High Speed : On-the-Fly Imaging for Maximum Throughput
High Precision : Minimum Detection Diameter of 0.1mm.Under the condition that each type of defect has at least 20 samples, a sample augmentation algorithm is used to expand the dataset by 5 times. The ACC-Untel model is then applied to accurately extract the defective areas from the images.
Flexibility : Quick Changeover for Adaptable Production
Intelligence : Powered by reliable and precise AI vision algorithms.Leverages the Segment Anything Model (SAM) for coating area extraction, generating precise regions for coating inspection.
Platformization : Codeless Software Platform
Zero-Shot Defect Recognition : With the product model and a scarcity or complete absence of defect samples, the EffectAD anomaly detection algorithm is employed to conduct defect detection.
| Model | ACI-F1200 |
| Dimensions | L1530×W1050×H1670mm (Standard - excluding three-color tower light) |
| Controller | Industrial Personal Computer+ Motion Card |
| Number of Axis | X、Y、Z |
| Driver | Servo Motor + Precision Ball Screw |
| Max. Speed | 1000mm/s |
Inspection Speed | 0.23s/FOV |
| PCB Size (Max. / Min. Range) | Min.30mm*30mm，Max.500mm*400mm |
| Work Area Detectable Diameter | 0.2mm |
| Camera | Industrial color camera with 5 megapixels, field of view 50mm*40mm, pixel accuracy 21 um |
Feature | detection of Over-Coating , Under-Coating,Splattering, bubbles, foreign matter, and thickness(Optional) |
| Programming | Online, Vision-Guided Programming |
Operating Environment (Temperature, Humidity) | 0~50℃、35%~85%(non-condensing) |
| Conveyor Height | 900±50mm |
| Weight | Standard Unit:740KG |
| Power Supply | 220V 50/60HZ |
| Pressure | ≥0.7±0.05Mpa |
| Total Power | 3kw (Standard Unit) |
| Safety Standards | CE |
| Communication Interface | SMEMA |
| Industrial Personal Computer | CPU: Intel 7th Gen Core i7; GPU: NVIDIA GeForce GTX 3080; Storage: 64GB DDR4, 512GB SSD + 4TB mechanical hard drive |
| Operating system | Win11 |
