Sailyond 2D PCBA AOI (SI-2020C/D Series)

Algorithm Inference: Inference speed is significantly improved, with model algorithms undergoing extreme optimization. (1 Millisecond)

Quick and Easy Start: Easy to use and perfect for beginners, allowing for a quick start in just 10 minutes.

Programming Time: Programming takes only 1 minute. There is no need for component libraries, and true one-key programming is achieved.

Missed Calls: Zero missed reports. By integrating over 40 cutting-edge AI model strategies, our inspection equipment provides efficient and accurate detection.

Pass Rate: Over 99.5%. Defect-free boards pass quickly, greatly enhancing the production cadence.

False Call Rate: Less than 1%. Reliable AI technology effectively reduces algorithm misjudgments.

Revolutionizing Tradition, One Step Ahead

Sailyond Equipment VS Traditional AOI Equipment
Ready to go in 10 minutes.	Complex operations,long training time.
Fast programming time(<1 minute).	Lengthy programming time(4-8 hours).
Easy to master,even for beginners.	Highly dependent on experienced operators.
Full defect recognition,intelligent detection	Can only handle regular,predictable defects.
Short time +Small sample transferability, quick to switch lines.	Highly dependent on component libraries, requires large sample size.

Highlights

No need for a component library; programming can be completed in just 1 minute.

Import CAD files; no programming is required, and workflows are generated directly. The algorithm automatically identifies and frames the target object to check and confirm the template file.

Core Technology

The AutoML algorithm automatically optimizes lighting

In the intelligent light source system of Sailyond Technology, the underlying algorithm of AutoML is utilized to dynamically optimize lighting parameters across over 100 dimensions, enabling the quick and intelligent identification of a defect-specific lighting solution with optimal configuration.

Industrial AIGC Generates Defect Data

In industrial inspection, such generation algorithms are leveraged to produce realistic defect data, thereby lowering the data threshold for the development of deep learning solutions.

Targeted generation of defect data for defect detection of electronic components

Federated Learning

On the basis of not needing to obtain customers’ real data, distributed training of AI models is conducted to ensure the data privacy and security of industrial customers.

Model		SI-2020C	SI-2020D
PCB Specifications	PCB Transfer Size	50mm50mm-510mm460mm	Single Board Mode:50mm50mm-510mm600mm Double Board Mode:50mm50mm-510mm330mm
	PCB Inspection Size	50mm50mm-510mm460mm	Single Board Mode:50mm50mm-510mm600mm Double Board Mode:50mm50mm-510mm330mm
	PCB Thickness Range	0.6-6mm
	Maximum PCB Weight	10kg
	Component Height	Top 25mm
		Bottom 40mm
	PCB Transfer Method	Belt Conveyor
	Edge Width	3mm
Optical Specifications	Camera Pixel	12MP Industrial Area Color Camera,Cell:2.5um
	Recognition Accuracy	12um
	Light Source Solution	Four-color Integral Ring Light Source:White+Red Green Blue
	Optical Lens	Double-sided Telecentric Lens
	Camera Field of View	12MP@12um:50mm*50mm
Inspection Related	Scanning Speed	0.3sec/FOV
	Component Inspection	Missing,Wrong,Misplaced,Standing,Polar Reverse
	Solder Inspection	Multi-solder,Less-solder,Connected-solder,False-solder
	Component Library	NA
	Special Feature	One-key Programming
Device Specifications	Device Working Mode	Standard SMEMA Front and Rear Communication Port
	Front and Rear Device Docking Height	880mm-920mm
	Front and Rear Device Communication Protocol	One-key Programming
	Storage Memory	64G
Hardware Specifications	Storage Memory	CPU:Intel i5 Graphics Card:NVIDIA RTX3060Ti Storage:M.2 Solid State Drive 512G+4T Mechanical Hard Drive Operating System:Windows 10 *Adjustable according to actual conditions
	Monitor	24-inch Monitor
	Board Width Adjustment	Automatic/Manual
	Motion Control	Servo Motor+Ball Screw
Device Size	Device Weight	Approximately 700KG	Approximately 850KG
	DepthWidthHeight	1020mm1196mm1590mm	1020mm1596mm1590mm
Electric and Environment	Power Supply: Power Source	L+N+G
	Power Supply: Voltage/Frequency	AC220V±10%/50Hz
	Power	2.7KW	3KW
	Gas Supply	0.4-0.7Mpa,5L/min
	Operating Environment	Temperature 10~30°℃,Relative Humidity 35~80%

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