a small electronic device sitting on top of a table

SolVisionCase Study

Detecting Short Circuits in SMT Soldering

AI inspection of semiconductor soldering connections

PCB reliability and the SMT process

Surface Mount Technology (SMT) is a major soldering process in the electronics industry. It involves solder paste printing, dispensing, placement, reflow soldering and other processes to connect electronic components with a PCB. During the reflow process, short circuits can occur with overflowing solder balls, and so need to be detected amongst the many components of PCBs in time to prevent complete failure of the semiconductor.

AI inspection of semiconductor soldering connections

Imprinting flaws and shadows

Identification numbers are often imprinted onto the engine, so when images are captured they are susceptible to shadow interference, uneven fonts or uneven lighting. This makes it hard for machines to process the numbers, and with manual inspection, the process remains slow.

Converting images into data with AI

Using Solvison’s Segmentation tool, sample images of identification numbers can be used to train an AI model to perform Optical Character Recognition (OCR). With OCR, identification numbers can be analysed and converted into numerical data for logging into the factory’s database and connecting with the car identification number in real time.

AI Inspection

Golden Sample

IC PIN corner defect detection case

Overflowing Solder Balls

IC PIN corner defect detection case
Overflowing Solder Balls

Overflowing Solder Balls

IC PIN corner defect detection case
Overflowing Solder Balls
More Case
  • Automating Inspection Processes for PCBs

    SolVision first defines assembly characteristics of each component on the PCBA, then trains the AI model to recognize them via image processing to inspect for defective components.
  • multicolored electronic part

    AI Inspection of Power Supply Unit Cables

    AI model can accurately identify errors in cable connections and eliminate substandard products in real time.
  • front car headlight isolated on a white background

    Automotive Parts Quality Control Using AI

    META-aivi optimizes automotive parts quality control with AI, reducing errors and digitizing the process for unparalleled product inspection efficiency.
  • assorted metal parts

    Metal Parts Bin Picking

    Solomon’s AccuPick and SolScan technology enable accurate component orientation identification, facilitating precise positioning, while AccuPick’s ROS Motion Planning ensures collision-free picking.