The WISARD recognition system invented at Brunei University has been developed into an industrialised product by Computer Recognition Systems under licence from the British Technology Group. Using statistical pattern classification it already shows great potential in rapid sorting, and research indicates that it will track objects with positional feedback, rather like the human eye.

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Humans are endowed with the facility to perceive colour. This not only provides an additional aesthetic dimension but also helps perform visual tasks efficiently.There are many occupations, including inspection, not open to those with defective colour vision. Todays machine vision systems are virtually all colour -blind. Yet there are applications where colour is intrinsic. Consider for example the inspection and grading of fruit, vegetables, biscuits and other food products. Consider also the widespread use of colour coding for wiring and components in the electrical and electronic industries.Automatic optical inspection of such things cannot be done without relating to colour.There are other applications where colour is not directly relevant but the additional information provided can help simplify and speed up the processing task.This paper reviews the nature of colour, relating the psychophysical aspects of colour perception and the physical properties of available sensors to the needs of an automatic inspection system. The theory of colour perception is based on the tri-stimulus theory which says that any colour may be matched using appropriate proportions of three primary colours.

Simulation is a recognized and much-appreciated tool in healthcare and education. Advances in simulation have led to the burgeoning of various technologies. In recent years, one such technological advancement has been Augmented Reality (AR). Augmented Reality simulations have been implemented in healthcare on various fronts with the help of a plethora of devices including cellphones, tablets, and wearable AR headsets. AR headsets offer the most immersive experience of the AR simulation as they are head-mounted and offer a stereoscopic view of the superimposed 3D models through the attached goggles overlaid on real-world surfaces. To this effect, it is important to understand the performance capabilities of the AR headsets based on workload. In this paper, our objective is to compare the performances of two prominent AR headsets of today, the Microsoft Hololens and the Magic Leap One. We use surgical AR software that allows the surgeons to show internal structures, such as the rib cage, to assist in the surgery as a reference application to obtain performance numbers for those AR devices. Based on our research, there are no performance measurements and recommendations available for these types of devices in general yet. AR in Nursing EducationWuller et. al. have reviewed existing AR research to assist nursing education [30]. Foronda et. al. have described 3 types of AR applications used to supplement nursing education