scholarly journals Smart Authentication and Secured Engine Unlocking System for Automobiles

Author(s):  
Bhargava R ◽  
Amulya H C ◽  
Jyothi K P ◽  
Keerthana R

As human life started to evolve on this earth, the craving for smart automobiles has increased, and adding a vehicle security system to secure the automobile from theft in parking and in unsecured places is important. This paper proposes the design and development of smart system to prevent theft that uses biometric authentication to access the door and to start the engine of the automobile. This system initially uses the fingerprint module that takes the real time fingerprint of a person trying to open the vehicle door and compares it with the authorized person’s fingerprint and then allows or denies the access to door, and secondly the camera takes the image of a person trying to start the engine and compares with the authorized person’s image to allow or deny the access to the engine. In case of detection of unauthorized fingerprint, the GSM module sends the message to the owner and in case unauthorized person detected by camera it sends the captured image with alert message to owner. The system is developed using raspberry pi, GSM module, fingerprint module, pi camera, dc and servo motor.

2015 ◽  
Vol 47 ◽  
pp. 471-479 ◽  
Author(s):  
N. Kiruthiga ◽  
L. latha ◽  
S. Thangasamy

2021 ◽  
Author(s):  
B. Mohamed Arafath Rajack ◽  
N. Subramanian ◽  
N. Arun Pragadesh ◽  
R. Suvanesh ◽  
S. Vignesh

In this modern world agriculture is one of the major booming sectors around the world. In India around 60 percent of GDP comes from agriculture sector alone. Also, around the world there are many technologies showing up in the field of agriculture. In this paper proposed a technology by means of which potential pest attack in the crops can be detected and the respective pesticide is also sprayed as well. Along with these there is a range of sensor employed in the field connected to the controller that will take the real time values from the field and can be displayed in the respective screen (monitor or mobile screen) by means of technology called IOT (Internet of Things). Raspberry-pi is used as the controller to perform IoT. system is linked with an application called “cain” Which allows us to display various values of sensors in the monitor or in mobile application.


This paper deals with development of a Vehicle Security and Entertainment System, which is being used to monitor, track the vehicle, and to offer local entertainment system. The development system makes used of two embedded devices to split the entertainment system from the security system to ensure isolation and security. The security system is equipped with camera, distress signal switch and GPS/GPRS module to track, report a problem, and monitor the vehicle by sending data to a centralized database server where vehicle owner can access and retrieve these data to guarantee the safety of the passengers and the vehicle too. The second system is the entertainment system, where this system uses a powerful Intel atom embedded device and local network to allow users to connect and offer entertaining services. These services include, E-Book library and multimedia streaming. The main concept of research to develop a low cost system to secure and entertain passengers on vehicles like buses, train and even cars. The development is cost effective and as well as can be modified to add extra modules or to develop extra entertainment services. If the vehicle is stolen the system is able to send a distress signal to the owner or company. They can help the passengers by monitoring through the vehicle camera. In this research we have successfully developed and tested the system.


2014 ◽  
Vol 926-930 ◽  
pp. 2143-2146
Author(s):  
Xiu Wei Fu ◽  
Li Fu ◽  
Jing Li

Human life and work are affected by PM2.5, so it is very necessary to get the real-time detection of PM2.5 every day. Remote monitoring is achieved by the LM3S8962 with Ethernet module as control core, and then the detect signals about PM2.5 air quality are transmitted by Ethernet communications. It has been proved by our experiment that Air quality testing data can be obtained in real time by experiments. It can be conclusion that the data of experimental is right by comparing.


2021 ◽  
Author(s):  
Indhuja G ◽  
Aashika V ◽  
Anusha K ◽  
Dhivya S ◽  
Meha Soman S

In the present world the security of the home, banks, shops, etc., are the prime concerns. The traditional security such as Closed-Circuit Television (CCTV) cameras are very easy to break and lead to theft. And moreover, the installation cost of the security systems is costlier. To overcome these problems, we are presenting Internet of Things (IoT) based solution where we can setup a smart security system. In this paper, we are proposing the system with the help of face detection and face recognition algorithms to secure our home which gives us the facility of entire surveillance of our buildings remotely and take appropriate action if anything goes wrong. The Camera Serial Interface (CSI) is attached to the Raspberry PI which detects presence of person using Face detection and recognition algorithms. The multiple Raspberry PIs attached in different areas of our buildings are connected to the main Raspberry PI which acts as hub module. If the person is identified as unknown, the information is sent to Hub module which in turn sends the alert message and live video streaming to the user using an app which we developed.


The Surveillance and the ongoing examination on Fire work mishaps are just arrangements with the manual preventions, mindfulness and how to keep away from the mishaps during the assembling procedure of wellbeing matches and fireworks. Dangerous mishaps happen frequently, resulting in overwhelming misfortunes of human lives and wounds to laborers. The fundamental driver of Fire mishaps is from Gun Powder. In this Gunpowder not just explosives at the time of higher temperature which additionally obliterated the whole things underneath the referenced temperature. The preventive measure on this surveillance bargains and suggested that the temperature, smoke caution sensor is bolstered to the laborers keep away from heavier harms. The proposed work enhances the preventive system through, advanced IoT based sensors which is deployed on the field to monitor and prevent the real time mishaps. The framework clearly identifies the Automated Chemical Manager (ACM) to balance chemical control activities and threshold limits to avoid the possibility of accidents in the firework industries. The timely alarm through this smart preventive system will avoid the loss of human life and frequent accidents in the firework industry.


2018 ◽  
Vol 7 (3.34) ◽  
pp. 245
Author(s):  
C Selvarathi ◽  
R Sujatha

In the advancement of Internet technologies all machineries are inter related. Using the technology improvement, we can make many things in high effective and simple for human life. There are several places of Internet of Things (IOT) is used. Such as smart environment, smart home, smart city, smart parking, agriculture fields and medical fields.. In this paper, monitor patient’s heart rate, body temperature, Respiration rate and body movements using Raspberry Pi . After connecting Internet to the Raspberry Pi board it act as a server.. If these parameters are goes to abnormal, it will automatically sends alert message to the doctor. The data send by Raspberry pi is stored on a server. The detailed information of patients and doctor registered through website on stored on server. The people to check health status with help of sensors and patients to access the website from anywhere. In Wireless Sensor Network for acquire the convenient patient’s physiological signal using Raspberry Pi. 


2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Aamir Shahzad ◽  
Yang Sun Lee ◽  
Malrey Lee ◽  
Young-Gab Kim ◽  
Naixue Xiong

Telemonitoring is not a new term, in information technology (IT), which has been employed to remotely monitor the health of patients that are located not in common places, such hospitals or medical centers. For that, wearable medical sensors, such as electrocardiography sensors, blood pressure sensors, and glucometer, have commonly been used to make possible to acquire the real-time information from the remotely located patients; therefore, the medical information is further carried, via the Internet, to perform medical diagnosis and the corresponding treatments. Like in other IT sectors, there has been tremendous progress accounted in medical sectors (and in telemonitoring systems) that changes the human life protection against several chronic diseases, and the patient’s medical information can be accessed wirelessly via Wi-Fi and cellular systems. Further, with the advents of cloud computing technology, medical systems are now more efficient and scalable in processing, such as storage and access, the medical information with minimal development costs. This study is also a piece of enhancement made to track and monitor the real-time medical information, bounded in authorized area, through the modeling of private cloud computing. The private cloud-based environment is designed, for patient health monitoring called bounded telemonitoring system, to acquire the real-time medical information of patients that resided in the boundary, inside medical wards and outside medical wards, of the medical center. A new wireless sensor network scenario is designed and modeled to keep or monitor the patients’ health information whole day, 24 hours. This research is a new secured sight towards medical information access and gives directions for future developments in the medical systems.


2018 ◽  
Vol 7 (2.24) ◽  
pp. 29 ◽  
Author(s):  
Akalya Chellappa ◽  
Mandi Sushmanth Reddy ◽  
R Ezhilarasie ◽  
S Kanimozhi Suguna ◽  
A Umamakeswari

Driver drowsiness is a primary cause of several highway calamities leads to severe physical injuries, loss of money, and loss of human life. The implementation of driver drowsiness detection in real-time will aid in avoiding major accidents. The system is designed for four-wheelers wherein the driver’s fatigue or drowsiness is detected and alerts the person. The proposed method will use 5-megapixel Raspbian camera that captures driver’s face and eyes and processes the images to detect driver’s fatigue. On the detection of drowsiness, the programmed system cautions the driver through an alarm to ensure vigilance. The proposed method constitutes of various stages to determine wakefulness of the driver. According to this output, the warning message is generated. Haar Cascade Classifiers is used to detect the blink duration of the driver and Eye Aspect Ratio (EAR) is calculated. Finally, the alert message along with car plate number is sent to the concerned person mobile with help of Ubidots cloud service and Twilio API. For this Raspberry Pi 3 with Raspbian (Linux Based) Operating System is used.  


2020 ◽  
Vol 10 (1) ◽  
pp. 17-29
Author(s):  
Ahmed A. Elngar ◽  
Mohammed Kayed

AbstractNowadays, the automobile sector is one of the hottest applications, where vehicles can be intelligent by using IoT technology. But unfortunately, these vehicles suffer from many crimes. Hence it has become a big challenge for the IoT to avoid such these crimes from professional thieves. This paper presents a proposal for the development of a vehicle guard and alarm system using biometric authentication based on IoT technology. Whereas, for vehicle security issues; the proposed system VSS − IoT gives only full access for authorized vehicle’s driver based on the interface of a Raspberry Pi 3 Model B+ development board, Pi camera, PIR sensor, and smart-phone. Therefore, if the proposed system detects an unauthorized person inside the vehicle, then the system will notify and send his image to vehicle’s owner and/or to a police workstation through the Internet, as well as, its location in case the vehicle is stolen or damaged. The proposed system is tested on two datasets that are ORL dataset and our dataset. The experimental results of the VSS − IoT showed that the accuracy is 98.2% on ORL dataset, whereas 99.6% when applied on our dataset. Besides, the VSS − IoT enhances the sensitivity to 97.7% which is important for real-time. As well as the result demonstrated that the proposed system took shorter time 0.152 sec under different illumination conditions, when the value of the threshold is 3 * 103 and 3.50 * 103. Therefore, the VSS − IoT is very robust and reliable for face recognition when deployed on the low-power processor.


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