In the PCB manufacturing industry, 2D codes are used to record production time, Bit batch numbers, test information, etc. For the core module PCB, the traceability requirements of the whole process have moved from the user side to the production side. As a core traceability method, 2D codes recognition on PCB has been popularized in various production processes. With the continuous increase of barcode information content and the continuous reduction of barcode specifications, the requirements for barcode reading are becoming more and more stringent. There are many difficulties in completing stable and accurate code reading during the production process.
Intelligent Barcode Readers
In recent years, Hikrobot has designed and developed a series of intelligent barcode reader products, the ID series, relying on the accumulation of technology in the fields of image processing, hardware design and image recognition algorithms. The products have been recognized for their decoding capabilities and performance in harsh environments (protection level reaches IP67), and have been widely used in 3C electronics, auto parts, food and medicine packaging, logistics and other automation fields. Each product has its own characteristics, and choosing the right model for different scenarios can give full play to the advantages of the product. Take the ID5000 series as an example. It is a full-featured fixed industrial barcode reader, equipped with a multi-core deep learning core processor, with low power consumption, ultra-high frame rates. The high resolution and large field of view can easily identify very small barcodes. The decoding algorithm supports the identification of DPM codes of different materials, effectively copes with damaged barcodes, low contrast, and poor printing quality.
Requirements and Solutions
The manufacturing process of PCB is very complicated, generally requires more than dozens of procedures, and has strict requirements on the field of view of the barcode reader, the installation space, and the setting of the light source. The ID series provides corresponding product models and solutions for different processes of PCB manufacturing. Due to the limitations of the manufacturing environment and some force majeure factors, sometimes the barcode will appear blocked, ink overflow, small quiet zone, two-coloured code, low contrast. The ID series is equipped with a multi-core deep learning core processor and self-developed deep learning algorithm, which can easily solve the above interference and ensure the accuracy of code reading. For different batches of products in the same process, there may be changes in material, colour, and coding position, which affect the recognition effect. Therefore, the intelligent code readers can automatically switch to the optimal parameters through the function of multiple sets of parameter polling. In the continuous upgrade process of product lines in different industries, various functional requirements will be generated, such as judging whether the PCB passes, judging the direction when the PCB passes, and offline analysis of no-read images.
Conclusion
The ID series can efficiently and accurately complete data collection, track and record the production status of the product, establish one-to-one data associations and achieve basic information collection for the traceability of the entire PCB production process. The whole process does not require manual intervention, and adopts non-contact identification, which is stable and objective, and the process is standardized. Through data visualization and big data analysis, improve the efficiency of enterprise operation and management. The high-performance configuration and deep learning algorithms can easily solve various interferences and ensure the accuracy of code reading. It can provide customized services for different customers to ensure production needs.
