I will build visual defect detection system using yolov8 opencv anomalib

Netherlands

I speak English, Dutch

AI Developer, Computer Vision and Intelligent Automation

I develop AI-powered solutions that bring automation and intelligence to real-world systems. With a strong focus on computer vision, machine learning, and deep learning, I create models that detect, a...
About this Gig

I will build a visual defect detection system using YOLOv8, OpenCV, Anomalib, Python, and computer vision AI for automated quality inspection.


I can develop a system that detects defective, damaged, missing, or abnormal components from images or video. Depending on your application, I can combine object detection and anomaly detection to create a more effective inspection pipeline tailored to your products and defect types.


What I can build:

  • Visual defect detection
  • YOLOv8 object detection
  • Anomalib integration
  • Anomaly detection
  • Industrial quality inspection
  • Surface defect detection
  • Product inspection
  • Object localization
  • Image preprocessing
  • Custom model training
  • Real-time inspection
  • Python and OpenCV development


I can work with your existing dataset, inspection images, trained model, camera setup, or code, or develop the complete computer vision pipeline from scratch.


The system can be designed for manufacturing, production lines, packaging, components, surfaces, machinery, and other automated inspection applications.


Send me your sample images or videos, defect examples, inspection requirements, and target hardware, and Ill build the appropriate detection syst

APIs:

Microsoft Computer Vision AI

•

Amazon Rekognition

Expertise:

Image processing

•

Feature learning

•

Classification

Programming language:

Python

•

R

•

MATLAB

•

Colab

•

Java

Tools:

OpenCV

•

TensorFlow

•

MLflow

•

SimpleCV

•

CVAT

•

Colab

•

PyTorch

Frameworks:

DeepPy

•

Google ML Kit

•

SimpleCV

•

Keras

•

PyTorch