Optimum detectors for artificial object recognition

Lead Research Organisation: University of St Andrews
Department Name: Physics and Astronomy

Abstract

Current digital cameras have a linear response and are only really suitable for simple picture imaging under controlled light conditions. In fact compared to human vision these cameras have two critical and debilitating limitations, a limited dynamic range and variability in object colour. The first of these limitations causes saturation when the dynamic range of a scene is larger than that of the camera. The second limitation is subtler and means that unlike human vision it is difficult to use colour information from linear cameras in artificial object recognition systems. Both these limitations can be overcome using pixels with a relatively narrow spectral response and an output that is proportional to the logarithm of the detected photocurrent. We intend to overcome these limitations by developing a new camera technology based upon organic photodiodes and a logarithmic response.

Publications

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Description The grant explored the use of organic semiconductors and related materials to make improved photodetectors. In particular we explored whether dendrimers could be used to make spectrally selective photodetectors. We demonstrated that this was possible and that such materials could emulate the eye response giving them the potential to improve colour recognition in machine vision. In addition we found a simple way of extending the spectral response of a silicon photodiode into the ultraviolet and observed a novel lgiht-rechargeabel battery effect.
Exploitation Route The materials could be taken forward by chemical companies, whilst the devices made from them are relevant to electronics, ICT and machine vision.
Sectors Chemicals,Digital/Communication/Information Technologies (including Software),Electronics