robot Pemadam Api.. Tugas Akhir PSD III Teknik Elektro (Tidak diterbitkan) Semarang : Universitas Diponegoro.Anonimus. 2012. Sensor Ultrasonic HC-SR04. Diunduh dari http://arduino- learning.com/code/hc-sr04-ultrasonic-sensor-example.php diakses pada 1 Juni 2015 pukul 14.30 WIB.Anonimus. 2013. Rangkaian Skematik Driver Motor L298N. Diunduh dari http://www.yujum.com/rangkaian-dan-skematik-driver-motor-l298n/ diakses pada 17 Juni 2015 pukul 19.45.Anonimus. 2014. Accumulator atau Aki dan jenisnya. Diunduh dari http://www.sandielektronik.com/2014/03/accumulator-atau-aki.html diakses pada 30 Mei 2015 pukul 16.15 WIB.Prayogo, Rudito. 2012. Pengaturan PWM dengan PLC. Tugas Mata Kuliah Teknik Otomasi (Tidak diterbitkan). Malang: Universitas Brawijaya.Riny Sulistyowati. 2012. Perancangan Prototype System Kontrol Dan Monitoring Pembatas Daya Listrik Berbasis Mikrokontroler. Surabaya : Institut Adhi Tama Surabaya.Surono. 1988. Tata Tulis Karya Ilmiah Bahasa Indonesia. Semarang : Fakultas Sastra Universitas Diponegoro.


2018 ◽  
Vol 5 (2) ◽  
pp. 122
Author(s):  
Abdul Zain ◽  
Arief Muliawan

In a building should have a good security system,especially Emergency Exit (emergency evacuation path).Emergency Exit is important because when an emergency occursin the building, the first thing to do is get out of the lab building.One thing to note is the emergency exit door. With the emergencydoor that can be opened quickly so all workers can get outquickly as well from the building when an emergency occurs.So,we need a model (prototype) controlling an emergency door thatcan function properly in an emergency. Prototype newemergency door controller is expected to be implemented intoactual emergency door. Prototype can be accessed with a pushbutton by the user facility. The prototype controller usemicrocontroller ATMega16. And for each emergency exitmovement is monitored and its status is expressed in LEDindicator lights and LCD display on 16x2. Modeling controllingemergency exit of a series of tests using a prototype have workedwell except on the 3rd test caused an error when calibrating thedistance between Ultrasonic sensor with Emergency Door.


2020 ◽  
Vol 2 (5) ◽  
pp. 20-25
Author(s):  
Kannamma R ◽  
Bhargavi S ◽  
Bhavani Sree S ◽  
Mahalakshmi J

Tailgating is the one where an employee holds the office door for others to enter into the building with one access. This leads to insecure where in the unknown person can also enters into the building with the access of the original employee. To overcome this, introducing security system that prevents tailgating that provides authentication, accuracy, flexibility and gives more convenience to the security guards. It is an embedded based system and built under the Linux environment. First the faces of all the people is captured and trained using OpenCV python package for the purpose of further experimentation in the future. In this Raspberry pi is used as a main controller along with camera which enables to access image processing with any portable embedded system. When the person enters near to the gate, the ultrasonic sensor starts to sense and triggers the camera which detects the person face and checks with the trained dataset using the Haar Cascading algorithm, if it matches the gate gets opened. If suppose the person enters the gate with other person with one access control, then again, the camera gets triggered to capture the unauthorized person face and sends the mail of the detected person to the concerned authority through firebase cloud database.


Author(s):  
G. F. Rempfer

In photoelectron microscopy (PEM), also called photoemission electron microscopy (PEEM), the image is formed by electrons which have been liberated from the specimen by ultraviolet light. The electrons are accelerated by an electric field before being imaged by an electron lens system. The specimen is supported on a planar electrode (or the electrode itself may be the specimen), and the accelerating field is applied between the specimen, which serves as the cathode, and an anode. The accelerating field is essentially uniform except for microfields near the surface of the specimen and a diverging field near the anode aperture. The uniform field forms a virtual image of the specimen (virtual specimen) at unit lateral magnification, approximately twice as far from the anode as is the specimen. The diverging field at the anode aperture in turn forms a virtual image of the virtual specimen at magnification 2/3, at a distance from the anode of 4/3 the specimen distance. This demagnified virtual image is the object for the objective stage of the lens system.


Author(s):  
Patrick P. Camus

The theory of field ion emission is the study of electron tunneling probability enhanced by the application of a high electric field. At subnanometer distances and kilovolt potentials, the probability of tunneling of electrons increases markedly. Field ionization of gas atoms produce atomic resolution images of the surface of the specimen, while field evaporation of surface atoms sections the specimen. Details of emission theory may be found in monographs.Field ionization (FI) is the phenomena whereby an electric field assists in the ionization of gas atoms via tunneling. The tunneling probability is a maximum at a critical distance above the surface,xc, Fig. 1. Energy is required to ionize the gas atom at xc, I, but at a value reduced by the appliedelectric field, xcFe, while energy is recovered by placing the electron in the specimen, φ. The highest ionization probability occurs for those regions on the specimen that have the highest local electric field. Those atoms which protrude from the average surfacehave the smallest radius of curvature, the highest field and therefore produce the highest ionizationprobability and brightest spots on the imaging screen, Fig. 2. This technique is called field ion microscopy (FIM).


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