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Abstract. The dynamic weighing system is used to measure the weight of eggs in motion for automatic quality inspection and grading. It is difficult to obtain the precious weight of rolling poultry eggs online from the weighing rail in a short time, due to disturbances generated by different rolling state and speed as well as the egg mass and shape. An innovative mass estimator which is suitable for embedded devices was proposed to process weighing signals online. This research presented a sorting-based mass estimator (SME) that is consisted of a finite impulse response (FIR) digital filter and asymmetrically trimmed mean. In this estimator, the FIR filter was designed for removing high-frequency disturbances, and the median was used as a reference to intercept the stationary signal from a sorted sequence of weighing signal. To make algorithms work on the online dynamic weighing equipment, an data acquisition and processing platform with capabilities of data acquisition, advanced signal processing, and pulsed signal triggering based on the Digital Signal Processor (DSP) was designed and implemented. Furthermore, a C#-based software was developed to save weighing data and calculate parameters of algorithms. The results demonstrated that almost all of the egg weighing errors were less than 1g with different processing speed (3~5 eggs s-1).