what MyPrintPod took from YOLO Vision 25
MyPrintPod attended YOLO Vision 25 to explore how fast, power-efficient computer vision could support quality control in additive manufacturing.
on Thursday 25 September 2025, myprintpod attended YOLO Vision 25, hosted by Ultralytics.
the conference focused on fast, power-efficient vision systems and how they can be applied to real industrial problems.
for myprintpod, the most relevant area is quality control.
why this matters to myprintpod
myprintpod is building practical additive manufacturing services around rapid prototyping, low-volume production, recycled materials and per-part CO₂e tracking.
as production becomes more repeatable and data-led, quality control becomes increasingly important.
computer vision has a clear role to play in that.
for additive manufacturing, vision systems could help monitor:
- print consistency
- visible defects
- layer or surface issues
- part identification
- build progress
- packaging and dispatch checks
the value is not just automation. the value is better evidence.
fast vision systems for real-world manufacturing
one of the strongest themes from YOLO Vision 25 was practical deployment.
fast and power-efficient models are important because many useful applications do not run in perfect lab conditions. they need to work on affordable hardware, close to the process, with low latency and limited compute.
that matters for manufacturing.
vision systems that can run near the machine, rather than relying entirely on heavy cloud processing, create more practical options for SMEs.
IoT, monitoring and connected production
the conference also highlighted a wide range of IoT applications, from manufacturing to CCTV processing.
for myprintpod, that connects directly with the direction of travel for production pods and connected manufacturing systems.
useful monitoring could support:
- more consistent builds
- earlier detection of failed prints
- better process records
- clearer customer reporting
- improved traceability
when combined with material data and CO₂e tracking, this kind of monitoring can help make additive manufacturing more transparent and reliable.
quality control without unnecessary complexity
small manufacturers need quality systems that are practical.
that means avoiding tools that are expensive, fragile or difficult to maintain.
the opportunity with modern computer vision is to create focused systems that solve specific problems:
- is the part present?
- does the surface look correct?
- has the build failed?
- is the right part being packed?
- is there visual evidence for the production record?
simple questions answered reliably can be more useful than complex systems that are hard to deploy.
what myprintpod took away
YOLO Vision 25 reinforced several points:
- computer vision is becoming more accessible for SMEs
- edge processing matters for real industrial environments
- quality control can become more visual, repeatable and data-led
- IoT and additive manufacturing are increasingly connected
- practical implementation matters more than technology for its own sake
for myprintpod, the next step is continuing to explore how vision systems can support better quality control, clearer production records and more reliable manufacturing outcomes.
thank you
thank you to Ultralytics for hosting YOLO Vision 25, and to Hannah Streif.
working with myprintpod
if you are developing a product and need functional prototypes, low-volume manufacturing or practical quality control thinking, we can help.
request co-creation lab support or a 3D printing quote
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