A smart digital platform that uses the internet of things (IoT), manufacturing execution system (MES), artificial intelligence, digital twins, big data and user interface applications to provide end-to-end solutions and modular applications.
Bilkent Cyberpark, H Blok, 1.Kat No: 13-14, TR-06800 Bilkent, Ankara Türkiye
TEKNOPAR Merkez Yerleşkesi Uzay ve Havacılık İhtisas O.S.B, G3 Caddesi No:9 06980 Kahramankazan / Ankara
tia@teknopar.com.tr
+90 312 395 99 07
+90 549 548 38 47
TIA QualityHealth consists of applications that utilize deep learning algorithms focused on defect localization and classification, performing near real-time image analysis on streaming data, and employing defect detection algorithms.
The first step of defect localization is using the relevant dataset. The TEKNOPAR image processing library is utilized at this stage. Images of defective and defect-free products are collected by industrial high-resolution cameras. The library contains functions for data augmentation, resizing, defective data identification, image enhancement, region of interest (ROI) extraction, evaluation, and appropriate labeling for their uses. Deep learning, classical image processing, or statistical methods are developed according to defect detection requirements. Thanks to the algorithms in the library, defects are localized and evaluated.,The results are presented to users through web-based applications. As a flexible system, TIA QualityHealth can be customized according to users' specific needs and requirements.
AI-powered TIA QualityHealth consist of the following applications:
Defect Detection and Classification System: Automatically detects defects using deep learning algorithms.
Surface Defect Analysis: Measures the size and location of defects such as scratches and discoloration.
Component Recognition: Identifies missing or damaged parts.
Label and Barcode Verification: Ensures accurate placement and content of product labels and barcodes.
Operator Safety and Workstation Monitoring: Detects hazardous situations to enhance workplace safety.
Detection of Color, Size, and Geometry Deviations: Performs highly precise measurements with millimetric accuracy. Detects micron-level defects on materials such as bearing surfaces, copper plates, and wood.
Robotic Guidance and Automated Production Line Inspection: Features include monitoring of personal protective equipment usage, automatic optimization of machine parameters, and internal structure analysis using X-Ray systems.