18650 battery is the most widely used battery in the battery industry, because of its compact appearance, lightweight weight, high energy density, long life and other characteristics are popular. However, in the process of producing batteries, the coding on the battery body has become a link that staff must carefully check.
The traditional cell code printing detection method requires staff to manually check whether the code printing on the cell is clear, complete, and correct. This work requires a lot of manpower and time resources. At the same time, human error will also increase the accuracy and efficiency of cell detection. This will not only reduce production efficiency, but also increase production costs.
In order to solve this problem, OCR character detection technology came into being. It uses the principle of optical image recognition to convert battery code code into digital code for identification, automating the detection of battery code. OCR character detection technology can scan a large number of pictures and accurately identify the code code on the battery in less than a second, avoiding the fatigue and errors caused by workers 'visual inspection.
The code code on the 18650 battery body is identified through OCR character detection technology. When the identified battery code code error, the program will automatically trigger an alarm and promptly notify the staff to inspect and replace defective products. At the same time, because inkjet ink is easy to dry, the automatic detection system will set special settings for detection. If too much or too little ink is sprayed, it will automatically alarm to prompt the replacement of the inkjet head or check whether the ink tube is sufficient to ensure the normal operation of the production process.

Automatic detection systems can count the number of defective products and feed back these error information to other equipment, such as systems such as ERP (Enterprise Resource Planning) or MES (Manufacturing Execution System) managed by the manufacturing industry, which will help companies control their own production processes. Take full control of the process. Statistics the rate of defective products is reported in a timely manner, and the machine learns and records effective information on its own, providing a very effective tool for manufacturing companies, greatly saving factory resources and optimizing the production process.
Therefore, the application of OCR character detection technology can not only help enterprises improve production efficiency, but also effectively improve product quality, shorten production cycles, avoid unnecessary losses, accelerate the pace of enterprises improving and optimizing production processes, improve production efficiency, and enhance enterprises. Competitiveness.
In short, OCR character detection technology is an important part of modern industrial production, and its application range is becoming wider and wider. For the electronics manufacturing industry, it seems to be omnipotent. It can not only improve product quality, but also reduce production costs. It is an indispensable production tool for enterprises. With the continuous development of technology, there is still much room for development in OCR character detection technology. There is no doubt that it will become one of the key technologies in automated production in the future, promoting the development and growth of smart factories.



