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4800W X Ray Chip Counter 80kV 430mm For PCBA Component Counting

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SHENZHEN WEIMING PHOTOELECTRIC CO.,LTD.

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4800W X Ray Chip Counter 80kV 430mm For PCBA Component Counting

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Brand Name :	WELLMAN
Model Number :	IL-1000
Certification :	CE, FDA
Payment Terms :	T/T

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4800W X Ray Chip Counter 80kV 430mm For PCBA Component Counting

Industrial SMT In-line full automatic X - Ray Parts Counter IL-1000 for PCBA Component Counting

Key Advantages

For reels or trays in moisture barrier bags, it supports a maximum size of 17" (430mm)
AI deep learning algorithm is available with permanent free updates
It can be integrated with MES, ERP, WMS and other management systems
A manual mode is provided for special scenarios such as small, overweight or packaged reels
80kV X-ray tube enables extended lifetime and maintenance-free operation
AGV docking capability for fully automated counting process
Work order number function with counting record query & statistics
Super definition 17" digital flat panel detector (FPD)
Ultrafast counting with top speed of 12s per reel

Hardware Specifications

X-ray Source
Type	Microfocus
Max tube voltage	80kV
Max tube current	700μA
Focal spot size	30μm
Flat Panel Detector
Type	Super definition digital FPD
Effective area	430mm*430mm
Pixel size	139μm
Resolution	3072*3072
Reel/Tray Counting
Max size	Auto mode	15" (380mm)
Max thickness	Auto mode	50mm
Min parts size	01005
Speed	12-15s
Accuracy	01005	≥ 99.98%
	0201 & above	≥ 99.99%

Equipment Specifications

Dimensions	2700mm (L) * 1400mm (W) * 1900mm (H)
Weight	3000kg
Power supply	AC110-220V 50/60HZ
Max power	4800W
Industrial PC	I7 CPU, 16G RAM, 256G SSD+4T HDD
Displayer	24" HDMI LCD

Performance Metrics

Reel size	Parts size	Quantity	Accuracy	Speed
7" (180mm)	01005	10000	99.98%	12-13s
7" (180mm)	0201	10000	99.99%	11-12s
7" (180mm)	0402	10000	99.99%	11-12s
7" (180mm)	0603	5000	99.99%	10-11s
10" (254mm)	1206	5000	99.99%	10-11s
15" (380mm)	1206	10000	99.99%	11-12s

AI Deep Learning Algorithm

Our counting software utilizes a powerful artificial intelligence deep learning algorithm that automatically identifies components without manual binding. The system learns from counted component data including:

Corner angles of components
Slope between components from inside to outside
Aspect ratio
Image deformation patterns

As counting operations increase, results become progressively more accurate, enabling efficient handling of similar components or larger trays.

AI deep learning algorithm visualization

Cloud Database Integration

Each Wellman X-ray counter links to our cloud database, automatically uploading machine data and images and downloading the latest database updates. Our engineers keep optimizing algorithms using collected data, with regular updates sent to customer machines.

This system ensures counting accuracy approaches 100% over time while expanding component type coverage. When encountering new components, the system can immediately access relevant data if available in our database.

Working Principle

Detailed working mechanism of X Ray Parts Counter

Sample Images

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