Abstract
With the distended utilization of reconnaissance mission cameras, a library is proffered during this paper that is employed to try to image preparing victimization-programming tongues like python. This task uses Open CV Library to show the gap between the article and camera for the Eudaimonia checking of the IOT climate. We have got adscititious 2 modules to the reconnaissance mission camera. First, to understand the articles that area unit falling or unit victimization object space detector once the factor recognized then the client will get the caution message for that we have a tendency to area unit victimization GSM module. Second, there are a unit various prospects to urge upgrade of observation camera thanks to deluge or water; for the popularity of water, we have a tendency to area unit utilizing precipitation board module and management module that includes LM393 comparator on the off likelihood that the appliance knows the precipitation; at that time, it sends the message to the shopper. Results gain through screen catches of the examinations show the suitableness of the planned plot.
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Immadi G, Venkata Narayana M, Suraj Y, Nara Simha Rao NMVL, Naveen Chowdary PSVS, Emmanuel Raju M (2017) Estimation of effect of troposphere rain on radio link in tropical environment. ARPN J Eng Appl Sci 12(17):4960–4966
Mohan Kumar C, Kameswara Rao M (2018) Critical review attacks and countermeasures in internet of things enabled environments. Int J Eng Technol (UAE) 7(2):163
Madhusudanan J, Geetha S, Prasanna Venkatesan V, Vignesh U, Iyappan P (2018) Hybrid aspect of context-aware middleware for pervasive smart environment: a review. Mobile Inf Syst Article ID 6546501:1–16
Goswami C, Shahane R (2018) Transport control protocol (TCP) enhancement over wireless environment: issues and challenges. In: Proceedings of the international conference on inventive computing and informatics, ICICI 2017, pp 742–749
Ravi Kumar DVAN, Koteswara Rao S, Padma Raju K (2018) Design of a robust estimator for submarine tracking in complex environments. Lecture Notes Electr Eng 471:273–282
Neelima V, Naveen KP, Padma Priya NV, Sripath RK, Sripriya K, Matin Kausar SK (2018) Implementation of home environmental conditions monitoring system by multiplexing technique on NodeMCU. J Adv Res Dyn Control Syst 10(2):569–578
Krishnaveni K, Venkata RK, Prathyusha G, Gopi KP (2018) Development of real time environment monitoring system using with MSP430. Int J Eng Technol (UAE) 7(2):72–76
Penchala Naidu T, Sri Varma JGRSN, Sumanth Kumar KLNPVP, Prasad NV, Saketh H (2019) Surveillance of environment using node Mcu based on Iot. Int J Recent Technol Eng 8(1):785–788
Harsha SS, Simhadri H, Raghu K, Prasad KV (2019) Distinctly trained multi-source cnn for multi-camera-based vehicle tracking system. Int J Recent Technol Eng 8(2):624–634
Kavitha M, Pavani D, Lahari Y, Prasanna M (2019) Safe navigation system framework for visually impaired users using a micro-digital camera. J Adv Res Dyn Control Syst 11(7):631–637
Kamble Rita R, Rajarajeswari P (2017) A review of various camouflage moving object detection techniques. J Eng Appl Sci 12 (Specialissue12):9514–9519
Reddy AVN, Phanikrishna C (2017) Contour tracking-based knowledge extraction and object recognition using deep learning neural networks. In: Proceedings on 2016 2nd international conference on next generation computing technologies, NGCT 2016, pp 352–354
Das RP, Roja G, Sampath Dakshina Murthy A, Koteswarao Rao S (2017) Global positioning system object tracking by applying fuzzy logic nonlinear techniques. J Adv Res Dyn Control Syst 9:725–735
Kamble R, Rajeshwari R (2018) Moving object detection in static background using tensor flow. J Adv Res Dyn Control Syst 10(6):501–506
Bandi R, Amudhavel J (2018) Object recognition using Keras with backend tensor flow. Int J Eng Technol (UAE) 7:229–233
Kumar S, Ansari MD, Gunjan VK, Solanki VK (2020) On classification of BMD images using machine learning (ANN) algorithm. In: ICDSMLA 2019. Springer, Singapore, pp 1590–1599
Ahmed SM, Kovela B, Gunjan VK (2020) IoT based automatic plant watering system through soil moisture sensing—a technique to support. Adv Cybern Cogn Mach Learn Commun Technol 643:259
Ghuge CA, Ruikar SD, Prakash VC (2018) Query-specific distance and hybrid tracking model for video object retrieval. J Intell Syst 27(2):195–212
Rao IVR, Anusha S, Mohammad AB, Satish Kumar D (2018) Object tracking and object behavior recognition system in high dense crowd videos for video supervision: a review. J Adv Res Dyn Control Syst 10(2 Special Issue):377–380
Balakrishna S, Solanki VK, Gunjan VK, Thirumaran M (2019) Performance analysis of linked stream big data processing mechanisms for unifying IoT smart data. In: International conference on intelligent computing and communication technologies. Springer, Singapore, pp 680–688
Kulkarni JB, Chetty MSR (2019) Depth analysis of single view image objects based on object detection and focus measure. Int J Adv Trends Comput Sci Eng 8(5):2608–2612
Gunjan VK, Pathak R, Singh O (2019) Understanding image classification using TensorFlow deep learning-convolution neural network. Int J Hyperconnectivity Internet Things (IJHIoT) 3(2):19–37
Ahmed SM, Kovela B, Gunjan VK (2021) Solar-powered smart agriculture and irrigation monitoring/control system over cloud—an efficient and eco-friendly method for effective crop production by farmers in rural India. In: Proceedings of international conference on recent trends in machine learning, IoT, smart cities and applications. Springer, Singapore, pp 279–290
Alami AE, Das S, Madhav BTP, Bennani SD (2019) Design, optimization and realization of high gain RFID array antenna 4 ×1 for detection system of objects in motion. J Instrum 14(5):5002–5018
Harika S, Nagarjuna S, Naveen TV, Sanjay Harshanth G, Kavya KCS, Kotamraju SK (2018) Analysis of rain fade mitigation using site diversity technique in southern tropical region of India. Int J Eng Technol (UAE) 7(1.1):622–626
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Harshitha, A., Srinivas, C.M.U., Eswar Sai, M., Kommuri, K., Gopi Krishna, P. (2023). Development of Safety Monitoring for an IOT-Enabled Smart Environment. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_11
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