Learns the mapping from a preform design to the product it becomes.
In developmentStartup
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Updated Sept 27, 2026
Packaging machinery covers the equipment that forms a container, and the control that keeps it in spec. On Halo, the solutions cover designing a PET container with a model, finding a defect on the line, injection molding control, and blow molding hardware. Sign up to search the full network and post your specific need.
Designing a PET container with a model
KS
Comnext, Inc (acquired by Zionex and became Zionex Japan in 2013)
A deep network predicts preform geometry and the process settings together.
In developmentStartup
AB
Iowa State University
A NURBS-aware model that runs the prediction in either direction.
In developmentUniversity
Predictive analytics applied to extrusion blow molding for PET.
In developmentSupplier
NZ
University of Washington
Physics-informed probabilistic learning, carrying the process uncertainty.
ConceptualUniversity
PG
West Virginia University
A knockoff framework that controls false discovery in variable selection.
ConceptualUniversity
The University of Melbourne
Bayesian optimization with a Gaussian process, and a human in the loop.
ConceptualUniversity
Lambton College
Historical preform designs and outcomes, used to cut the manual work.
ConceptualUniversity
TP
Saskatchewan Polytechnic
Predicts the composition, stretch rate and heating profile to set.
ConceptualUniversity
Finding a defect on the line
Real-time thermal profiling and deep learning on thick-walled containers.
In developmentUniversity
University of Manitoba
Thermal and normal imaging together, to raise the contrast on a defect.
In developmentUniversity
LW
Thermal imaging aimed at the heat-related faults blow molding produces.
In developmentUniversity
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Who is working on packaging machinery
Organizations in packaging machinery
Universities, startups, and suppliers with solutions in packaging machinery.
Packaging machinery organizationsAbout packaging machinery
PET blow molding accounts for almost everything on Halo. Nine entries predict a container from its preform or the reverse, eight inspect the result on the line, and a handful change the machine itself. Injection molding appears mostly as a control problem, and recycled resin is why. On Halo it spans five groups, including designing a PET container with a model, finding a defect on the line, and injection molding control.
Stage of development. Work on packaging machinery on Halo comes mostly from university programs. 66% of the solutions are in market. Co-development and sponsored research are the usual partnering routes, and about 36% of the solutions that state terms offer pilot engagements.
Three trends in packaging machinery solutions on Halo
Seventeen entries on one process. PET stretch blow molding accounts for nine design models and eight inspection systems, from ten universities and seven companies. The design entries all learn the same relationship between a preform and the container it becomes, in one direction or both. It is the most concentrated cluster in the packaging set, and it looks like a single request drew most of it.
Defects are found by heat. Of eight inspection entries, six read temperature: thermal profiling on thick walls, thermal plus normal imaging for contrast, multi-spectral sensing that corrects an imbalance, tomographic thermography, and 3D temperature profiles under semantic segmentation. Two use light instead, one polarization and one scattering. A cold spot is the signature almost everyone is looking for.
Recycled resin turned molding into a control problem. Post-consumer content varies batch to batch, and four entries respond by measuring the melt while it runs: in-cavity sensors adjusting for recycled polyolefins, ultrasonic viscosity by pulse-echo, in-line rheology predicting degradation, and a cycle-time model trained against PCR fraction. Ultrasound inside the mold decides when cooling is genuinely done.
287organizations
294solutions listed
61%from university labs
66%in market
Frequently asked questions
What are packaging machinery solutions?
Packaging machinery covers the equipment that forms a container and the control that keeps it in spec. It spans models that design a PET preform and predict what it becomes, inspection systems that find a defect as the line runs, the blow molding hardware itself, closed-loop control for injection molding including recycled resin, and the laser and printing methods that make a container another way.
What are examples of packaging machinery solutions?
Five examples of packaging machinery solutions on Halo include:
- Learns the mapping from a preform design to the product it becomes. (DAMSL Ltd)
- Real-time thermal profiling and deep learning on thick-walled containers. (University of Reading)
- Ultrasound inside the mold finds when cooling has actually finished. (Moldsonics)
- Modular spindles so a neck size change does not stop the line for long. (Re-Du Company)
- Laser joining and additive manufacturing that use less energy per part. (The Ohio State University)
What are the latest packaging machinery innovations?
The most recently updated packaging machinery solutions on Halo include:
Which companies and suppliers are developing packaging machinery solutions?
There are 287 organizations with packaging machinery solutions on Halo, 29 of them universities and research institutions. Among them are DAMSL Ltd, Comnext, Inc (acquired by Zionex and became Zionex Japan in 2013), and Iowa State University. Most offer co-development or sponsored research. Sign up to see every organization working in the area and to send them your specific need.
How do I find packaging machinery research partners?
Browsing packaging machinery solutions on Halo is free. Sign up to search the full network and save the ones you want. Post your specific need to get exact matches. Organizations reply directly on the platform.
What are R&D teams looking for in packaging machinery solutions?
Over the past 12 months, R&D teams on Halo have posted these packaging machinery solutions needs:
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