defect detection

Vision AI for Defect Detection

Automated Defect detection can be widely applied to enhance product quality and reduce manual tasks.

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defect detection

Computer vision can significantly increase productivity by automating visual inspection tasks, detecting defects, and ensuring consistency in production. By automated defect detection, manufacturers can improve product quality, minimize waste, and lower costs associated with manual inspections and rework. Once a defect is detected, an actuator can be triggered to automatically remove the faulty product, which automates the process and minimizes human intervention. 

Defect detection in the egg production process

Real applications of defect detection in different fields

Examples of how defect detection could be implemented.

Surface defects

Identify flaws such as scratches, dents, or irregular textures with precision.

Fruits which are not fresh

Detect the color, texture, size, and shape of the fruits during production process.

Unusual patterns in fabrics

Look for deviations such as misalignment, color inconsistencies, or weaving defects.

Wind turbine blade damage

With high-resolution images or drone-captured video footage it is possible to detect cracks, erosion, delamination, or surface irregularities

Customizable dashboard

Gain real-time insights through the Dalys dashboard, tailored to your specific application.

With detailed analytics, you can easily identify and analyze the types of defects occurring on your production line

Hardware installation

Dalys provides a fully integrated solution, removing the need for client expertise in hardware. Our team manages the entire hardware setup, including the installation of cameras, sensors, and edge devices at the specified location.

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Let’s find out what we can mean for you! We’re always open to have a chat.

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