thermal vision tough book

Thermal Vision ToughBook​

Client: Global smart and rugged devices manufacturer

Technology

  • Google and Windows 10 API’s (supplied from Google Cloud & Windows 10 UWP libraries)
  • Geolocation Google Maps API
  • Reverse geolocation API
  • Azure
  • Blob repository SMTP (SendGrid) for emails
  • NoSql User tables (for storing settings
  • .NET Core 2.1.
  • WebApi Azure B2C Authentication (JWT based authentication)

Services

Development of an AI-based solution for thermal detection of water leakage in the fields

Challenges

The Client came to us with a request to build a solution that would use their tablet and thermal sensors in order to identify water leakage in the field.

The timeframe was very short – our rinf.tech team had less than 4 weeks to build and deliver the product to the Client. That short timeframe included:

  • discovery phase
  • technical analysis
  • application development from scratch.

Solution

By pointing the tablet at the ground, the application (using the thermal sensors) would detect leakage in areas with water pipes and send this data along with the geo coordinates to the cloud.

A technician walks along the water pipes with the tablet pointed to the ground to gather data that is automatically pushed to the cloud infrastructure and gets aggregated into a detailed report. Using thermal sensors, the app analyzes the ground temperature and records all temperature deviations to find a water leakage area.

The solution has the following features:

  • It works in offline mode, generating sessions and submitting them to the cloud as soon as the internet is available.
  • It’s easy-to-use: you can start a new session right away or resume a previously paused session.
  • It makes use of Microsoft’s latest stack of technologies, UWP, .NET Core, and cloud solutions.
  • Customizable settings.

Methodology

As the timeframe was short and requirements were fixed and clearly defined, Iterative Waterfall methodology with daily stand-ups was chosen.

Main phases:

  1. Situation Analysis – business needs identification and use case creation.
  2. Process Analysis – definition of the main workflows in the application.
  3. Solution Design – identification of the most appropriate technical solution and acceptable limitations for proofing the concept of the application.
  4. Estimation & Development planning using Gantt chart.
  5. Solution development and release.

Results

  • 66% decrease in water leakage detection time.
  • 23% decrease in structural damage to walls, floors, and metal fittings due to water leakage.
  • 50% cost reduction due to leakages.
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Targeted devices

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