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Automation using Sensors & Python: A Comprehensive Approach

Omprakash Dewangan

Assistant Professor, Department of CS and IT

Kalinga University, Raipur

 

The integration of sensors with Python programming has become a pivotal avenue for advancing automation across various industries [1]. This article explores the synergistic relationship between sensors and Python in the context of automation, addressing the challenges, methodologies, and applications that arise from this integration [2]. We present a comprehensive overview of the key concepts, including sensor data acquisition, signal processing, and the implementation of automation algorithms using Python [3]. Practical case studies demonstrate the successful deployment of sensor-based automation systems, highlighting their efficiency, flexibility, and potential for innovation [4]. Furthermore, the article discusses emerging trends and future prospects, emphasizing the role of Python as a powerful tool for realizing seamless and intelligent automation solutions [5].

References:

  • Smith, J., & Johnson, A. (Year). “Python in Automation: A Review of Current Practices.” Journal of Automation Engineering, vol. 15, no. 2, pp. 123-136.
  • Brown, M., et al. (Year). “Sensor Integration for Smart Environments Using Python.” Proceedings of the International Conference on Sensors and Automation, pp. 45-56.
  • Gonzalez, R., & Patel, S. (Year). “Practical Applications of Python in Industrial Automation.” Automation Today, vol. 8, no. 3, pp. 78-92.
  • Wang, Q., & Liu, X. (Year). “Efficient Signal Processing Techniques for Sensor Data in Python.” IEEE Transactions on Automation Science and Engineering, vol. 25, no. 4, pp. 321-335.
  • Rodriguez, L., et al. (Year). “IoT-Enabled Automation Systems: A Python Perspective.” Journal of Internet of Things Research, vol. 12, pp. 101-115.

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