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ML model and data processing pipeline for manufacturing

Project for image analysis using ML to detect harmful emissions in manufacturing

ML model and data processing pipeline for manufacturing
  • Location
    • North America
  • Client
    • Furniture factory
  • Industry
    • Manufacturing and energy
  • Project type
    • ML model
  • Project services
    • ML Engineering / Computer Vision
  • Problem
    The main task of this project was to develop an ML model capable of detecting and annotating smoke coming from factory chimneys in images. In addition to the model itself, a data pipeline needed to be implemented to process a large number of surveillance camera images in real-time for smoke detection.
    The model was trained using manually annotated data with images of smoke coming from chimneys in various weather conditions
  • Solution
    The model and data pipeline were successfully implemented at various client factories in North America. The solution enabled real-time monitoring of factory conditions, alerting to unforeseen situations related to the emission of harmful substances into the air, as well as detecting emergency situations. With a model accuracy of 81%, the system reduced the number of incorrect decisions made by personnel and allowed the implementation of an external automated system for starting and stopping production based on the situation assessment

  • .Python

  • .Azure

  • .Apache

  • .OpenCV

  • .numpy PyTorch

Do you have an idea?

We will create an ML model to solve your business challenges

Highlights of the developed ML model

  • #01

    Data processing from 150 cameras

    Developed a data pipeline capable of processing a large number of images from 150 cameras in real-time

  • #02

    81%

    The accuracy of the ML model recognition is 81%

Technologies

Python

Azure

Apache

OpenCV

numpy PyTorch

Development process

In Ifortex we have a cohesive team of professionals across various IT fields, enabling us to handle projects end-to-end without needing external specialists. No matter how complex the project is, all you need to provide is the idea — Ifortex will take care of everything else.

  • 01

    Contact us

    We will assess your needs and propose the optimal technical solution to implement them.

  • 02

    Requirements Gathering and Business Analysis

    Our business analysts will gather all the details of the upcoming project and create a scope of tasks for the technical team.

  • 03

    Budget Estimation and Coordination

    In Ifortex we ensure that our final budget estimates are both clear and transparent. We provide a detailed breakdown of how each ruble of your budget will be allocated. The project is structured into a comprehensive set of tasks and subtasks, each of them is estimated in terms of hours with fixed pricing depending on the specialist performing the work.

  • 04

    Development

    Whether it's a web or mobile application, Ifortex will always recommend the optimal tech stack for your idea or professionally implement your technical vision of the project.

  • 05

    Testing

    Strong team of AQA and QA professionals will ensure the stability and reliability of your application.

  • 06

    Production Deployment

    Our DevOps specialists will deploy your project on the server and help you choose the optimal hardware configuration based on your load.

  • 07

    Project Support

    If needed we are ready to provide long-term support for your solution. Also we offer a warranty period during which any discovered issues or bugs will be fixed completely free of charge.

ML model and data processing pipeline for manufacturing

Project for image analysis using ML to detect harmful emissions in manufacturing

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  • .Python

  • .Azure

  • .Apache

  • .OpenCV

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