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AT89S52 microcontroller 2) HC05 Bluetooth Module: Fig.7 shows the HC05 Bluetooth module, a class 2 module, used in this project for serial communication. It transfers data at a speed of 3Mbps and can be used for automation within a range of 10 meters approximately. It receives the command from the android phone and transmits to the microcontroller for further decoding. Bluetooth module HC05 acts as the interface between the Android applications and the microcontroller. For pairing with the module 1234 is the by default password.
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... has 40 pins, 256*8-bit internal RAM, 32 Programmable I/O Lines, three 16-bit Timer counters and 4 ports. Fig.6 shows the AT89S52 microcontroller used in automation system. ) R305 Finger Print Sensor: Fig.9 shows an optical biometric fingerprint sensor module with TTL UART interface for direct connections to a microcontroller UART. ...
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... However, now it's very easy to crack passwords and identity cards making these strategies unreliable. Plan has been made and put in force to a customizable and tuneable fingerprint-based totally locking device [3] which is found very powerful compared to standard commercially manufactured locking systems. In the article [4], research is being done to provide maximum security for those high-level security applications. ...
Fingerprint door locks have gained significant popularity due to their convenience and enhanced security compared to traditional lock systems. However, recent advancements in biometric hacking techniques and emerging technologies call for a more robust and reliable approach to fingerprint-based access control. This project aims to explore and implement a robust approach to enhance the security of fingerprint door locks. The study will investigate the integration of additional biometric modality along with the algorithm of advanced encryption to improve the overall security and authentication accuracy of fingerprint door lock systems.
This concept which is of Fingerprint door locker is related to the security issues in the day today life, the physical key can be made as duplicate in very cheap cost and the key can lost somewhere or the key can steal, to overcome these issues we can use biometric security gadgets and try improvise the security much more because it can never be stolen it cannot be lost and the stealing chance of duplication are very low to break the security. From the old times the security is the big issue for the company’s houses and other places and every person is worried about the security now a days. So, a solution to such problems can be by combining door lock with biometrics. Biometric verification is any means by which a person can be uniquely identified by evaluating one or more distinguishing biological traits. [2] Unique identifiers include fingerprints, hand geometry, earlobe geometry, retina and iris patterns, voice waves, DNA, and signatures. The fingerprint sensor will take the fingerprint of the user and forward it to the microcontroller to match with its records. If the print matches with one of the fingerprints of the microcontroller’s memory, the microcontroller will lock or unlock the latch, based on its current state. If the fingerprint do not match then nothing happen. The door lock is unlocked and the user have to retried. The system will be reset once a known print will be entered [15]. Here we will use fingerprint for biometric verification as it is one such thing which is unique to every individual and the use of fingerprint as the key to door locks can overcome the security problem of unauthorized people trespassing to our homes, shops, offices, etc. to a great extent as duplicate in such key is not possible. Also, this system will not lead to problems like losing keys because we do not require carrying keys if this system is used instead of traditional locks. So, using Arduino we will try to implement the system with features which will increase the security level. [18]
The load scheduling is a paramount concern in the cloud-based computing due to the involvement of conflicting parameters and fluctuating demands of users. Though the problem of load scheduling comes in the category of NP-hard problem, it is utmost essential to design a load scheduling approach to tackle the challenges in cloud computing. These challenges could be elevated by using metaheuristic approaches that offer an optimal solution to an NP-hard problem. In this research, authors propose a binary self-adaptive JAYA-based load scheduling algorithm to solve the dynamically independent load scheduling problem in cloud-based computing. The proposed algorithm is compared with the lately invented metaheuristic-based task scheduling algorithms such as bird swarm optimization (BSO), modified particle swarm optimization (MPSO), and the standard JAYA. The proposed algorithm is evaluated using a real-world dataset for the various QoS scheduling parameters to advocate the effectiveness of the algorithm. The simulated results show notable improvements over other compared algorithms for makespan, average resource utilization, and load-balancing.
Things are getting smarter day by day. With the present conventional locks, there is a possibility of keys being misplaced or lost or may fall into the hands of strangers. With the advances taking place in technology, people are also giving high preference for the technology that is safe, secure and handsfree. This made to the development of a biometric lock using Bluetooth technology working through Android app. To operate this, a person needs to enrol initially and later he can just operate the door using the fingerprint ensuring safety. When the user wants to lock/unlock the door, he needs to place the finger in Android app available in their mobile unit. This data via Bluetooth of mobile unit will be received by Bluetooth module attached to the Arduino. Then the Arduino unlocks the lock through relay if the fingerprint matches. This smart biometric lock avoids carrying keys and robbery. It enhances the security of their houses by sending an alert message, in case the fingerprint is not matched or trying to break the lock to the concerned person. A buzzer is also used which alerts the neighbourhood people. As the biometric system proposed here works on Bluetooth, it does not have any Internet issues. More importantly the system proposed is using the inbuilt app for fingerprint recognition in the mobile rather than physical device that prevents the mechanism of creating duplicate fingerprints and operates the lock. This makes the system more secure, cost effective and simple to implement.
Prisoners are segregated in different wards. But it is the tendencies of a few bad elements to leave the barracks on the pretext of availing medical services, canteen services and telephone services etc., and going to some other barracks to receive or distribute prohibited articles. To overcome this situation, a system is proposed for the surveillance of the prisoners, using biometric sensors for monitoring purpose. This project overcomes the limitations of the existing systems of correctional facilities. In this proposed method the finger prints of the prisoners are taken as input and the other parameters that apply are the source and destination along with the time difference. Thus, the proposed system will make prisons more secure. This work provides more secure and efficient way to eliminate the wrong traversals and to inform the officials about it when this happens. The biometric sensor along with LED display, the alarm, RF receiver, RF transmitter is integrated with the PIC microcontroller. The fingerprint module takes the input and identifies the prisoner and then displays the details in the LED screen. Source controller RF and the destination RF interact, as soon as the prisoner checks in, the timer starts to function and counts until prisoner reaches. If the prisoner does not reach before the average time taken, then the alarm goes on and the official can know along with the prisoner ID on the screen. Thus the proposed system gives a better monitoring and control over the prisoners.
From earlier times, security was and also till now is an issue of concern in our households and also in office, shops, etc. Everyone has a fear of unauthorized person entering to their home or office without their knowledge. The normal door can be fitted with locks which are capable of breaking with the use of an alternate key. Alternatives to this system can be found like the password or pattern system in the locks which again has the possibility of getting exposed and opening the lock. So, a solution to such problems can be by combining door lock with biometrics. Biometric verification is any means by which a person can be uniquely identified by evaluating one or more distinguishing biological traits. Unique identifiers include fingerprints, hand geometry, earlobe geometry, retina and iris patterns, voice waves, DNA, and signatures. Here we will use fingerprint for biometric verification as it is one such thing which is unique to every individual and the use of fingerprint as the key to door locks can overcome the security problem of unauthorized people trespassing to our homes, shops, offices, etc to a great extent as duplicacy in such key is not possible. Also, this system will not lead to problems like losing keys because we do not require carrying keys if this system is used instead of traditional locks. So, using arduino we will try to implement the system with features which will increase the security level.
IoT technology enables to control surrounding things which would otherwise be controlled manually. A smart door lock system is very important when security access, ease of access, schedule of access are essential. The traditional door lock system does not support any of these smart functionalities. In this paper, we have proposed a smart door lock system that provides features of auto lock, schedule lock and security door lock. The lock can be managed by an Android app and provides ease of access management. We have implemented a prototype of the proposed door lock system and conducted experiments to observe the response time and reliability of such system. The results show that the smart door lock system is reliable and the response time is very fast. We have also compared the performance of our Android app and the Arduino app.
