Vision Inspection Solution for Glucose Quality

（1）Project Background
Because of the increasing importance of the safety of drugs and medical devices, the application of machine vision technology in the medical field has been improving.  For the quality detection of glucose liquid in this case, the traditional detection method is artificial detection.  The test shop is located in a separate darkroom, where the glucose liquid with the test is placed on the assembly line manually, the speed of the assembly line is controlled by the detection worker, when the medicine is transmitted to the detection worker, the worker takes it out of the assembly line and determines the product quality under the special light box.  Artificial detection has a lot of disadvantages, it is difficult to meet the pipeline detection speed can not achieve real-time, online, non-contact detection detection;  More unable to adapt to modern quality control and statistical process control.

（2）Vision Inspection Solution for Glucose Quality

POMEAS 1MP FA lens PMS-7528M

POMEAS gigabit count 5 MP CCD FA camera 
POMEAS LED surface light
 IPC：I5CPU 4G Memory
 Machine vision inspection software system based on POMEAS independent development 

     
（3）Detection Content
The suspended substance in the glucose solution, such as the not tolerate impurity glass fiber, etc.;  The defect of the bottle;  The bottle has not clean clean dirty.
（4）Principle of Detection
The quality detection of glucose liquid medicine based on machine vision technology can achieve non-contact detection, and the traditional manual detection has significant improvement in drug safety and detection precision.  According to the characteristics of glucose impurity detection, a special visual imaging scheme is designed.

As shown in the figure, the glucose bottle to be detected is stuck in the bed, rotating the bed to rotate the bottle high speed rotation, the special led surface light source for machine vision is installed in the light source box, and the CCD industrial camera transmits the captured image to the industrial control computer.  In this process, multiple images are taken continuously, and the moving targets are recognized in the moving image of the sequence.  When the identified target exceeds the specified admissible indicator, the bottle of liquid medicine is judged to be unqualified.  

 The image acquisition part will complete the motion image acquisition on the pipeline, and the quality of the image acquisition part will directly affect the whole detection efficiency.  The image acquisition part is mainly completed by the CCD industrial camera.  The CCD industrial lens takes the image signal, and the image signal is collected by the image acquisition card.  Two cameras with two bearings are used to detect objects, one is a cepai bit, and some objects to be detected can be detected in a multi-directional way.