Artificial intelligent image recognizing based detection system for printed circuit board

A printed circuit board and image recognition technology, applied in the fields of artificial intelligence and image recognition, can solve the problems of detection accuracy and detection speed to be further improved, and achieve the effect of fast speed, high detection accuracy, convenient and accurate segmentation

Pending Publication Date: 2018-07-24
JIANGSU ZONBERATION INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of lighting conditions, industrial site environment and other factors, the original images collected by ind

Method used

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  • Artificial intelligent image recognizing based detection system for printed circuit board
  • Artificial intelligent image recognizing based detection system for printed circuit board
  • Artificial intelligent image recognizing based detection system for printed circuit board

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0027] Example 1

[0028] like figure 1 As shown, a printed circuit board inspection system based on artificial intelligence image recognition includes a casing 1, a conveyor belt 2, 9, an air pump 7, 12, a motor 3, a telescopic rod 4, a push plate 8, a detector 5, a receiver 6, Sensor 10, controller 11; the front and back of the casing are respectively provided with a feeding port and a discharging port, the left and right ends of the casing are respectively provided with a motor and an outlet for defective products, the top of the casing is fixed with an air pump, and the outer surface of the casing is fixed There are controllers.

[0029] like figure 2 As shown, the conveyor belt includes an X conveyor belt 2 and a Y conveyor belt 9, whose conveying direction is vertical, and its power source is a motor; the starting point of the X conveyor belt is the feeding port, and the end point is the discharging port; the starting point of the Y conveyor belt is the X conveyor bel...

Example Embodiment

[0032] Example 2

[0033] A printed circuit board detection system based on artificial intelligence image recognition, comprising a casing 1, conveyor belts 2, 9, air pumps 7, 12, a motor 3, a telescopic rod 4, a push plate 8, a detector 5, a receiver 6, a sensor 10, Controller 11; the front and back of the casing are respectively provided with a feeding port and a discharging port, the left and right ends of the casing are respectively provided with a motor and an outlet for defective products, the top of the casing is fixed with an air pump, and the outer surface of the casing is fixed with a controller .

[0034] The controller includes a data processing module, an input module, an output module, a communication module, a display module and a button module; the data processing module adopts TMS320L2812; the input module is electrically connected with the detector and the receiver, and digital image signals are input; the input module is electrically connected with the senso...

Example Embodiment

[0040] Example 3

[0041] A printed circuit board detection system based on artificial intelligence image recognition, comprising a casing 1, conveyor belts 2, 9, air pumps 7, 12, a motor 3, a telescopic rod 4, a push plate 8, a detector 5, a receiver 6, a sensor 10, Controller 11; the front and back of the casing are respectively provided with a feeding port and a discharging port, the left and right ends of the casing are respectively provided with a motor and an outlet for defective products, the top of the casing is fixed with an air pump, and the outer surface of the casing is fixed with a controller .

[0042]The controller includes a data processing module, an input module, an output module, a communication module, a display module and a button module; the data processing module adopts TMS320L2812; the input module is electrically connected with the detector and the receiver, and digital image signals are input; the input module is electrically connected with the sensor...

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PUM

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Abstract

The invention discloses an artificial intelligent image recognizing based detection system for a printed circuit board. The system comprises a housing, a conveyor belt, an air pump, a motor, a telescoping rod, a pushing plate, a detector, a receiver, a sensor and a controller, wherein a feeding port and a discharging port are correspondingly formed in the front surface and the rear surface of thehousing; a motor and a defective product outlet are correspondingly arranged at the left end and the right end of the housing; the air pump is fixed to the top part of the housing; the controller is fixed to the outer surface of the housing. With the adoption of the system, general defects of a bare printed circuit board can be quickly and accurately positioned, including short circuit, open circuit, hole, excessive copper and scratch; the requirement on real-time detection in the production process is met; the system is reasonable in structure, convenient to operate, and high in automation degree; an artificial intelligent method replaces a traditional algorithm to realize automatic detection; the system is of a noncontact type, and is high in detection accuracy, fast, high in interference resistance, and convenient to connect to an ERP quality detection module in a communication manner.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and image recognition, and more particularly relates to a printed circuit board inspection system based on artificial intelligence image recognition. Background technique [0002] Printed circuit board (PCB), as a carrier for electrical connection and fixing of electronic components, has been widely used in many fields of modern production and manufacturing. The quality of modern electronic equipment depends not only on the quality and performance of the electronic components, but also largely on the quality of the printed circuit board. [0003] The development trend of integration and miniaturization of electronic components makes the manufacturing process of PCB more and more complicated. Due to factors such as equipment, environment and human error, there will be defects such as short circuits, open circuits, scratches and holes in PCB production that affect product performanc...

Claims

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Application Information

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IPC IPC(8): B07C5/34B07C5/36B07C5/02
CPCB07C5/02B07C5/3416B07C5/361B07C5/362
Inventor 孟洋
Owner JIANGSU ZONBERATION INFORMATION TECH CO LTD
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