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.
Multispectral imaging technology is an advanced imaging method to acquire both spatial and spectral information in the image. Miniaturized spectral imaging system based on CMOS sensors integrated with Fabry-Perot interferometer makes it convenience for people to get the multispectral image outdoor because of the low-cost, high speed, especially compact size. However, the parasitic effects of the system makes the spectrum deviating from the ideal, applications for classification and recognition based on spectral information are limited. Hence, spectrum reconstruction method is applied to calibrate objects toward domain-specific with priori knowledge. And the experiment with test samples independent of the training data shows that, the MSE improves more than 20% compared with the raw data measured by the multispectral camera.
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.
In the field of trace gas measurement, with the characteristics of high sensitivity, high selectivity and rapid detection, tunable diode laser absorption spectroscopy (TDLAS) is widely used in industrial process and trace gas pollution monitoring. Herriott cell is a common form of multiple reflections of the sample cell, the structure of the Herriott cell is relatively simple, which be used to application of trace gas absorption spectroscopy. In the pragmatic situation, the gas components are complicated, and the continuous testing process for a long time can lead to different degree of pollution and corrosion for the reflector in the sample cell. If the mirror is not cleaned up in time, it will have a great influence on the detection accuracy. In order to solve this problem in the process of harsh environment detection, this paper presents a design of the built-in sample cell to avoid the contact of gas and the mirror, thereby effectively reducing corrosion pollution. If there is optical pollution, direct replacement of the built-in optical sample cell can easily to be disassembled, and cleaned. The advantage of this design is long optical path, high precision, cost savings and so on.
The spectral imaging technology is able to analysis the spectral and spatial geometric character of the target at the same time. To break through the limitation brought by the size, weight and cost of the traditional spectral imaging instrument, a miniaturized novel spectral imaging based on CMOS processing has been introduced in the market. This technology has enabled the possibility of applying spectral imaging in the UAV platform. In this paper, the relevant technology and the related possible applications have been presented to implement a quick, flexible and more detailed remote sensing system.
To break the limitation of the traditional spectral analysis system in low speed, high cost and huge size, this paper presents a CMOS-based monolithically miniaturized spectral system whose core component is the spectral imager. The idea of the spectral imager is to fabricate a spectral filter on top of the traditional CMOS imager. This paper designed a FP thin film filter consisted of Bragg stack as a mirror while both the material and the process is compatible with the CMOS imager fabrication. By the simulation, the filter is able to achieve a 2nm spectral resolution, which is a proof for the feasibility of the miniaturized spectral analysis system.
Pipeline leakage is a complex scenario for sensing system due to the traditional high cost, low efficient and labor intensive detection scheme. TDLAS has been widely accepted as industrial trace gas detection method and, thanks to its high accuracy and reasonable size, it has the potential to meet pipeline gas leakage detection requirements if it combines with the aerial platform. Based on literature study, this paper discussed the possibility of applying aerial TDLAS principle in pipeline gas leak detection and the key technical foundation of implementing it. Such system is able to result in a high efficiency and accuracy measurement which will provide sufficient data in time for the pipeline leakage detection.