Abstract
Every time the checking of manual working status of the electronic or electrical devices in a room is always a time-consuming process particularly for specially abled people. To avoid this situation, we are implementing a technique of image processing and IOT technology as solution. A device (app) is to be developed which ensures the working status of all devices in room and then acknowledge every update to the responsible person. When the electronic device in the room is turned on, a picture is captured and processed to know the status of the working of a device. The status of working will be updated to the responsible person so that he can take immediate action accordingly. In the further development we can also embed the automatic switching of all the devices in the room according to the presence of the people in the room.
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References
Shroff N, Kauuthale P, Dhanapune A, Patil SN (2017) IOT based home automation system using Raspberry pi-3. Int J Eng Technol 4(5):2824–2826
Patchava VK, Kandala H, Babu PR (2015) A smart home automation technique with Raspberry Pi using IOT. In: Proceedings of International Conference on Smart Sensors and Systems, Bangalore
Severance C (2013) Eben upton: Raspberry pi. 46:14–16
Pandey A, Mishra S, Tiwari P, Mishra S (2018) IOT based home automation system using Rspberry pi kit. Int J Adv Eng Res Dev 5(4):307–309
Saxena S, Gupta R, Varshney S, Singh SP, Kumari, S (2016) Internet of things based home automation using raspberry PI. Int J Eng Sci Comput 6(4):3849–3851
Gamba M, Gonella A, Palazzi CE (2015) Design issues and solutions in a modern home automation system. In: Proceedings of International Conference on Computing Networking and Communications (ICNC 2015), pp 1111–1115
Gonzalez and woods, Digital image processing, 2nd edn. Prentice Hall
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Sahitya, G., Kaushik, C., Krishnasree, V., Mallesh, C.Y. (2021). IOT-Based Domestic Aid Using Computer Vision for Specially Abled Persons. In: Laxminidhi, T., Singhai, J., Patri, S.R., Mani, V.V. (eds) Advances in Communications, Signal Processing, and VLSI. Lecture Notes in Electrical Engineering, vol 722. Springer, Singapore. https://doi.org/10.1007/978-981-33-4058-9_9
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DOI: https://doi.org/10.1007/978-981-33-4058-9_9
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