If one wanted to detect a dog, one could train the system with images of tens of thousands of dogs and when the next dog comes into the scene the system would recognize it. However what happens when you want to detect whether a person is about to commit suicide in a prison? How does one generate a data set with tens of thousands of images of persons about to commit suicide?

The human brain operates at a much more sophisticated level. Humans exercise many different types of thinking beyond using their memory function. Over decades of experience in AI, iOmniscient has developed algorithms that emulate many of these different ways that human think. Deep Learning has its place in the AI schema. However, by converging it with the many other types of AI algorithms that iOmniscient has developed, the system:

Is very computing light and does not require GPUs.
Requires a minute training data set greatly reducing the cost of labelling and training.
Is quick to deploy as the user does not have to spend weeks and months training the system.

This is just one way that iOmniscient systems do more with less – they can be less expensive to deploy than even simple recording systems.