Human Error
Over long manual inspections, distraction and fatigue can affect the consistency of quality control.
AI-Powered Industrial Quality Control
Leave Finding Production Defects to Artificial Intelligence.
The AI Defect Detection System is a camera-based, deep-learning quality control platform that detects scratches, cracks and other defects on metal surfaces in real time.
- 97% Detection Accuracy
- Real-Time Analysis
- On-Premise Data Processing
- Customisable AI Model
Real-Time AI Inspection
CAM 01 · 1920×1080
Scratch 97.4%
Crack 94.8%
Defect Detected
Processing: 24 msThe Problem
Why is defect control in manufacturing still so hard?
Manual quality control has its value, but as scale grows it becomes increasingly difficult to keep both consistency and speed.
Lost Time
Inspecting products one by one can slow down production speed and operational efficiency.
Inconsistent Inspection
The same defect may be judged differently across shifts or between operators.
Defects Caught Too Late
When defects surface later in the production process, they bring costs such as rework, material loss and customer returns.
“Quality control is not only about finding the defect, but finding it at the right time.”
The Solution
Redesign Quality Control with Artificial Intelligence.
The AI Defect Detection System combines camera-based visual inspection with deep learning to analyse metal parts on the production line in real time.
End-to-End System Flow
Camera
Image capture
Image
Pre-processing
AI Analysis
Deep learning
Defect Detection
Location + class
Result
Sent to the operator
How Does It Work?
From Image to Decision in Seconds.
From the moment the part is presented to the camera through to the result reaching the operator, the whole process runs as one smooth, lag-free flow.
Processing Stage 01
01
The part is presented to the camera
The metal part to be inspected is positioned in the camera’s field of view on the production line.
02
The camera feeds the image into the system
A high-resolution camera delivers a live image of the part to the system without delay.
03
The AI analyses the image
The deep-learning model processes the image and evaluates every region of the surface.
04
The model detects the defects
Scratches, cracks and other defined defect types are classified and pinpointed by location.
05
The result is shown to the operator
The detection result appears on screen in real time, together with defect locations and confidence values.
06
The result feeds the quality process
The outputs can be used in quality control decisions, reporting and continuous improvement.
Real-Time AI Inspection
See Defects Instantly, Together With Their Location.
As it scans the metal surface, the system marks the defects it finds directly on the image, presenting each region to the operator with its type and confidence value.
Location-based marking
Every defect is placed on the image with a bounding box.
Confidence value display
Every detection is listed with the model’s confidence score.
Lag-free stream
Scanning and display run smoothly in real time.
LIVE · CAM 013 defects detected
Scratch 97.4%
Crack 94.8%
Deformation 91.2%
Scratch
97.4%
Crack
94.8%
Deformation
91.2%
The defect types and percentage values in the image are shown for interface illustration only and are not an actual measurement result from the system.
End-to-End AI Training Platform
Train an AI Built for Your Own Production.
No two production lines have the same defects. The system lets you build datasets from images of your own line, label those images, train models and optimise them for your production needs.
model_training · v11
Dataset
1,248 images
Labelling
scratch
crack
Training progressepoch 84 / 100
mAP
0.94
precision
0.96
recall
0.93
Dataset creation
Image upload
Image labelling
Defect classification
Model training
Model evaluation
Model optimisation
Deploying the trained model
User Experience
No AI Expertise Required.
Complex AI infrastructure turns into a clear, simple experience for the operator. The system can be designed to fit naturally into the daily flow of your field teams.
User-friendly graphical interface
Real-time detection screen
Management of AI parameters
Manual and automatic parameter settings
Training module
Model management
Visual monitoring of results
“Complex AI infrastructure becomes a simple experience for the operator.”
Performance and Technology
A Powerful AI Infrastructure Behind the Scenes.
A high-performance image processing infrastructure helps images from the production line be analysed smoothly and without delay.
Advanced AI ModelsComputer VisionDeep LearningReal-Time Image ProcessingMulti-threading
Deep-Learning Based Detection
Advanced deep-learning and object detection architectures locate and classify defect regions with millimetric precision.
Real-time image processing
A high-performance processing infrastructure helps images from the production line be analysed smoothly and without delay.
Multi-threading optimisation
A parallel processing approach supports efficient evaluation of the image stream.
ARCA Yazılım’s AI Capability
AI Expertise That Goes Beyond Image Processing.
ARCA Yazılım brings different AI technologies together according to the use case, with the capability to build manufacturing, automation, image processing and intelligent decision systems.
Microsoft Semantic KernelAzure OpenAIAzure AI Agent ServiceOpenAI APIMCPRAGAgentic RAGMulti-Agent ArchitectureRedisn8n.NET
MCP
Tool and data integration through the model context protocol.
Agentic RAG
Context-aware retrieval and reasoning.
Multi-Agent Orchestration
Multiple agents working in coordination.
Conversational AI
Interfaces that interact in natural language.
Voice AI
Voice command and response capabilities.
Multimodal AI
Analysis combining text, image and audio.
The technologies above represent ARCA Yazılım’s general AI capability; they can be selected and combined according to the use case, and do not mean they are all necessarily part of the AI Defect Detection System.
Measurable Value
AI Sees More Than the Defect — It Sees the Cost.
Automating quality control lays the ground for measurable, consistent improvements across production processes.
0%
Detection accuracy
Real time
Visual analysis
0%
Data ownership
24/7
Continuous analysis potential
Reducing inspection time
Reducing labour costs
Preventing defective products from reaching the customer
Reducing the risk of product returns and recalls
Reducing material waste
Making the quality standard more consistent
100% data ownership refers to the system being able to run without a mandatory dependency on external cloud services, and to ownership of the data and models remaining with the business.
Data Security
Your Data and Your Model Stay Under Your Control.
It can be designed so that control over your production data and the models you train stays within your business.
No Mandatory Dependency on External Services
The system can be designed to run without a mandatory dependency on external cloud services.
Ownership Stays With the Business
Control over your production data and the models you train can remain with your business.
You Stay in Control
Data and model management can be configured to suit your corporate requirements.
Adaptability
No Two Production Lines Are the Same.
The system can be customised for different metal types, different defect categories and different production line structures. Instead of a one-size-fits-all package, it offers a flexible platform that adapts to your production.
Metal type
Defect categories
Camera system
Imaging conditions
Production line structure
AI model
Training dataset
Use Cases
Where Can AI-Powered Quality Control Be Used?
A flexible solution that can be considered across a range of manufacturing areas requiring metal surface inspection.
Automotive
Quality control processes for automotive parts and metal components.
Aerospace
Visual inspection of metal castings and critical parts.
Industrial Machinery
Inspection of machine parts and metal components.
Metalworking and Fabrication
Visual defect detection across different metalworking processes.
Why ARCA Yazılım?
We Bring AI From the Lab to the Production Line.
ARCA Yazılım focuses on turning AI into a solution that works under real production conditions.
Sector Expertise
An engineering approach that understands what real production processes need.
Customisable Architecture
A structure that adapts to the different needs of every production line.
Continuous R&D
An approach of ongoing development that follows advances in AI and deep learning.
Local Technical Support
Fast communication and technical support for businesses in Türkiye.
End-to-End Approach
A holistic approach spanning dataset to model training, production environment to system development.
Strengthen human expertise with artificial intelligence.
AI can be integrated into production processes not to replace people, but to make human expertise faster, more consistent and more measurable.
Move Your Production Line to AI-Powered Quality Control.
Let’s evaluate together a solution tailored to your production process, your part types and your defect categories.