bluetooth based automatic car garage opening system
S Diwakaran,G.Pavan Kumar,M.Sushanth Varma,K.Reddy Mohan Reddy
Published in International Journal of Advanced Research in Computer Networking,Wireless and Mobile Communications
ISSN: 2320-7248 Impact Factor:1.8 Volume:5 Issue:3 Year: 20 May,2021 Pages:223-228
Abstract
The improvement of innovation is progressively. exceptional and gives a great deal of comfort in the utilization of gadgets. or instruments identified with human requirements. Considering this, the creator made an entryway regulator utilizing a Bluetooth signal from an. Android versatile. and a carport. entryway regulator utilizing an Arduino-based. metal finder. This examination depicts. clients are not needed to get off the vehicle to open the entryway and carport., on the grounds that through a Bluetooth signal from an Android telephone, clients can open and close the carport. door naturally and through discovery of metal sensors, the carport entryway can be opened and shut consequently. without troubling. individuals to open the carport. Bluetooth Classic (BT) remains the true network innovation in vehicle sound systems, remote headsets, workstations, and a plenty of wearables, particularly for applications that require high information rates, for example, sound streaming, voice calling, tying, and so on Dissimilar to in Bluetooth Low Energy (BLE).,: The nonstop worldwide expansion in the quantity of vehicles has prompted an expansion in leaving issues, especially concerning the quest for accessible parking spots and discovering vehicles. In this paper, we propose a route framework for vehicle proprietors to discover their vehicles in indoor parking structures. The proposed framework includes a vehicle looking through portable application and a situating helping subsystem. The application guides vehicle proprietors to their vehicles dependent on a "turn-by-turn". route methodology and can address the client's. going direction. The subsystem utilizes reference point innovation for indoor situating, supporting self-direction. of the vehicle looking through portable application. This investigation. likewise planned a nearby facilitate framework. to help the distinguishing. proof of the areas of parking spots. and guide gadgets. We utilized Android. as the stage to actualize. the proposed vehicle looking through versatile. application and utilized Byte real HI Beacon gadgets. to execute the proposed situating helping subsystem. We likewise conveyed. the framework in a parking garage. in our grounds for testing. The test results checked that the proposed framework functions admirably., yet in addition gives the vehicle proprietor. the right course direction data.
Kewords
garage door opening system
Reference
[1] Schlote, A.; King, C.; Crisostomi, E.; Shorten, R. Delay-Tolerant Stochastic Algorithms for Parking Space Assignment. Trans. Intell. Transp. Syst. 2014, 15, 1922:1935. [2] Verroios, V.; Efstathiou, V.; Delis, A. Reaching Available Public Parking Spaces in Urban Environments Using Ad Hoc Networking. In Proceedings of the 12th IEEE International Conference on Mobile Data Management (MDM 2011), Lulea, Sweden, 6:9 June 2011; pp. 141:151. [3] Chen, Z.; Fu, J.; Sun, R.; Han, H. QR Code Location Based Reverse Car-Searching Route Recommendation Model. In Proceedings of the IEEE International Conference on Vehicular Electronics and Safety (ICVES), Hyderabad, India, 16:17 December 2014; pp. 73:77. [4] Fallah, N.; Apostolopoulos, I.; Bekris, K.; Folmer, E. Indoor Human Navigation Systems: A Survey. Interact. Comput. 2013, 25, 21:23. [5] Giannopoulos, I.; Kiefer, P.; Raubal, M. GazeNav: Gaze-Based Pedestrian Navigation. In Proceedings of the 17th International Conference on HumanComputer Interaction with Mobile Devices and Services, Copenhagen, Denmark, 24:27 August 2015; pp. 337:346. [6] Popa, M. Pedestrian Navigation System for Indoor and Outdoor Environments. In Human Computer Systems Interaction: Backgrounds and Applications; Hippe, Z.S., Kulikowski, J.L., Mroczek, T., Eds.; Springer: Berlin/Heidelberg, Germany, 2012; pp. 487: 502. [7] Guo, Q.; Deng, W.; Bebek, O.; Cavusoglu, C.; Mastrangelo, C.; Young, D. Personal Inertial Navigation System Employing MEMS Wearable Ground Reaction Sensor Array and Interface ASIC Achieving a Position Accuracy of 5.5 m over 3 km Walking Distance without GPS. In Proceedings of the IEEE International Solid-State Circuits Conference, San Francisco, CA, USA, 11:15 February 2018; pp. 180:182. [8] Tariq, Z.B.; Cheema, D.M.; Kamran, M.Z.; Naqvi, I.H. Non-GPS Positioning Systems: A Survey. ACM Comput. Surv. 2017, 50, 57. [9] Lee, C.; Chang, Y.; Park, G.J.R.; Jeong, S.; Park, S.; Park, J.W.; Lee, H.C.; Hong, K.; Lee, M.H. Indoor Positioning System Based on Incident Angles of Infrared Emitters. In Proceedings of the 30th Annual Conference of the IEEE Industrial Electronics Society, Busan, Korea, 2:6 November 2004; pp. 2218:2222. [10] Elloumi, W.; Latoui, A.; Canals, R.; Chetouani, A.; Treuillet, S. Indoor Pedestrian Localization with a Smartphone: A Comparison of Inertial and VisionBased Methods. IEEE Sens. J. 2016, 16, 5376:5388. [11] Shu, Y.; Bo, C.; Shen, G.; Zhao, C.; Li, L.; Zhao, F. Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing. IEEE J. Sel. Areas Commun. 2015, 33, 1443:1457. [12] Zhuang, Y.; Yang, J.; Li, Y.; Qi, L.; El-Sheimy, N. Smartphone Based Indoor Localization with Bluetooth Low Energy Beacons. Sensors 2016, 16, 596. [13] Faragher, R.; Harle, R. Location Fingerprinting with Bluetooth Low Energy Beacons. IEEE J. Sel. Areas Commun. 2015, 33, 2418:2428. [14] Kriz, P.; Maly, F.; Kozel, T. Improving Indoor Localization Using Bluetooth Low Energy Beacons. Mob. Inf. Syst. 2016, 2016, 2083094. [15] Mohebbi, P.; Stroulia, E.; Nikolaidis, I. Sensor-Data Fusion for Multi-Person Indoor Location Estimation. Sensors 2017, 17, 2377. [16] Huh, J.H.; Seo, K. An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems. Sensors 2017, 17, 2917. [17] Newman, N. Apple iBeacon Technology Briefing. J. Direct Data Digit. Mark. Pract. 2014, 15, 222:225. [18] Martin, P.; Ho, B.J.; Grupen, N.; Mun, S.; Srivastava, M. An iBeacon Primer for Indoor Localization: Demo Abstract. In Proceedings of the 1st ACM International Conference on Embedded Systems for EnergyEfficient Buildings (BuildSys 14), Memphis, TN, USA, 3:6 November 2014; pp. 190:191. [19] Davidson, P.; Piche, R. A Survey of Selected Indoor Positioning Methods for Smartphones. IEEE Commun. Surv. Tutor. 2017, 19, 1347:1370. [20] Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M. Internet of Things for Smart Cities. IEEE Internet Things J. 2014, 1, 22:32.
