An Automated Method for Inspection of IC Bonds
نویسنده
چکیده
The continuing increase in packing density of VLSI circuits requires that the inspection process be completely automated. This paper suggests a new method for automatic inspection of that part of the wire bond where the wire connects to the bond pad on the chip. A popular type of bonding (connected to bond pad) known as “ball bond” is considered here. Although several approaches for ball bond inspection have been introduced, they do not reveal the efficient results. The suggested method consists of five steps: (1) to enhance the edges using Binomial and the modified Laplace filter; (2) to binarize the image; (3) to extract center point of the ball bond; (4) to extract the ball bond boundary; (5) to fit the ellipse using direct ellipse-specific fitting. Experimental results illustrate that the proposed method performs the inspection of ball bond more fast and accurately as compared to the conventional ball bond inspection methods and, in addition, our method finds the size and orientation of the ball from the bond image containing the part of the ball.
منابع مشابه
Design of single-sampling inspection-plan approach by mathematical programming and linear assignment method
This study proposes a new approach for single-sampling plan by determining sample size and acceptance number. The proposed approach is based on a two-step methodology. In the first step: quality management step, different single sampling inspection plans were generated by running an optimization model for different possible acceptance numbers. While, in the second step: Multi-Attribute Decision...
متن کاملNeural Network Approach To
This paper discusses the use of an artificial neural network in an automated IC package wirebond inspection defect classification system. A neural network was applied to the inspection of wirebonds in high pin count (>300 pin) IC packages. This study required sample acquisition, image capture, image segmentation, data compression, feature extraction, and training a neural network. Simple image ...
متن کامل3D Detection of Power-Transmission Lines in Point Clouds Using Random Forest Method
Inspection of power transmission lines using classic experts based methods suffers from disadvantages such as highel level of time and money consumption. Advent of UAVs and their application in aerial data gathering help to decrease the time and cost promenantly. The purpose of this research is to present an efficient automated method for inspection of power transmission lines based on point c...
متن کاملAutomatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques
Quality inspection is an indispensable part of modern industrial manufacturing. Steel as a major industry requires constant surveillance and supervision through its various stages of production. Continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. Once the slab is released from the casting unit, th...
متن کاملCounterfeit IC Detection: A Defect Database and Test Procedure
Counterfeit electronics are a long-standing problem, which pose an enormous threat to the electronics industry and supply chain. Critical systems used in medical, transportation, defense, etc. have long life cycles which make it easier for long-term counterfeiting success. Physical inspection and electrical tests are the most common approach for counterfeit parts detection. During the physical ...
متن کامل