CV supported defective pixel detector tool

CV supported defective pixel detector tool

by from New York, United States

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Type: Software
Client from United States
Category: Advertising & marketing
Style: Big photo
Color: Red

With the critical need for flawless daily operation, the client has sought to facilitate its usual quality control. Given its brand image, all-manual workflows were no longer justified. That’s where Abto Software has entered the partnership to design a solution for automated visual inspection by leveraging computer vision image analysis. Main goalsThe primarily project objective was focused around replacing the inefficient manual workflows of assessment. Before that, the operators heavily relied on rigorously, manually marking faulty components in spreadsheets – a resource-intense, error-prone approach. We aimed at streamlining existing workflows by automating:The process of detecting faulty diodesAnd reporting of found LED malfunctions AI/ML & tech stack:PythonOpenCV