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AI Corrosion Detector

AI-Based Corrosion Detection System Using Raspberry Pi and Camera

project

This project focuses on the development of an AI-powered corrosion detection system using a Raspberry Pi and a camera module. The goal is to provide a cost-effective and portable solution for real-time monitoring and early detection of corrosion on metal surfaces, which is critical in industries such as infrastructure, automotive, and maritime operations.

The Challenge

With the innovative projects we faced some challenges and worked on them.

  • Limited processing power of Raspberry Pi for AI inference.
  • Accurate corrosion detection in varying lighting and surface conditions.
  • Real-time image processing with minimal latency.
  • Ensuring reliable detection in remote or offline environments.

 

The Solution

Our team worked well and resolved all the problems.

  • Optimized the trained model using lightweight architectures (e.g., MobileNet) and model quantization to ensure efficient on-device performance.
  • Collected a diverse dataset and applied data augmentation techniques during training to improve model robustness.
  • Streamlined the image capture and processing pipeline and used efficient code in Python to reduce delay.
  • Designed the system to operate fully offline using local inference, with optional integration for IoT-based alerts when connectivity is available.

 

Services Provided

1

UI/UX Design

2

AI Model Train

3

Python Scripting

The Results

Happy client with work before deadline.

We built a low-cost corrosion detection system using Raspberry Pi, a camera, and a trained AI model for real-time image analysis.

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