Telemetry Monitoring of An Environment Using Robot
Main Article Content
Keywords
Telemetry monitoring, voice commands, obstacle avoidance, streamed live, two-way communication
Abstract
In many places, higher officials will patrol every area to keep an eye on how things are working and functioning. It could be challenging for the higher officials to finish all the locations in a day due to the broad geographical coverage. To create a proxy for this, we have made "Telemetry Monitoring of an Environment using Robot" as a stand-in for the higher officials. The Google assistant, which is wirelessly connected to Node MicroController Unit (Node MCU), receives voice commands for our robot. It will obey the user's command to arrive at the desired location. The robot will also use an ultrasonic sensor for obstacle avoidance. This enables the robot to avoid potential roadblocks. The surroundings are observed as it is being streamed live using a Wi-Fi camera and two-way communication. This system provides a platform to monitor any location in a workplace for the user from anywhere.
References
1. Sachdev, S., Macwan, J., Patel, C. and Doshi, N., 2019. Voice-controlled autonomous vehicle using IoT. Procedia Computer Science, 160, pp.712-717.
2. Keertikumar, M., Shubham, M. and Banakar, R.M., 2015, October. Evolution of IoT in smart vehicles: An overview. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT) (pp. 804-809). IEEE.
3. Rashid, H., Ahmed, I.U., Osman, S.B., Newaz, B., Rasheduzzaman, M. and Reza, S.T., 2017, January. Design and implementation of a voice controlled robot with human interaction ability. In International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (Vol. 65, pp. 148-151).
4. Kannan, K. and Selvakumar, J., 2015. Arduino based voice controlled robot. International Research Journal of Engineering and Technology (IRJET), 2(01), pp.49-55.
5. Memon, Y.A., Motan, I., Akbar, M.A., Hameed, S. and Hasan, M.U., 2016. Speech recognition system for a voice controlled robot with real time obstacle detection and avoidance. International Journal Of Electrical, Electronics And Data Communication, 4(9), pp.33-37.
6. Basyal, L., Kaushal, S. and Singh, G., 2018. Voice recognition robot with real timesurveillance and automation. International Journal of Creative Research Thoughts, 6(1), pp.2320-2882.
7. Heo, S., Song, S., Kim, J. and Kim, H., 2017, December. Rt-ifttt: Real-time iot framework with trigger condition-aware flexible polling intervals. In 2017 IEEE Real-Time Systems Symposium (RTSS) (pp. 266-276). IEEE.
8. Kumar, A. and Sharma, S., 2021. IFTTT rely based a semantic web approach to simplifying trigger-action programming for end-user application with IoT applications. Semantic IoT: Theory and Applications: Interoperability, Provenance and Beyond, pp.385-397.
9. Yu, H., Hua, J. and Julien, C., 2021, November. Analysis of ifttt recipes to study how humans use internet-of-things (iot) devices. In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (pp. 537-541).
10. Shrivastava, A., Suji Prasad, S.J., Yeruva, A.R., Mani, P., Nagpal, P. and Chaturvedi, A., 2023. IoT Based RFID Attendance Monitoring System of Students using Arduino ESP8266 & Adafruit. io on Defined Area. Cybernetics and Systems, pp.1-12.
11. Hatem, A.S. and Abed, J.K., 2022, July. Design of Patient Health Monitoring Using ESP8266 and Adafruit IO Dashboard. In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-6). IEEE.
12. Kodali, R.K. and Mahesh, K.S., 2016, December. A low cost implementation of MQTT using ESP8266. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 404-408). IEEE.
13. Wicaksono, H., Sugiarto, I., Santoso, P., Ricardo, G. and Halim, J., 2022, December. Towards Autonomous Robot Application and Human Pose Detection for Elders Monitoring. In 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (pp. 772-776). IEEE.
14. Yilmaz, M., Yazici, A. and Cinar, E., 2021, December. Rdf-based semantic for condition monitoring of autonomous mobile robot. In 2021 2nd International Informatics and Software Engineering Conference (IISEC) (pp. 1-5). IEEE.
15. Al-Mashhadani, Z., Mainampati, M. and Chandrasekaran, B., 2020, December. Autonomous exploring map and navigation for an agricultural robot. In 2020 3rd international conference on control and robots (ICCR) (pp. 73-78). IEEE.
16. Thiyaneswaran, B., Elayaraja, P., Srinivasan, P., Kumarganesh, S. and Anguraj, K., 2021. IoT based air quality measurement and alert system for steel, material and copper processing industries. Materials Today: Proceedings.
17. Jayakrishna, A.P., Hariharan, R., Thilak, G. and Kathirvelu, V., DOMESTIC POWER SAVER USING PIC MICROCONTROLLER ARM.
18. Khan, A. and RS, D., 2022. Soldiers Health Monitoring and Position Tracking System. Cindiya and R, Deenan, Soldiers Health Monitoring and Position Tracking System (February 10, 2022).
19. Sasirekha, N., 2021. Pipe Cleaning Robot Using Microcontroller. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), pp.5493-5497.
20. Amutha, M., Kamali, S. and Sherli, T., 2022, June. Smart Manhole Managing and Monitoring System using IoT. In Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
21. Shanthi, T. and Sabeenian, R.S., 2019. Modified Alexnet architecture for classification of diabetic retinopathy images. Computers & Electrical Engineering, 76, pp.56-64.
22. Ravi, G. and Kashwan, K.R., 2015. A new routing protocol for energy efficient mobile applications for ad hoc networks. Computers & Electrical Engineering, 48, pp.77-85.
23. Manju, K., Sabeenian, R.S. and Surendar, A., 2017. A review on optic disc and cup segmentation. Biomedical and Pharmacology Journal, 10(1), pp.373-379.
2. Keertikumar, M., Shubham, M. and Banakar, R.M., 2015, October. Evolution of IoT in smart vehicles: An overview. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT) (pp. 804-809). IEEE.
3. Rashid, H., Ahmed, I.U., Osman, S.B., Newaz, B., Rasheduzzaman, M. and Reza, S.T., 2017, January. Design and implementation of a voice controlled robot with human interaction ability. In International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (Vol. 65, pp. 148-151).
4. Kannan, K. and Selvakumar, J., 2015. Arduino based voice controlled robot. International Research Journal of Engineering and Technology (IRJET), 2(01), pp.49-55.
5. Memon, Y.A., Motan, I., Akbar, M.A., Hameed, S. and Hasan, M.U., 2016. Speech recognition system for a voice controlled robot with real time obstacle detection and avoidance. International Journal Of Electrical, Electronics And Data Communication, 4(9), pp.33-37.
6. Basyal, L., Kaushal, S. and Singh, G., 2018. Voice recognition robot with real timesurveillance and automation. International Journal of Creative Research Thoughts, 6(1), pp.2320-2882.
7. Heo, S., Song, S., Kim, J. and Kim, H., 2017, December. Rt-ifttt: Real-time iot framework with trigger condition-aware flexible polling intervals. In 2017 IEEE Real-Time Systems Symposium (RTSS) (pp. 266-276). IEEE.
8. Kumar, A. and Sharma, S., 2021. IFTTT rely based a semantic web approach to simplifying trigger-action programming for end-user application with IoT applications. Semantic IoT: Theory and Applications: Interoperability, Provenance and Beyond, pp.385-397.
9. Yu, H., Hua, J. and Julien, C., 2021, November. Analysis of ifttt recipes to study how humans use internet-of-things (iot) devices. In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (pp. 537-541).
10. Shrivastava, A., Suji Prasad, S.J., Yeruva, A.R., Mani, P., Nagpal, P. and Chaturvedi, A., 2023. IoT Based RFID Attendance Monitoring System of Students using Arduino ESP8266 & Adafruit. io on Defined Area. Cybernetics and Systems, pp.1-12.
11. Hatem, A.S. and Abed, J.K., 2022, July. Design of Patient Health Monitoring Using ESP8266 and Adafruit IO Dashboard. In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-6). IEEE.
12. Kodali, R.K. and Mahesh, K.S., 2016, December. A low cost implementation of MQTT using ESP8266. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 404-408). IEEE.
13. Wicaksono, H., Sugiarto, I., Santoso, P., Ricardo, G. and Halim, J., 2022, December. Towards Autonomous Robot Application and Human Pose Detection for Elders Monitoring. In 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (pp. 772-776). IEEE.
14. Yilmaz, M., Yazici, A. and Cinar, E., 2021, December. Rdf-based semantic for condition monitoring of autonomous mobile robot. In 2021 2nd International Informatics and Software Engineering Conference (IISEC) (pp. 1-5). IEEE.
15. Al-Mashhadani, Z., Mainampati, M. and Chandrasekaran, B., 2020, December. Autonomous exploring map and navigation for an agricultural robot. In 2020 3rd international conference on control and robots (ICCR) (pp. 73-78). IEEE.
16. Thiyaneswaran, B., Elayaraja, P., Srinivasan, P., Kumarganesh, S. and Anguraj, K., 2021. IoT based air quality measurement and alert system for steel, material and copper processing industries. Materials Today: Proceedings.
17. Jayakrishna, A.P., Hariharan, R., Thilak, G. and Kathirvelu, V., DOMESTIC POWER SAVER USING PIC MICROCONTROLLER ARM.
18. Khan, A. and RS, D., 2022. Soldiers Health Monitoring and Position Tracking System. Cindiya and R, Deenan, Soldiers Health Monitoring and Position Tracking System (February 10, 2022).
19. Sasirekha, N., 2021. Pipe Cleaning Robot Using Microcontroller. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), pp.5493-5497.
20. Amutha, M., Kamali, S. and Sherli, T., 2022, June. Smart Manhole Managing and Monitoring System using IoT. In Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
21. Shanthi, T. and Sabeenian, R.S., 2019. Modified Alexnet architecture for classification of diabetic retinopathy images. Computers & Electrical Engineering, 76, pp.56-64.
22. Ravi, G. and Kashwan, K.R., 2015. A new routing protocol for energy efficient mobile applications for ad hoc networks. Computers & Electrical Engineering, 48, pp.77-85.
23. Manju, K., Sabeenian, R.S. and Surendar, A., 2017. A review on optic disc and cup segmentation. Biomedical and Pharmacology Journal, 10(1), pp.373-379.
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Published
Jun 1, 2023
Article Details
How to Cite
Sree Southry S, Vinayagapriya S, Yugendran K M, & Varshni Soundarya R. (2023). Telemetry Monitoring of An Environment Using Robot. Journal of Population Therapeutics and Clinical Pharmacology, 30(12), 263-270. https://doi.org/10.47750/jptcp.2023.30.12.031
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Sree Southry S, Vinayagapriya S, Yugendran K M, & Varshni Soundarya R. (2023). Telemetry Monitoring of An Environment Using Robot. Journal of Population Therapeutics and Clinical Pharmacology, 30(12), 263-270. https://doi.org/10.47750/jptcp.2023.30.12.031