A NEW ERA IN PRODUCTION AND QUALITY CONTROL

Machine vision, image recognition and machine vision systems are artificial intelligence technologies that advance industrial automation and quality control. These systems play a critical role in the processes of capturing, processing and converting images into machine responses. This technology, which has a wide range of applications from traffic control to medical imaging, has an important place especially in the Industry 4.0 revolution.

Application Areas:

Manufacturing Automation: Makes production processes more efficient, detects abnormalities and reduces human supervision.
Measurement: Performs measuring and testing of certain dimensions of products.
Product Verification: Checks that parts are in the correct position in assembly processes.
Product Identification: Barcode and 2D code reading allows products to be identified according to their shape, size and other features.
Product Sorting: Sorts packages according to criteria such as color.
Navigation System: Determines the position of products on the assembly line and uses their coordinates for IOT devices.
Improvement with Deep Learning:

Deep learning makes machine vision more effective. It increases the capacity to quickly adapt to changes and demand fluctuations in the production line, thus ensuring that products are inspected efficiently and consistently. This technology speeds up quality inspection and optimizes the production process.

Sparko’s Visual Inspection Software:

Sparko’s machine vision software automates quality inspection and eliminates subjective assessments. It performs processes such as defect detection, product quality classification, assembly verification, and texture/surface classification quickly and easily. This software makes it easy to update your inspection process and offers high efficiency.

As a result, machine vision and deep learning technologies help you make your production processes more efficient, faster, and higher quality.