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The Packaging Industry's Secret: How AI Packaging Quality Control Are Cleaning Up the Mess

The Packaging Industry's Secret: How AI Packaging Quality Control Are Cleaning Up the Mess

Overview

Packaging plays a crucial role in maintaining the quality of perishable products, such as biscuits, and ensuring that the packaging is properly labeled is equally important for regulatory compliance and consumer safety. To achieve this, manufacturers can utilize optical character recognition (OCR) and label detection during the packaging inspection process.

OCR technology enables the automated extraction of information from labels, allowing for accurate identification and tracking of each product package. This technology can also verify that the correct product and packaging information are accurately displayed on the labels, such as batch number, expiration date, and nutritional facts that can be commonly found on food products.

Label detection can also be used to verify if labels are properly applied to packages. This technology can identify if the label is missing or misplaced, ensuring that every package is correctly labeled before it leaves the production facility.

By implementing OCR and label detection in packaging inspection, manufacturers can improve the accuracy and efficiency of their quality control process. This ensures that each package meets regulatory standards and provides consumers with the necessary information to make informed purchasing decisions.

Use cases

Example of packaging and label inspection process
Figure 1. Example of packaging and label inspection process

Example of LOT number inspection
Figure 2. Example of LOT number inspection

Slika3
Figure 3.  Example of label placement inspection

Approach

  1. Detecting Defective Packaging: Vision systems can detect defective packaging, such as damaged or incorrectly sealed packaging. This ensures that only products with intact and properly sealed packaging are released into the market, reducing the risk of product recalls and improving customer satisfaction [Figure 1 and 3].
  2. Identifying Product Packages: Vision systems can be trained to identify different types of product packages, such as size, shape, and color. This information can be used to ensure that the correct product is being packaged in the correct container, reducing errors and improving product consistency [Figure 1].
  3. Monitoring Production Lines: Sensors can be used to monitor production lines for any disruptions, such as clogging or equipment failure. This enables manufacturers to quickly identify and resolve issues, ensuring minimal downtime and reducing the risk of product quality issues.
  4. Controlling Filling and Sealing: Vision systems and sensors can be used to control filling and sealing processes, ensuring that the correct amount of product is dispensed, and the package is correctly sealed. This reduces the risk of under-filled or over-filled packages, and ensures product consistency.
  5. Ensuring Regulatory Compliance: Vision systems and sensors can be used to ensure compliance with regulatory requirements, such as labeling and packaging standards. By automating the quality control process, manufacturers can ensure that their products meet all regulatory requirements, reducing the risk of fines and penalties [Figure 2 and 3].

Results

Implementing automated quality inspection has several benefits for manufacturers. It reduces the risk of human error and improves the consistency and accuracy of the quality control process. By delegating tedious quality control tasks to automated systems, workers can be shifted into more qualified positions. This improves employee satisfaction and creates new opportunities for current and future workers.

Conclusion 

In conclusion, the use of OCR and label detection technology in the packaging inspection process has become increasingly important for manufacturers of perishable products, such as biscuits. By implementing these technologies, manufacturers can improve the accuracy and efficiency of their quality control process, ensuring that each package meets regulatory standards and provides consumers with the necessary information to make informed purchasing decisions. Additionally, the implementation of automated quality inspection has several benefits for manufacturers, including the reduction of human error and improvement in the consistency and accuracy of the quality control process. By utilizing automated systems, workers can be shifted into more qualified positions, improving employee satisfaction and creating new opportunities for current and future workers. Ultimately, the adoption of these technologies can lead to a reduction in product recalls, improved customer satisfaction, and increased profitability for manufacturers.

Do you want to know more about how AI affects biscuit industry?
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Protostar Labs

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