AI-Enabled

Inspection System

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.

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How it works

A comprehensive AI-powered defect detection system for manufacturing, leveraging advanced computer vision and edge device deployment to ensure high accuracy and efficiency. It integrates seamlessly into various environments and continuously improves through feedback.

Image Acquisition

Capture high-resolution images of components using industrial cameras or sensors to cover all angles.

Preprocessing

Enhance image quality and remove noise to optimize data for accurate predictions.

Object Detection

Utilize AI algorithms, such as convolutional neural networks, to detect defects in components.

Classification and Decision Making

Identify defect types and severity to decide on appropriate actions like rejection or repair.

Reporting

Generate detailed reports on inspection results and identified defects for quality assurance.

Feedback Loop

Refine AI models continuously with feedback to improve detection accuracy and efficiency.

Classification and Decision Making

Identify defect types and severity to decide on appropriate actions like rejection or repair.

Reporting

Generate detailed reports on inspection results and identified defects for quality assurance.

Feedback Loop

Refine AI models continuously with feedback to improve detection accuracy and efficiency.

Key features

Advanced Object Detection: Precisely identifies defects using AI.

High Accuracy and Precision: Ensures consistent quality.

Efficiency: Supports rapid real-time processing.

Versatility and Integration: Adapts to various environments.

Continuous Improvement: Evolves through ongoing feedback.

Edge devices enable decentralization.

Easily expands for growing needs.

User-Friendly Interface: Dashboard for managing inspections.

Tech Stack

  • Python
  • Computer Vision
  • PyTorch
  • Image Processing
  • Edge Devices
  • React
  • Qt
  • TensorFlow
  • Embedded Systems

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Villa Samyak, Pallod Farms-3, Next to Tejas Elysian,
Baner, Pune 411045, Maharashtra

info@syncthreads.in

+91 738 733 3297