Human Detection Behind a Forklift

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Customer

Industries that focuses on inventory management

Project Details

  • Duration: 1 Month +

Technologies:

  • Deep Learning
  • OpenCV
  • Python
  • PyQt
  • Edge Computing devices
problem-img

Problem

  • Forklift operations in industries pose a risk of accidents, raising concerns about workplace safety.
  • Prone to Accidents such as collisions, tipping, or hitting workers are possible.
  • Factors like poor visibility, lack of safety measures, and human error increase the risk.

 

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Solution

  • We have mounted the camera along with the processing device on the backside of the forklift.
  • We have developed an AI model that detects individuals within a 3-meter zone
  • We have defined an arc behind the forklift, covering over 180 degrees Field of View.
  • The model also works on multiple human detections.
  • The provisions are given in such a way that even if an individual approaches the forklift, an alert will be triggered.

 

99.8%

Accuracy

18 FPS

Processed

Occupancy management and beyond with a virtual replica

Group 1000006569

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