ARCA Yazılım · AI Defect Detection System

Capture perfection in modern manufacturing.

With the AI-Powered Real-Time Defect Detection System we developed at ARCA Yazılım, we remove the difficulties of manual quality control and turn your production line into an intelligent ecosystem.

This deep-learning platform brings the whole process together in a single solution — from capturing the camera image to building datasets, from model training to the real-time detection result reaching the operator.

Real-time analysis
97% detection accuracy
End-to-end training platform
Why AI-Powered Quality Control?

Manual inspection is slow, inconsistent and open to human error.

Traditional inspection struggles to catch defects such as scratches or cracks continuously without slowing production. The human eye tires and loses focus — AI never does.

Human Error

Over long manual inspections, distraction and fatigue directly affect consistency.

Slowing Production

Inspecting products one by one by hand limits the speed and efficiency of the production line.

Defects Caught Too Late

Defects noticed at later stages lead to rework, material loss and expensive product returns.

Inspection That Cannot Scale

When the shift or the operator changes, the same defect may be judged differently.

The platform we developed integrates camera-based visual inspection into your production line with deep-learning technology. The system analyses continuously — without tiring, without losing focus and without slowing your production — processing large datasets in seconds to instantly spot patterns the human eye can miss.

“Quality control is not only about finding the defect, but finding it at the right time.

How Does the System Work?

An end-to-end workflow that brings complex AI processes down to operator level.

The moment metal castings or components are presented to the camera, the system detects scratches, cracks and other deformations on them live, within milliseconds.

01

The part is presented to the camera

The metal casting or component enters the camera’s field of view on the production line; the system detects the part’s position automatically.

02

The AI analyses it instantly

The deep-learning model processes the image, evaluating every region of the surface within milliseconds and extracting candidate defects.

03

Defects are detected with their location

Scratches, cracks and other deformations are classified live, each placed with a bounding box and a confidence value.

04

The result reaches the operator instantly

The detection result is monitored live on screen with its confidence values, and the part can be separated automatically where needed.

05

The result is recorded and reported

Every detection is logged; this data feeds quality reports and continuous improvement work.

Try It Live

Run the system yourself — watch defect detection in real time.

Start the scan on the sample metal surface image below and see step by step how the AI model detects scratches, cracks and deformation.

CAM 01 · live preview
Sample metal surface image
Scratch 97.4%
Crack 94.8%
Deformation 91.2%
Standing by

How Does It Work?

When you press the button, the system scans the image just as it would on a real production line, analyses it with the AI model and marks each defect with its location and confidence value. This demo is a simplified simulation of the scan-analyse-detect flow in the real system.

  • Bounding box — shows the exact position of the defect on the image.
  • Confidence value — expresses as a percentage how certain the model is about that detection.

Result Panel

Once you start the scan, the results will be summarised here.

Example Use Scenarios

What does a day look like for the system, sector by sector?

Pick a sector from the tabs below and read how the system actually works in that production environment.

Quality control in the Automotive sector
Automotive

The morning shift at an automotive spare parts plant

Wheels and gearbox housings coming off the casting line pass in front of the camera at the quality control station. The system scans each part within seconds; the moment it detects a micro-crack it separates the part automatically and notifies the operator. At the end of the shift, the team sees a breakdown of every defect detected that day in a single report.

Thousands of parts are checked with the same precision throughout the shift, without fatigue.
A defective part is stopped before it reaches the assembly line.
The end-of-shift report shows which defect increased, on which line and at what hour.
An End-to-End, Flexible and User-Friendly Platform

Not just software — a complete ecosystem you can manage yourself.

We designed a graphical interface that operators at every level can use comfortably, with no coding or AI expertise required.

The AI Defect Detection System is not just software but a complete ecosystem you can manage on your own. With a graphical interface (GUI) that operators at every level can use comfortably, and no need for coding or AI expertise, you can set AI parameters manually or automatically and monitor detection results live on real-time screens.

Ease of Use

A Clean Graphical Interface

Set AI parameters manually or automatically and watch the results live on screen.

Dataset

Easy Labelling

Build datasets from images of your own production line and label those images easily within the platform.

Training

Train Your Own Model

Train and optimise your own AI models for your production needs or for newly emerging defect types.

Deployment

Go Live in One Click

Push the best trained models straight into the live production environment in one click.

model_training · v11

Try training your own model

Training progressepoch 0 / 100

mAP

precision

recall

Press the button to start training
No Two Production Lines Are the Same

Not a fixed package, but a platform shaped around your line.

The platform can be customised for different metal types, defect categories, camera infrastructures, lighting conditions and production speeds. The aim is for users to manage the system without needing AI or software expertise.

Metal type
Defect categories
Camera infrastructure
Lighting conditions
Production speed
Production line structure
AI model
Training dataset

We do not offer a one-size-fits-all package; we configure the system together, around your business’s real production conditions.

The Measurable Value It Brings Your Business

It does more than find the fault; it protects your margin and your reputation.

While speeding up your quality control processes, this system delivers directly measurable value to your business.

0%
Accuracy rate
Max.
Lag-free speed in FPS
0%
Data security
24/7
Continuous analysis potential
Accuracy

Exceptional Reliability

A 97% accuracy rate delivers consistent, repeatable performance across your quality control processes.

Speed

Maximum Speed

Thanks to multi-threading optimisation it runs smoothly at high FPS values, with no lag at all.

Ownership

100% Data Security

You are not dependent on cloud systems or external services; all data and models belong entirely to you.

Savings

Cost Savings

It lowers inspection times and labour costs, and prevents defective products reaching the customer along with expensive recalls.

Where do the cost savings concretely come from?

Reducing inspection times
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

The 97% accuracy rate is based on project data; the 100% data security statement 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.

Which Sectors Is It Ideal For?

Readily customisable for different metal types and defect categories.

The system has a flexible structure that adapts easily to different production lines. Its main areas of use:

Metal part quality control in the Automotive sector

Automotive

Quality control of critical metal parts such as wheels, gearboxes and engine housings in spare part and component manufacturing.

Metal part quality control in the Aerospace sector

Aerospace

Precise visual inspection of aerospace metal castings, where tolerances sit far below a millimetre.

Metal part quality control in the Industrial Machinery sector

Industrial Machinery

Defect detection in the manufacture of industrial machine parts such as high-value machine housings and gear assemblies.

Metal part quality control in the Metalworking and Fabrication sector

Metalworking and Fabrication

Uninterrupted inspection that does not slow production across laser cutting, welding and general metalworking processes.

Why ARCA Yazılım?

In AI-driven transformation, we offer more than a solution partner.

Sector Expertise and Experience

We know the difficulties of industrial processes. We built our software with engineering precision around the needs of real production lines, not a laboratory environment.

Customisable Architecture

Every production line is unique. Instead of standard packages, we offer a flexible structure that fits your metal types, your lighting conditions and your defect types exactly.

Continuous R&D Support

The AI world changes fast. By integrating the latest deep-learning algorithms into your system, we keep your investment current at all times.

Local Strength, Global Standards

As a local partner we offer fast technical support and on-site response, while making no compromise on international quality and security standards in our software architecture.

Request a Demo

Reach Zero Defects in Production with ARCA Yazılım.

With this technological foundation that grows and scales alongside your production capabilities, take your product quality and customer satisfaction to the highest level. Get in touch with us for solutions tailored to your project and a system demo.

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