Conclusion

The identification system of face expression presented in this research work leads to a robust model of facial recognition based on the mapping of morphological traits with bio-metric identifiers. The human face's physiological characteristics with pertinence to expressions such as joy, sorrow, dread, frustration, amaze, as well as revulsion are correlated with geometric structures that are used in the detection system as the primer matching template. Compression is then performed via inbuilt python libraries to reduce the size and other color and chroma components.Finally, transmission takes place through secure introspectable virtual tunnels via ngrok thereby completing the communication of media via multiple nodes.

This system's behavioural dimension illustrates that this can be used as the foundation of property behind different interpretations in other systems.In contrast with earlier authentication systems, creating a novel cryptosystem based on facial recognition removes the use of passwords and smart cards. Although, as with any other biometric authentication device, it needs special hardware compatibility. ⠀ ⠀