Image Processing and IoT Based Sand Theft Detection and Indication System
A. Ayshwarya1, R. Dhanalakshmi2, P. Usha Rani3
1A. Ayshwarya, Programme Analyst Trainee, Cognizant Technology Solutions Pvt Ltd.
2R. Dhanalakshmi, Assistant Professor, Department of Electrical and Electronics Engineering, R.M.D Engineering College, Chennai (Tamil Nadu), India.
3Dr. P. Usha Rani, M.E, Ph.D, Department of EEE, Senior Member IEEE, R.M.D.E.C, Chennai (Tamil Nadu), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 14 December 2019 | PP: 170-174 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10361191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1036.1191S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sand is an essential need for all kind of construction work. Due to increase in population, large amount of construction is being done. Usually sand is taken from sand mill and river beds in delta regions. When the amount of sand taken exceeds the maximum limit from the sand mill or the river beds without permission, is called “Sand theft”. Due to this, the environment is affected greatly. Especially, during annual monsoon rains, due to lack of sand the dam supports lose their mechanical strength. Hence, the dam structure breaks out and we are not able to save the freshwater for upcoming summer. At present, there is no other prevention method available other than security officers. So we propose a system to monitor the amount of sand extraction in legal and illegal areas by image processing and RFID based techniques. In the legal section, when the weight of the loaded vehicle exceeds the maximum limit set by the government, then the toll mechanism will not operate and the automatic buzzer alert message will be implemented. In the illegal section, captured vehicle’s image is processed and the collected data will be updated in IOT. Hence the particular authorized person can view the status of sand theft.
Keywords: RFID, UART, IoT.
Scope of the Article: Image Processing and Pattern Recognition