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| Brand Name : | HSTECH |
| Model Number : | AIS300 |
| Certification : | CE |
| Price : | Negotiable |
| Payment Terms : | T/T, Western Union, MoneyGram |
| Supply Ability : | 100 sets per month |
| Delivery Time : | 7~9 work days |
Quick Installation Fast Inspection Speed Remote Assistant Inline THT DIP AOI Before Wave Soldering
Specification
| Model | AIS300 | AIS301 |
| PCB Size | 50x50mm~430x380mm | 50x50mm~350x350mm |
| Thickness | 0.3~7.0mm | |
| Warping extent | <4mm | |
| Component height | Top 150mm, bottom 25mm | |
| Camera | 5MP,color,CCD | |
| Light source | RGB | |
| FOV | 45*37mm | |
| Resolution | 20um | |
| Inspection | ||
| Mounting components defect | Missing,rolling,offset,damage,skew,redundant,dirty. | |
| Solder defect | Excess,insufficient,bridge,no foot,missing solder,non-wetting. | |
| Other function | Bar-code,QR cod,OCR | |
| Speed | 0.23sec/fov | 0.25sec/fov |
| Software/Hardware | ||
| Operation system | Ubuntu 14.04 LTD 64bit | |
| Function | Remote control, Gerber file importing, training tool for new models | |
| Industrial PC | CPU intel i5,Independent Graphics Card,12G DDR,256SSD | |
| Display | 22 inch FHD LCD | |
| Motion | High accuracy linear actuator | |
| Power supply | AC220V,1KW | |
| Air pressure | >0.5Mpa | |
| Dimension(L*H*W) | 1100*1630*1350mm | 1100*1280*1300mm |
| Net Weight | 800kg | 700kg |
Features
1.Core Algorithm: Convolutional Neural Network (CNN) for Industrial Applications and Innovations
2.Human-like Inspection: Emulating human-level accuracy and
precision in quality control, leveraging CNN's ability to detect
intricate patterns and anomalies.
3.Enhanced Compatibility: Designed for seamless integration into
various industrial environments and systems, ensuring compatibility
across diverse production lines and equipment.
4.Training Algorithm for Massive Datasets: Optimized training
algorithm capable of handling extremely large sample sets, enabling
continuous improvement and adaptation to diverse product
variations.
5.High Generalization: Achieving robust performance across
different scenarios and products, thanks to CNN's inherent ability
to generalize from learned features.
6.Superior Detection Capability with Low False Positives:
Accurately identifying defects and anomalies while minimizing
misclassifications, enhancing overall inspection efficiency and
reducing costs associated with false alarms.
7.User-Centric Self-Training Model: Supporting custom model
training, allowing users to fine-tune the system according to their
specific needs and product characteristics.
Application
This inline THT AOI used after wave soldering machine in DIP production line,it used for Correcting the wrong units, which can reduce repairs and time. The passing rate can be improved efficiently. This machine widely used for inspecting TV mainboard,PC mainboard,power board,industrial control board,Mini household electronic appliances and other PCBAs.

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