Technical Solution

● Alita software controls the experimental process, process parameters can be edited, and the order can be reorganized;

●The robot communicates with Alita and performs detection actions based on the obtained task information, passing samples and vessels back and forth at different detection stations;

● Liquid addition system: no bubble generation, accurate to 0.1ml, accuracy of 0.5%;

● Vision system: AI algorithm, precisely identify chemical reaction phenomena such as color, flocs, and stratification.And communicate the results with Alita.

Application scenarios

The adulteration type of raw milk is used to determine the freshness by adding specific reagents and raw milk reactions, observing color changes or flocs, and whether preservatives, water, etc. are added.

Program display

Origin: ZQ-Automation