Optical Character Recognition using Opencv | Python


Optical Character Recognition using Opencv

Obtrusive Sleep Apnea (OSA) is one of the most important sleep disorders because it has a direct adverse impact on the quality of life. Intellectual deterioration, decreased psychomotor performance, behavior, and personality disorders are some of the consequences of OSA. Therefore, real-time monitoring of this disorder is a critical need in healthcare solutions. There are several systems for OSA detection. Nevertheless, despite their promising results, these systems do not guide their treatment. ECG data are gathered using a wearable monitoring node and are transmitted directly to the IoT cloud using Wi-Fi. Both the HTTP and MQTT protocols are employed in the IoT cloud in order to provide visual and timely ECG data to users. Nearly all smart terminals with a web browser can acquire ECG data conveniently, which has greatly alleviated the cross-platform issue. Experiments are carried out on healthy volunteers in order to verify the reliability of the entire system. Experimental results reveal that the proposed system is reliable in collecting and displaying real-time ECG data, which can aid in the primary diagnosis of certain heart diseases.


  • The existing version of this project was executed using the Zigbee protocol.
  • It is difficult to monitor after a certain range.


  • The proposed version of this project is done using IoT technology.
  • The cloud used here is thingspeak and MQTT is the protocol used here.
  • It is easy to monitor from anywhere.


    • Node MCU
    • MEMS
    • Sound sensor
    • ECG Sensor


    • Arduino IDE
    • Thingspeak
    • MQTT

    Optical Character Recognition using Opencv


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    • M. Cano-Garcia, E. Gonzalez-Parada, V. Alarcon-Collantes and E. Casilari-Perez, ?A PDA-based portable wireless ECG monitor for medical personal area networks,? in Proc. MELECON, 2006, pp. 713?716.
    • K. L. Hui, R. S. Sherratt and D. Diaz Sanchez, ?Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies,? Future Generation Computer Systems, vol. 76, pp. 358? 369, Nov. 2017.

    Pantelopoulos and N. G. Bourbakis,?A survey on wearable sensor-based systems for health monitoring and prognosis,? IEEE Trans. Syst. Man, Cybern. B., vol. 40, no. 1, pp. 1?12, Jan. 2010

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