In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.

Digital image processing allows the use of much more complex algorithms for image processing, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.

Digital image processing allows the use of much more complex algorithms for image processing, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.

In particular, digital image processing is the only practical technology for:

Classification

Feature extraction

Pattern recognition

Projection

Multi-scale signal analysis

Some techniques which are used in digital image processing include:

Pixelization

Linear filtering

Principal components analysis

Independent component analysis

Hidden Markov models

Partial differential equations

Self-organizing maps

Neural networks

Wavelets

An artificial neural network (ANN), usually called "neural network" (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation.

In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. Modern neural networks are non-linear statistical data modeling tools. They are usually used to model complex relationships between inputs and outputs or to find patterns in data.

The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician Walter Pits. But the technology available at that time did not allow them to do too much.

Now doing research on wireless technologies like RF, Bluetooth,  and Ethernet technologies. Need to design a system that should control device remotely in Hazardous area. The system I have developed in my Master’s research program need to be refined, should be modified to meet the new wireless protocols standards.

The implementation of the Bluetooth stacks on board so that additional host processor code is not required. Once a connection to another Bluetooth device has been established, the link has the appearance of a cabled serial connection eliminating the need for special wireless protocol knowledge.

Simple UART communication facilitates the interface between the host processor and the Series eb100 radio. This UART interface may be used to discover, connect, and communicate with other Bluetooth devices.