Abstract: A process, product, and system for detecting a defective vacuum in a packaged product. The process may include providing a packaged product including a product enclosed within a packaging article. The packaging article may include a film having at least one layer containing a fluorescence-based indicator. The process may further include exposing the packaged product to incident electromagnetic energy to produce an excited fluorescence-based indicator, such that the excited fluorescence-based indicator emits fluorescent electromagnetic energy; and determining, based on the fluorescent electromagnetic energy emitted by the excited fluorescence-based indicator, that gas is present within the packaging article.

Abstract: Vacuum seal packages can be classified based on image data. Training image data is received that includes image data about first vacuum seal packages. Labels associated with the first vacuum seal packages are received, where each of the labels includes a state of one of the first vacuum seal packages. A trained classification model is developed based on the training image data and the received labels. Image data representative of a second vacuum seal package is received. The image data is inputted into the trained classification model, where the trained classification model is configured to classify a state of the second vacuum seal package based on the image data. The state of the second vacuum seal package is received from the trained classification model.

Abstract: A process for monitoring seal quality of a packaging article. In one embodiment, the process for monitoring the seal quality includes sealing a film to form packaging article and forming a seal area. The seal area is analyzed by a vision system to acquire image data of the seal area. A vision inspection engine analyzes the image date to determine the continuity of the seal, the strength of the seal, or both.

Abstract: A process, product, and system for detecting a defective vacuum in a packaged product. The process may include providing a packaged product including a product enclosed within a packaging article. The packaging article may include a film having at least one layer containing a fluorescence-based indicator. The process may further include exposing the packaged product to incident electromagnetic energy to produce an excited fluorescence-based indicator, such that the excited fluorescence-based indicator emits fluorescent electromagnetic energy; and determining, based on the fluorescent electromagnetic energy emitted by the excited fluorescence-based indicator, that gas is present within the packaging article.

Abstract: Meat products can be classified based on image data. Training image data is received that includes image data about first meat products. Labels associated with the first meat products are received, where each of the labels includes a type of one of the first meat products. A trained classification model is developed based on the training image data and the received labels. Image data representative of a second meat product is received. The image data is inputted into the trained classification model, where the trained classification model is configured to classify a type of the second meat product based on the image data. The type of the second meat product is received from the trained classification model.

Abstract: Vacuum seal packages can be classified based on image data. Training image data is received that includes image data about first vacuum seal packages. Labels associated with the first vacuum seal packages are received, where each of the labels includes a state of one of the first vacuum seal packages. A trained classification model is developed based on the training image data and the received labels. Image data representative of a second vacuum seal package is received. The image data is inputted into the trained classification model, where the trained classification model is configured to classify a state of the second vacuum seal package based on the image data. The state of the second vacuum seal package is received from the trained classification model.