Journal article Open Access
K.P. Vijaya Kumar; G. Sai Teja; P. Akhil Teja
We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice. Keywords: Histogram Oriented Gradient (HOG), Artificial Neural Network (ANN), Confusion matrix.aThe agricultural sector, which is the powerhouse of Indian financial system, needs protection. Safety, not only in terms of infrastructure as well as in terms of agricultural commodities, requires assistance and support at a very preliminary stage, such as protection from attacks by rats or pests in farms or seed stores. These problems could also be carefully considered. The convergence of conventional technology with all the latest technologies including the IOT (internet of things) and the Wireless Signal Systems will contribute to ecological modernization. Taking this system in mind, we are investigating a baseband processor on the' Internet of Things' that will be able to analyze the detected knowledge and then communicating it to the client. In our present system, we address the actual obstacle of farmers and the threat of endangered species and pest harm utilizing detectors. In the existing system, many peasants are afraid of pests reaching the fields and absolutely killing the crop. It creates a financial loss for peasants when anticipating a benefit.