Cryptography in general means hiding, while in technical terms cryptography means protecting data from unauthorized access of someone, or cryptography can be considered as a method that ciphers the data so that the data can neither be read nor understood by humans. With the increasing level of internet consumption, the security of our data is the main concern. Due to increasing cyber-attacks, and over-relying on the internet, a lot of users’ data has been compromised. This has brought our attention to data security and cryptographic algorithms. Data security ensures the data of users is not being compromised and is present in such a format that an intruder won’t get access to our data, it ensures that the data is accessible to the intended user only, and anybody else can neither read nor change the data. To achieve such security, some algorithms or processes are needed. One such algorithm can be derived using Morse code since data in Morse code uses dots and dashes to represent alphabets and numbers. Even if such encryption is used directly, it may cause some threat to the user’s data as anyone with knowledge of Morse code can easily decrypt it, so to get more safety, the encrypted data is needed to be encrypted again with some other algorithm. Now, other than data safety, the safety of the algorithm is also required, as if someone gets to know about the algorithm, they can decrypt the data. The Python programming language provides a module named Cryptography in which Fernet can be used to encrypt the algorithm file as well as the data file again. Cryptography in python uses a symmetric encryption technique, i.e., it uses the same key to encrypt and decrypt the data. This technique is faster compared to asymmetric techniques. This paper demonstrates how Morse code, time & Python’s Cryptography module can be used together to provide maximum data safety.

Data Encryption Using Morse Code

Starting from the background of the outbreak of New Coronavirus, in order to realize the function of automatically identifying the required items by machine, the support vector machine algorithm in the neural network and the traditional computer vision algorithm opencv were used. The software developed by pycharm and python programming language was used to compile automatically a software to identify whether the required items were filled out. And on the basis of completing the software, it is connected to the embedded device high-speed clapper. It is applied to Fuzhou Customs to help the customs staff review the health form and declaration card of inbound and outbound passengers, which not only saves the time of staff and passengers, but also contributes to the prevention and control of epidemic situation to a certain extent.

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Research on recognizing required items based on opencv and machine learning

In this paper, we built a Desktop Application for a new encoding method presented to help disabled Arabic-speaking people. The proposed encoding method depends on the direction of the pupil of the eye so that the most frequently used letters have the shortest codes. The language characters are converted into a sign of the direction of movement of the human eye's pupil. The proposed system is a text entry system consisting of three parts. The first part included a CNN-based algorithm for evaluating the direction of the eye pupil, and the second part was an algorithm for building an encoding triple tree to generate the symbol for Arabic letters, while the third part involved Translate codes to its corresponding letter. The system was tested by a number of well-trained participants. The accuracy of the system goes up to 99.3% while the system's sensitivity reached 88.5% and total specificity 99.6%. also SCR and MSD metrics are computed.

Arabic Code Generation based on Four Direction of Human Eye

https://iopscience.iop.org/article/10.1088/1742-6596/1921/1/012070/pdf

G Sumanth Naga Deepak

Papers

An Approach for Morse Code Translation from Eye Blinks Using Tree Based Machine Learning Algorithms and OpenCV