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Real time quality detection of beef is a necessity for food industry. The objective of the research was to establish a real-time system for quality detection of beef using hyperspectral technology. Hyperspectral technology contains both spectral and spatial information. The system had two parts: the hardware and control software. The hardware mainly consists of sensor and signals transmission circuit. The software mainly had signal receiving system, camera control, image processing algorithm and prediction model. A secondary development was performed to hyperspectral camera SenciCam. In this research, light scattering profile analysis method was used to access beef quality. In order to improve the time effectiveness of spectral processing, multispectral technology was used with the developed prediction model. Suitable number of scattering lines was acquired to gather enough information in this system. Presence of sample generated signal from sensor. This signal was input signal for automatic triggering of camera. Information from image thus acquired was used to classify beef samples according to their quality. The research shows that the hyperspectral system can be used for on-line quality detection of beef, rapidly and non-destructively.