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Safety Line Monitoring & Overspeeding Detection

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Customer

A leading container depot in the USA dedicated to logistics and transportation operations.

Project Details

  • Duration: 2+ Months

Technologies:

  • Deep Learning
  • Python
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Problem

Difficulty in accurately tracking truck movements and speed can lead to delays and mismanagement in logistics.

The main challenges are:

  • Tracking truck speed accurately
  • Detecting unauthorized movement in restricted areas
  • Sending alerts on time.
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Solution

  • We developed an application with computer vision in it to track vehicles on-site in real time.
  • The application detects the and measure the speed of the vehicle.
  • Identifies unauthorized human movement in restricted areas with quick alerts.
  • Integrated video recording for alert events for review and verification.
  • After multiple attempts and model training on diverse data, achieved usable and trustable accuracy for generating alerts.

99%

Accuracy

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