Optimization of Brake Hose inspection
Surface Inspection
Customer Request
Our customer produces over 70,000 meters of brake hoses daily, which are inspected both manually by staff and through an automated vision system. The existing inspection system frequently identified defects that were not actually present, such as minor surface imperfections or color deviations. This resulted in a pseudo-scrap rate of approximately 5%. Additionally, the company experienced several customer complaints each year, necessitating costly manual sorting actions.
To significantly reduce the pseudo-scrap rate and slippage, the Maddox AI inspection system combines the existing camera hardware with Maddox AI software. Common defect types that are detected include surface flaws like scratches, cuts, and other damages from prior production steps.
The quality of the brake hoses was previously monitored through an automated vision system and manual checks across three shifts, employing one to two staff members per shift.
With the integration of the Maddox AI system, quality inspection is now fully automated, eliminating the need for manual inspection personnel. This enables a more efficient and precise inspection process around the clock.
On average, about 10% of the produced parts were classified as defective, with half of those labeled as defective being pseudo-scraps.
Thanks to the enhanced precision of the Maddox AI inspection system, the pseudo-scrap rate has been reduced by approximately 85%, nearly eliminating the need for re-inspections and avoiding unnecessary costs.
Due to the inadequate accuracy of the previous system, weekly manual sorting actions were necessary, where parts had to be checked and re-evaluated.
With Maddox AI, manual sorting actions have become completely unnecessary, as the system accurately and reliably differentiates between good and defective parts.
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