CanNeed-X-Chip-380 Fully Automatic Counter for SMT is a non-contact point machine, using advanced X-ray technology, time points in just 10 seconds, far less than a manual counter which needs a few minutes per reel. The measuring data can be transmitted directly to the MES or ERP system. Equipped with Canneed feeding machine and robot, fully automatic inline counting. Operation is very simple by one-key measurement. The operator can get the operation method quickly. It can realize scientific control of warehouse management for enterprises.

Principal: Neuron Algorithm
Non-Linear: The nonlinear relationship is a common characteristic of the nature. The wisdom of the brain is a nonlinear phenomenon. The artificial neuron is in the activation or suppression of two different states, this kind of behavior in mathematics is a kind of nonlinear artificial neural network.
Non-Limited: A neural network is usually composed of a wide range of neurons. The overall behavior of a system depends not only on the characteristics of a single neuron, but may also be determined by the interaction between the elements and the connection. 
Non-fixed: Artificial neural networks are adaptive, self-organizing and self-learning
Non convex: The evolution of a system, under certain conditions, depends on a particular state function.

• High accuracy, deviation less than 1/1000
  
• High speed, counting time less than 10s per reel
  
• Unattended, achievable automatic in-line counting
  
• Contactless counting, obtain security certificate
  
• Flexible, support various reels
  
• Simple operation and maintenance
  
• Precise control of stock
  
• Reduce human errors and production stops
  
• Short returning of investment
  
• Save company running cost
  

Scanning Size 180mm-380mm (400mm optional)

X-Ray TUBE
TUBE Max Volt 80 kV
TUBE max current 4.5 mA
TUBE max power 350W
Component Size CHIP minimal size 0201/01005
Sample Height 8mm-85mm
Code Scanning Way Manually scanning/CCD automatic scanning(optional)
Database Connectible to ERP system or MES system
Gross Weight 1110KG
Power Supply 220V AC ± 10% 50/60Hz
Power 3 KW
Air Pressure 0.5Mpa
Working Temperature < 40℃
Relative Humidity Standard 70%@32°
Safety Comply to national safety scope - 1u Sv/h

● Release counting labor, save overhead ● Integrity management of warehouse system ● High accuracy and efficiency ● Support various reels up to 85mm ● Fully automatic and in-line inspection ● Security certificate

Fully Automatic, Unattended and On-line Inspection,
Compatible to reels with components up to 85mm height

● High accuracy, deviation less than 1/1000 ● High speed, counting time less than 10s per reel ● Unattended, achievable automatic in-line counting ● Contactless counting, obtain security certificate ● Flexible, support various reels

● Simple operation and maintenance ● Precise control of stock ● Reduce human errors and production stops ● Short returning of investment ● Save company running cost

Canneed-x-chip-380 is a non - contact point machine, using advanced X-ray technology, time points in just 10 seconds, far less than a manual counter which needs a few minutes per reel. The measuring data can be transmitted directly to the MES or ERP system. Equipped with Canneed feeding machine and robot, fully automatic inline counting. Operation is very simple by one-key measurement. The operator can get the operation method quickly. It can realize scientific control of warehouse management for enterprises.

 

Principal: Neuron Algorithm
Non-Linear: The nonlinear relationship is a common characteristic of the nature. The wisdom of the brain is a nonlinear phenomenon. The artificial neuron is in the activation or suppression of two different states, this kind of behavior in mathematics is a kind of nonlinear artificial neural network.
Non-Limited: A neural network is usually composed of a wide range of neurons. The overall behavior of a system depends not only on the characteristics of a single neuron, but may also be determined by the interaction between the elements and the connection. 
Non-fixed: Artificial neural networks are adaptive, self-organizing and self-learning
Non convex: The evolution of a system, under certain conditions, depends on a particular state function.

Optional Configuration: Feeding machine achieves fully automatic and inline counting!

Compatible to high reel and reel will not deform