Drug sorting is a complex and critical task in the pharmaceutical industry. The traditional manual sorting method requires a lot of manpower and time, and is prone to errors. However, with the continuous development of machine vision technology, an automated drug sorting process can be realized, greatly improving accuracy and efficiency, and reducing labor costs.

1. Application of machine vision in drug sorting
Machine vision technology can be applied to multiple aspects of drug sorting, such as drug identification, classification and positioning. Using high-resolution cameras and advanced image processing algorithms, machine vision systems can accurately identify and differentiate different drugs. At the same time, it can also classify and locate drugs according to the set rules and standards, thereby realizing an automated sorting process.

2. Improve accuracy and reduce errors
Compared with traditional manual sorting methods, machine vision has significant advantages in drug sorting. Since the machine vision system can accurately identify drugs in real time and classify them according to preset standards, the accuracy of sorting is greatly improved. Unlike manual operations, machine vision systems are not affected by factors such as fatigue and distraction, reducing errors caused by human factors.

3. Improve efficiency and reduce costs
Machine vision technology can also improve efficiency and reduce costs in drug sorting. Through the automated sorting process, the machine vision system can quickly and continuously process a large amount of medicines, greatly improving the efficiency of sorting. In addition, the operating cost of the machine vision system is relatively low, which can save human resources and reduce labor costs.

The application of machine vision in drug sorting has significant advantages. By precisely identifying and differentiating medicines and automatically sorting and locating them, machine vision systems can improve the accuracy, efficiency and cost-effectiveness of sorting. Although there are still some challenges, with the continuous development of technology, it is believed that the application of machine vision in the field of drug sorting will become more mature and bring more benefits and competitive advantages to the pharmaceutical industry.