Image Tracking for the High Similarity Drug Tablets Based on Light Intensity Reflective Energy and Artificial Neural Network

Abstract

It is obvious that tablet image tracking exerts a notable influence on the efficiency and reliability of high-speed drug mass production, and, simultaneously, it also emerges as a big difficult problem and targeted focus during production monitoring in recent years, due to the high similarity shape and random position distribution of those objectives to be searched for. For the purpose of tracking tablets accurately in random distribution, through using surface fitting approach and transitional vector determination, the calibrated surface of light intensity reflective energy can be established, describing the shape topology and topography details of objective tablet. On this basis, the mathematical properties of these established surfaces have been proposed, and thereafter artificial neural network (ANN) has been employed for classifying those moving targeted tablets by recognizing their different surface properties; therefore, the instantaneous coordinate positions of those drug tablets on one image frame can then be determined. By repeating identical pattern recognition on the next image frame, the real-time movements of objective tablet templates were successfully tracked in sequence. This paper provides reliable references and new research ideas for the real-time objective tracking in the case of drug production practices.

Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models

“…For the sake of stability and accuracy, the grid scheme 3, with the unit size of 0.25 mm, was eventually selected out for the numerical calculations and machining description, because it returns a more reliable simulation by showing the lowest sensitivity and highest precision in different evaluation indexes. A more detailed description of grid selection can also be learned from the literature published before (Liang, Zhou, Liu, & Wang, 2014), and the rest of simulation settings was reported by Table 4. In view of the obtained results, a satisfactory grid keeps a reasonable balance between accuracy, calculation efficiency and computational cost.…”