AOI Machine False-Call Reduction

Reduce manual inspection work

Graphic of process flow for AOI machine false call reduction

In most SMT lines, a high percentage of the error alerts generated by AOI optical inspection equipment machines are false calls. As a result, anywhere from 30% to 80% of the PCBs that AOI machines report as failed are later judged to have passed once they are reviewed by an operator. Checking every single unit failed by the AOI machine requires a huge amount of manual work and time, significantly reducing line productivity.

The Valor AOI Machine False-Call Reduction Micro-Solution uses artificial intelligence to predict with high accuracy whether a failed board is a false call or a real error. It reduces the number of false calls from AOI machines, and thus reduces the manual review work associated with them.

The solution works by training an AI-based model using historical data from AOI machines, together with data from final operator pass/fail decisions. Once the model training is completed, the AI model itself has the capability to predict which of the next production units failed by the AOI machine are actually real failures or false calls. The false calls are then filtered out, leaving fewer components that need to be manually reviewed by an operator.

Depending on the value of data that is collected from your AOI machine, the Valor AOI Machine False-Call Reduction Micro-Solution can eliminate up to 60% of manual work at the visual inspection phase, driving high throughput and supporting zero-defect production.

The Valor AOI Machine False-Call Reduction Micro-Solution is available as an annual subscription. Contact your local representative for pricing information.

AOI Machine False-Call Reduction

In most SMT lines, a high percentage of the error alerts generated by AOI optical inspection equipment machines are false calls. As a result, anywhere from 30% to 80% of the PCBs that AOI machines report as failed are later judged to have passed once they are reviewed by an operator. Checking every single unit failed by the AOI machine requires a huge amount of manual work and time, significantly reducing line productivity.

The Valor AOI Machine False-Call Reduction Micro-Solution uses artificial intelligence to predict with high accuracy whether a failed board is a false call or a real error. It reduces the number of false calls from AOI machines, and thus reduces the manual review work associated with them.

The solution works by training an AI-based model using historical data from AOI machines, together with data from final operator pass/fail decisions. Once the model training is completed, the AI model itself has the capability to predict which of the next production units failed by the AOI machine are actually real failures or false calls. The false calls are then filtered out, leaving fewer components that need to be manually reviewed by an operator.

Depending on the value of data that is collected from your AOI machine, the Valor AOI Machine False-Call Reduction Micro-Solution can eliminate up to 60% of manual work at the visual inspection phase, driving high throughput and supporting zero-defect production.

The Valor AOI Machine False-Call Reduction Micro-Solution is available as an annual subscription. Contact your local representative for pricing information.

Valor Predictive Analytics

Graphic of the Valor Micro-Solutions cloud

Valor Predictive Analytics Solutions focus on solving small problems in the production line, one step at a time. Utilizing machine learning and artificial intelligence improves yield, quality, and OEE, to solve efficiency challenges.

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