AI-Enabled Inspection System
Product Description:
The AI Enabled Visual Inspection System utilizes state-of-the-art AI algorithms for defect detection using computer vision. It accurately identifies and assesses component defects, significantly enhancing quality control with high precision and efficiency. This technology reduces inspection time and improves product reliability in manufacturing environments.
How it works:
- Image Acquisition: Capture high-resolution images of components using industrial cameras or sensors for all angles.
- Preprocessing: Enhance image quality and remove noise to optimize data for predictions.
- Object Detection: Apply AI algorithms (such as convolutional neural networks) to detect defects within the components.
- Classification: Classify defects into several categories using state-of-the-art computer vision models.
- Decision Making: Determine the severity and type of defects to decide on further action (e.g., reject, repair).
- Reporting: Generate reports detailing inspection results and identified defects for quality assurance purposes.
- Feedback Loop: Continuously improve AI models based on feedback to enhance detection accuracy and efficiency over time.
Features:
- Advanced Object Detection
- High Accuracy and Precision
- Efficiency
- Versatility and Integration
- Continuous Improvement
- Edge Device Deployment
Technical Specifications:
- Compatibility: Compatible with various manufacturing environments and edge device deployments.
Technical Skills:
- Python
- Computer Vision
- Image Processing
- Edge Devices
- React
- Qt
- TensorFlow
- PyTorch
- Embedded Systems
Client:
- Amphenol