Artificial neural networks
can be trained to perform specific tasks by showing them how to respond to
particular examples. When this technique is combined with machine vision
technology, powerful systems result that can learn visual tasks such as
inspection and control.
networks are computer models of simple brains. An artificial neural
network contains many simple processing elements that, like natural neurons,
learn to solve particular tasks.
There are many types of
artificial neural networks, designed to mimic different capabilities of natural
neural networks. Some artificial neural networks are designed purely to
solve particular types of problems and bear little or no resemblance to natural
A feed-forward artificial neural network is designed to look at an input
pattern and respond with a particular output. It is trained to perform a
task by presenting it with example patterns of inputs and outputs. The
network is trained to reproduce the example outputs when presented with the
corresponding inputs. After training, the network can perform the task
for new inputs that it has never seen before.
The network consists of
perform simple calculations, and connecting
weights between the nodes.
Training adjusts the connecting weights so that the network produces the
correct responses to the example inputs.
Feed-forward neural networks
have been successfully applied to a wide variety of tasks including driving a
vehicle, detecting abnormal cells in images, and financial prediction.
Neural Networks and Machine Vision
The incorporation of Artificial Neural Networks in Machine Vision Systems
provides systems that can be trained by showing them examples of the visual
properties they are to identify. Hamey Vision Systems have used this
powerful combination of techniques to develop a
biscuit bake inspection system in collaboration with
Access Macquarie Ltd and the CRC for International Food Manufacture and
Packaging Science. The systems can be trained by showing it examples of
biscuits with different bake levels. This makes the system easy to use
and flexible, able to work with a wide variety of products.