ABSTRACT

The study about the human–crow relationship is the purest form of affection and love. In India, the crow population is estimated at around 19 million. Penetrating into the minds of the birds is still challenging, and research has to be scaled more for human–crow conversation. Block technology technique in an intelligence system that helps to read the mind of the crow and makes improvising by extracting the features of the crow’s eyeballs movement, mouth movement, face value, left eye movement, right eye movement, mouth expansion, and mouth shrink. Extraction of the pixel value is considered as input, and we have trained the system using multilayer perception, radial basis function, and support vector model. The desired output is verified for accuracy by comparing the values with the standard statistical values as defined by the veterinary doctors. The proposed system implements a voice blockchain technique 14and sensor technology with radio frequency identification (RFID) to detect signal variations. The multilayer perception and radial basis function were implemented in two different tools; SPSS and JustNN tool. The output of both algorithms is based on statistical measures compared and encrypted using blockchain technique. The concluded output is again converted into speech to humans for better understanding.