Meat freshness degree is an important parameter while evaluating the quality and the price of the meat. Traditional method needs too long time to evaluate the meat on line in the meat slaughterhouse. To improve this situation, a system with potentiality of integrating miniaturized spectral camera is developed and tested in the practical situation. The results show that the system does not only improve the efficiency of meat grade evaluation procedure but also improve the accuracy compared with the method applied now.
Spectral imaging is a technique which enables the ability of detecting the target by un-contact measurement with both imaging and spectral feature in every pixel inside the image. In this way, spectral imaging device is able to collect more detailed information than traditional RGB camera and hence classify the objects into a more precise category. Environment surveillance is a vital step in the environment protection in the terms of advance warning, pollution area measurement, pollution identification, emergency response and response effectiveness evaluation. In this case, a measurement with a large surveillance area and the capacity of recognizing the target object will be preferred in this application especially for the country with large land area such as China. In this paper, a solution based on the miniaturized spectral imaging system is proposed and the practical experiment has been performed. The result shows that the proposed system is able to be installed in a small UAV and work in an altitude up to 1.7 km.
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