So, they get turned off and production teams go back to manual inspection. <\/p>\n\n\n\n
However, the same worries remain: <\/p>\n\n\n\n
- \n
- products leaving the factory without a code\u202f\u00a0<\/li>\n\n\n\n
- codes that are poorly printed\u202f\u00a0<\/li>\n\n\n\n
- codes\u00a0that\u00a0have\u00a0critical information\u00a0missing\u00a0<\/li>\n<\/ul>\n\n\n\n
This can lead to large fines, increased costs due to rework, and damage to the brand and reputation. <\/p>\n\n\n\n
Manual inspection can\u2019t reliably eliminate these risks. But until now, many automated vision systems haven\u2019t lived up to expectations. <\/p>\n\n\n\n
Why traditional vision systems fall short<\/strong> <\/h2>\n\n\n\n
Most systems operate independently of the printer, relying on: <\/p>\n\n\n\n
- \n
- Image matching\u00a0<\/li>\n\n\n\n
- Generic OCR\/OCV models\u00a0<\/li>\n\n\n\n
- External configuration and management\u00a0<\/li>\n<\/ul>\n\n\n\n
That creates a disconnect. <\/p>\n\n\n\n
The system doesn\u2019t truly \u201cknow\u201d what the printer was supposed to produce \u2013 it just compares what it sees to a reference image or pattern. This can lead to: <\/p>\n\n\n\n
- \n
- False fails (perfectly acceptable codes rejected)\u00a0<\/li>\n\n\n\n
- Missed errors\u00a0<\/li>\n\n\n\n
- Time-consuming setup and retraining\u00a0<\/li>\n\n\n\n
- Operator frustration\u00a0<\/li>\n<\/ul>\n\n\n\n
The Linx Iris<\/strong>\u00ae<\/sup><\/strong> vision system offers a new, better approach<\/strong> <\/h2>\n\n\n\n
![\"\"](\"https:\/\/www.linxglobal.com\/wp-content\/uploads\/2026\/05\/LX4820.png?w=1024\")
<\/figure>\n\n\n\nLinx Iris is a fully integrated vision system that works flawlessly with the Linx 9000 Series CIJ printers. <\/p>\n\n\n\n
There are no additional equipment, laptops,\u202fscreens\u202for power supplies, no complex installation and no disconnected systems to manage. <\/p>\n\n\n\n
The camera connects directly to the printer and mounts quickly onto the printhead, making setup really straight forward. <\/p>\n\n\n\n
Simple to set up. Simple to use<\/strong> <\/h3>\n\n\n\n
With guided workflows, training the Linx Iris vision system is easy: <\/p>\n\n\n\n
- \n
- Place a coded product under the camera<\/li>\n\n\n\n
- The system\u00a0automatically optimises\u00a0focus and exposure\u00a0<\/li>\n\n\n\n
- The Linx Iris confirms\u00a0the image and training\u00a0can start\u00a0<\/li>\n\n\n\n
- Once\u00a0training is\u00a0complete,\u00a0settings ae stored\u00a0with the message,\u00a0so\u00a0there\u2019s\u00a0no need to retrain\u00a0unless the\u00a0production line has changed significantly\u00a0or the printer has been moved\u00a0<\/li>\n<\/ol>\n\n\n\n
![\"\"](\"https:\/\/www.linxglobal.com\/wp-content\/uploads\/2026\/06\/LX4825.png?w=1024\")
<\/figure>\n\n\n\n- <\/ol>\n\n\n\n
- The Linx Iris\u00a0receives message data, including format and field types\u00a0directly from the printer\u00a0<\/li>\n\n\n\n
- It checks the printed output against\u00a0what\u2019s\u00a0been\u00a0entered\u00a0into the printer\u00a0<\/li>\n\n\n\n
- So,\u00a0it knows exactly what should have been printed\u00a0<\/li>\n<\/ul>\n\n\n\n
This allows it to detect: <\/p>\n\n\n\n
- \n
- Missing codes\u00a0<\/li>\n\n\n\n
- Incorrect or invalid data\u00a0<\/li>\n\n\n\n
- Misplaced or incomplete prints\u00a0<\/li>\n\n\n\n
- Readability issues\u00a0<\/li>\n<\/ul>\n\n\n\n
![\"\"](\"https:\/\/www.linxglobal.com\/wp-content\/uploads\/2026\/06\/Screenshot-2026-06-18-161558.png\")
<\/figure>\n\n\n\nPractical quality control for real production lines<\/strong> <\/h3>\n\n\n\n
Another key issue with conventional vision systems is that they\u2019re often trained for perfection and anything less becomes a fail. <\/p>\n\n\n\n
But in real production environments, \u201cperfect\u201d isn\u2019t always necessary. What matters is whether the code is human-readable. <\/p>\n\n\n\n
That\u2019s why the Linx Iris introduces pass criteria and quality levels. <\/p>\n\n\n\n
You can define: <\/p>\n\n\n\n
- \n
- What counts as acceptable\u00a0<\/li>\n\n\n\n
- How strict the inspection should be\u00a0<\/li>\n<\/ul>\n\n\n\n
This ensures: <\/p>\n\n\n\n
- \n
- Printed\u00a0products\u00a0aren\u2019t\u00a0unnecessarily rejected\u00a0<\/li>\n\n\n\n
- Production flow\u00a0isn\u2019t\u00a0disrupted\u00a0<\/li>\n\n\n\n
- Quality standards\u00a0remain\u00a0under your control\u00a0<\/li>\n<\/ul>\n\n\n\n
Immediate action when it matters most<\/strong> <\/h3>\n\n\n\n
With the Linx Iris: <\/p>\n\n\n\n
- \n
- Every code is checked in real time\u00a0<\/li>\n\n\n\n
- Fail counts can be defined\u00a0<\/li>\n<\/ul>\n\n\n\n
The Linx\u202fIris will stop print automatically once the fail\u202fcount\u202fpreviously set has been reached. So, if the\u202ffail\u202fcount is set to 1, the print will stop on the first fail. <\/p>\n\n\n\n
This means: <\/p>\n\n\n\n
- \n
- No run of incorrectly coded products\u00a0<\/li>\n\n\n\n
- No unnoticed failures building up\u00a0<\/li>\n\n\n\n
- No unnecessary rework downstream\u00a0<\/li>\n<\/ul>\n\n\n\n
And for additional control, alarms or line stops can be triggered to ensure issues are addressed immediately. <\/p>\n\n\n\n
![\"\"](\"https:\/\/www.linxglobal.com\/wp-content\/uploads\/2026\/05\/LX4811.png?w=1024\")
<\/figure>\n\n\n\nMaking printing one less thing to worry about<\/strong> <\/h2>\n\n\n\n
With every code automatically checked – accurately, consistently, and in real time -production teams no longer need to manually inspect the codes. <\/p>\n\n\n\n
They can: <\/p>\n\n\n\n
- <\/ol>\n\n\n\n
- <\/ol>\n\n\n\n
A vision system that understands what was printed<\/strong> <\/h3>\n\n\n\n
Where the Linx Iris really differs is in how it verifies codes. <\/p>\n\n\n\n
Instead of relying on image matching alone, it works directly with the printer: <\/p>\n\n\n\n
- \n