Mixed Bottle Type Inspection
Previously, switching bottle types meant reconfiguring the entire detection system — time-consuming and labor-intensive.
Not anymore. Our AI automatically recognizes different bottle shapes. Tall or short, large or small — mix them on the same line with no program changes and zero downtime.
No Manual ROI Setup
Conventional methods require operators to manually draw inspection regions on images. Every bottle change or camera shift means redrawing — tedious and error-prone.
Our AI knows where to look automatically. No manual region drawing needed. Even if the camera shifts or bottle position varies, results stay stable and reliable.
Body Loc.
Zone 1
Zone 2
Zone 3
Body Loc.
Our Parameters
- Detection Sensitivity Level
- Area Filter Threshold
- Other Required Parameters
Conventional Parameters
- Detection Region ROI
- Grayscale / Brightness Threshold
- Edge Detection Threshold
- Area Filter Threshold
- Shape Judgment Threshold
- Noise Filter Parameters
- Glare Suppression Parameters
- Camera Exposure Compensation
- Light Source Gain Compensation
- Changeover Recalibration Parameters
Drastically Fewer Parameters
Conventional methods demand tuning dozens of settings — brightness, edge thresholds, defect size limits... Trial and error is exhausting, and any lighting change means starting over.
Our AI works out of the box with minimal configuration. Even when lighting or line speed changes, it adapts on its own — no engineer re-tuning required.
Defect Classification & Statistics
Traditional detection only tells you "pass or fail" — it can't pinpoint where the defect is or what type it is.
Our AI not only finds defects but tells you exactly where they are and what kind (bubbles, cracks, stains, etc.), and automatically tallies each type to help you trace root causes and improve your production process.
Body Loc.
Zone 1
Zone 2
Zone 3
Body Loc.
Optional Extension Services
Beijing Atlanyu Technology Development Center specializes in the R&D and deployment of intelligent inspection algorithms for glass containers. By deeply integrating deep learning, machine vision, and production-line scenarios, we deliver high-precision, high-speed AI defect detection and classification solutions for bottle and jar production lines. Our core team comprises multiple PhDs who have long been at the forefront of artificial intelligence, continuously translating the latest research into industrial-grade capabilities to ensure our algorithms remain powerful and ever-evolving.
- Room 429, Building B, No. 28A Xinxi Road, Haidian District, Beijing
- +86-13901162623 Mr. Gao
- info@atlanyu.com