Packaging Analytical Monitoring System for Heat Sealed Packages

The seal integrity of packages is crucial to assure product viability and shelf life.

The break of the seal can lead to foodcontamination, degradation and leaks, causing economic losses and brand reputation damage.

There is no method toquickly detect sealing flaws or understand why they have occurred. 3% of heat-sealed packages are defective.

The currentmethodology is sampling, which generates waste, products recall, unsafety and unreliability.We have developed the PAM2 System, Packaging Analytical Monitoring system, a disruptive quality control machine thatanalyses all the products in a batch via 3D thermal imaging and advanced real time algorithms to provide complete in-linemonitoring of the sealing process.

PAM2 screens 100% of the products in a non-destructive manner without slowing the linecapacity.

Our Deep Learning algorithms collect precise data to increase the understanding of the process, improve quality,allow operators to detect and amend issues in real-time and detect patterns, such as those cases in which the sealed area istoo close to the limit set by the user.In 2016, we founded Yoran Imaging to start developing the PAM2 System.

We have already performed Proof-of-Concept ofour prototypes in major food companies, received the CE mark and have sold machines.

Currently, we are pursuing theimplementation of Deep Learning in order to become an Industry 4.0 enabler platform in the primary packaging area.We are set to serve within the food manufacturing industry, with around 300,000 food and drink manufacturing companies inEurope contributing towards the sectors total turnover of €1,109 billion with a value-added total of €230 billion.

Moreover, thepackaging machinery industry within Europe has over 6,000 enterprises producing packaging, which accounted for €13.5billion in 2017.