Success Stories (intelligent Apps)

intelimek > Success Stories (intelligent Apps)

intelligent Apps

At Intelimek Systems, we intelligently integrate AI with industry tools to enhance manufacturing efficiency across Automotive, Chemical & Process, Food, Pharma, and more. Discover how we ‘Inteligize the Making’ for operational excellence and sustainable growth.

Custom IIot

Custom IIOT APP for production monitoring

Empowered the client to leverage IIOT for real time productivity monitoring and extract insights for improvements with customization of existing platform

Challenges & Objective

  • Existing IIOT platform with standard features is insufficient to support all requirements
  • Actionable insights not available for analyzing gaps; therefore can not improvise
  • Performance issues with data availability over longer durations
  • Customization to handle operational aspects – shift timing, Job IDs, engineering cycle times etc
  • Dashboards to display all relevant KPIs
  • Data snapshots for quick data analysis over months

AI ML Model Development & Management Platform

“No Code” Web based Machine Learning models development and management platform will enable domain experts to embrace AI & ML quickly, without getting into details of model development is very important to tackle all these issues

Challenges & Objective

  • Domain experts require python knowledge to develop the ML models or have python developers in the team
  • Maintaining the models and refining over time is difficult
  • Data preparation tasks are time consuming
AI ML
  • Easy GUI interface for data preparation & model development
  • Develop multiple models, compare different algorithms and publish the most suitable ML model
  • “No Code” workflow and web deployment enables wider adoption
iiot

IIOT & ML based Weld Quality Prediction in Cold Rolling Plant

Unsafe and error-prone hammer test for weld inspection is replaced with ultrasonic & AI based technique

Challenges & Objective

  • Hammer test is performed to check the quality of the weld
  • Error-prone as well as involves risk of injury or human life
  • Any weld failure in the process causes complete shut down of the mill resulting into heavy losses

 

  • Hammer test is replaced with ultrasonic head scanning the complete weld
  • Real time analysis of ultrasonic scan data to assess the metal thickness variation along the length of the weld
  • Machine learning of the processed scan data for prediction of weld quality

GUI and Cloud Deployment for Engineering Solver OEM

Easy and wider access to the simulation solver is enabled by developing API interface to solver functionalities, Web GUI and cloud enablement

Challenges & Objective

  • OEM has developed Multiphysics solver
  • Almost impossible for other users to access in the absence of GUI
  • Very difficult to provide access to the customers who do not have large compute facility
GUI
  • Easy GUI interface for data preparation & model development
  • Develop multiple models, compare different algorithms and publish the most suitable ML model
  • “No Code” workflow and web deployment enables wider adoption
WhatsApp Image 2024-09-03 at 11.22.58 AM

Edge Computing and Embedded Device – Advanced Materials industry

Portable edge computing device will simplify field inspection using multiple sensors – thermocouples, Acoustic, Vibrations, Vision

Challenges & Objective

  • Deploying sensors and data acquisition in the field is difficult due to variety of sensor protocols
  • Managing and transferring data for analysis is tedious and time consuming
  • Real time insights are not available
  • Multi-sensor adapter is developed for handling various protocols
  • Edge computing is performed so that data is analysedreal time

Optimal Cycle Design for Multi-transporter Chemical Treatment OEM

Application with optimization features allows the process expert to configure multi-transporter program of chemical treatment plant for maximum loads per cycle

Challenges & Objective

  • Multi-transporter system has multiple constraints due to various treatment tanks and soaking times
  • Coming with optimal program using manual methods take up few days; resulting into losing the contract against competition
WhatsApp Image 2024-09-03 at 11.22.58 AM (1)
  • Mathematical model is developed which solves design space covering all process ranges
  • It allows the process expert to perform fine tuning and arrive at optimal solution in minutes against days