AI-DRIVEN IN-LINE PART IDENTIFICATION — BUILT FOR COMPLEX GEOMETRY, READY FOR ANY PRODUCTION ENVIRONMENT
Developed for the post-processing challenges of additive manufacturing, AM-Vision uses advanced AI and image recognition to identify parts based on geometry, size, and color — in just 0.2 seconds, with no pre-training required.
The same geometry-based identification that handles the infinite shape variation of 3D-printed parts makes AM-Vision equally powerful for mixed-product inspection in injection molding, die casting, CNC machining and other production technologies.
No fixtures, no barcodes, no manual sorting — just automatic part recognition at up to 5,760 parts per 8-hour shift, across any production technology..
AI Driven
In-line Identification
ADVANTAGES
RAPID PART IDENTIFICATION
AM-Vision identifies individual parts in just 0.2 seconds — no barcodes, no RFID, no pre-training on new part types.
Originally developed to handle the post-processing bottleneck in additive manufacturing, where dozens of different geometries emerge from a single build, the same AI-powered recognition works across injection molding, die casting, and CNC machining workflows. Introduce a new part and the system recognizes it based on shape, size and color — making it the most flexible automated identification solution available for mixed-production environments.
HIGH PRECISION
AM-Vision's geometry-based identification goes beyond simple shape matching — it distinguishes between parts with subtle dimensional differences, capturing size, form, and surface characteristics simultaneously. For additive manufacturing, this means reliably separating similar-looking parts from the same build tray. For injection molding, die casting, and CNC operations, it enables precise identification across large mixed-SKU batches without any physical tooling or changeover.
SEAMLESS INTEGRATION
AM-Vision sits at the heart of the AM-Flow line, connecting upstream to AM-Feed for automated part infeed and routing downstream either directly to AM-Sort, or through AM-Quality for dimensional inspection before sorting. Through AM-Logic, the full line integrates with your existing ERP and MES infrastructure — whether you're running a 3D printing service bureau or an injection molding, die casting, or CNC production floor. No standalone islands, no manual data transfer between stations.
INSIGHTFUL DATA ANALYSIS
Every part that passes through AM-Vision generates traceable identification data — logged, timestamped, and fed into AM-Logic for real-time production reporting in your MES/ERP system bringing you one step closer to a paperless factory. For additive manufacturing operations, this creates full build traceability. For injection molding, die casting, and CNC environments, it provides the part-level data foundation needed for quality management systems, compliance reporting, and continuous process improvement.
VERSATILE HANDLING
AM-Vision is application agnostic by design. Developed to handle the most challenging scenario in part identification — the organic, unpredictable geometry of 3D-printed parts — it performs equally well on the regular forms of injection-molded components, die-cast parts, and CNC-machined pieces. No reconfiguration between product types. No fixtures. No operator intervention between SKUs.
LEAD TIME REDUCTION
Manual part identification and sorting is one of the most persistent bottlenecks in both additive manufacturing post-processing and traditional quality sampling workflows. AM-Vision eliminates this entirely — processing up to 5,760 parts per shift and feeding identification data directly downstream, compressing lead times without adding labor.
FULL TRACEABILITY
AM-Vision creates a continuous digital record for every part it identifies — linking geometry, production batch, timestamp, and downstream routing into a single traceable data stream through AM-Logic. For additive manufacturing, this replaces paper-based post-processing tracking. For injection molding, die casting, and CNC operations, it delivers the part-level traceability increasingly required by automotive, medical, and industrial customers.
ENABLING FAST GROWTH
Scaling production output in additive manufacturing — or expanding a quality inspection program across injection molding or CNC lines — has traditionally meant adding headcount resulting in higher manual labour cost. AM-Vision handles increased volume, additional part types, and new production technologies without retraining or retooling.
COST SAVING
By replacing manual identification with automated geometry-based recognition, AM-Vision reduces labor costs, eliminates misidentification errors, cuts the downstream cost of mis-sorted or mis-shipped parts and improves overall customer satisfaction. For additive manufacturing operations, this directly reduces non-conformance rates. For injection molding, die casting, and CNC manufacturers running manual quality sampling, it replaces a recurring labor cost with a one-time infrastructure investment alo.
RAPID PART IDENTIFICATION
AM-Vision identifies individual parts in just 0.2 seconds — no barcodes, no RFID, no pre-training on new part types. Originally developed to handle the post-processing bottleneck in additive manufacturing, where dozens of different geometries emerge from a single build, the same AI-powered recognition works across injection molding, die casting, and CNC machining workflows. Introduce a new part and the system recognizes it based on shape, size and color — making it the most flexible automated identification solution available for mixed-production environments.
AM-Vision revolutionizes post-processing workflows with unparalleled speed and accuracy in identifying 3D-printed parts. By leveraging advanced image recognition and AI algorithms, the system significantly reduces manual inspection efforts, ensuring precision and efficiency in your production line.
360° VIEW
- “The bottlenecks in the industry right now are largely in the post processing side, so everything after the printer. While we continue to grow, we can not just add human labor to continue to simply sort parts. That’s something we have been aggressively trying to resolve and explains our interest in AM-Flow. We are very impressed by the AM-Flow technology.”
Steve Grundahl | CEO Midwest Prototyping, US - 'As other 3D printing service providers, Oceanz’ part of the post processing workflow is also manually. That is why, for our growth, we see the importance of applying and developing new technological principles, such as automatic identification, Artificial Intelligence and machine learning,”
Erik van der Garde | CEO Oceanz, NL - “As companies scale their AM operations, they increasingly rely on automation. However, the potential to scale is limited by the post processing, which today is still mostly a manual process. Scaling this manual process by simple adding people increases costs, variability and doesn’t increase reliability. If you want to scale production, the only way forward is to automate post processing . . . but that easier said than done.”
Bart Van der Schueren | CTO Materialise, BE - “We want to strengthen our value for money proposition by lowering cost and optimizing lead time by business and manufacturing automation. We rather invest at an early stage; it is harder to change processes once we run 10 machines and increased the headcount. We aim to create a scalable infrastructure that enables fast but organized growth that does not compromise quality or customer experience”
Markus May | CEO 3Faktur, DE - “Integrating AM-Flow's identification and sorting capabilities has optimized our SLS and MJF processes, balancing density and geometry to reduce build costs. Streamlined administrative tasks and enhanced quality tracking have significantly cut non-value-added time and integrated critical quality data into our production system. Consequently, our production output increased by 70% in six months, and our non-conformance rate dropped from 1.6% to below 0.7%.”
Kason Knight | Managing Director i-SOLIDS, US - ProM
- “Integrating AM-Flow's identification and sorting capabilities has optimized our SLS and MJF processes, balancing density and geometry to reduce build costs. Streamlined administrative tasks and enhanced quality tracking have significantly cut non-value-added time and integrated critical quality data into our production system. Consequently, our production output increased by 70% in six months, and our non-conformance rate dropped from 1.6% to below 0.7%.”
Kason Knight | Managing Director i-SOLIDS, US - 3DStep
- “The bottlenecks in the industry right now are largely in the post processing side, so everything after the printer. While we continue to grow, we can not just add human labor to continue to simply sort parts. That’s something we have been aggressively trying to resolve and explains our interest in AM-Flow. We are very impressed by the AM-Flow technology.”
Steve Grundahl | CEO Midwest Prototyping, US - Sculpteo
- “We want to strengthen our value for money proposition by lowering cost and optimizing lead time by business and manufacturing automation. We rather invest at an early stage; it is harder to change processes once we run 10 machines and increased the headcount. We aim to create a scalable infrastructure that enables fast but organized growth that does not compromise quality or customer experience”
Markus May | CEO 3Faktur, DE - Creabis
- 'As other 3D printing service providers, Oceanz’ part of the post processing workflow is also manually. That is why, for our growth, we see the importance of applying and developing new technological principles, such as automatic identification, Artificial Intelligence and machine learning,”
Erik van der Garde | CEO Oceanz, NL - ZiggZagg
- Shapeways
- KLS Martin
- Weerg
SOFTWARE
AM-Logic integrates all AM-Flow modules with your existing IT infrastructure — connecting seamlessly to your MES and ERP environments or your metrology software in injection molding, die casting, and CNC production floors.
LET US CHECK
YOUR PARTS
Whether you're processing 3D-printed parts, injection-molded components, die castings, or CNC-machined pieces — send them to us. We'll run them through AM-Vision and show you exactly what the system sees.
