[Automatic Systems 2] Person detection with laser scanners | BEAMS

[Automatic Systems 2] Person detection with laser scanners

Project information
Project type: 
Master thesis
Academic year: 
Research unit: 
Embedded Electronics
BEAMS supervisors
External supervisors
Kevin De Cuyper
Industrial promoter

Automatic Systems has developed an extensive portfolio of turnstiles as shown on AS website. One of the main issues in the high-security market is to accurately detect and count persons in the turnstile. The detection method must be resilient to a wide range of lighting conditions, person morphologies, person behaviors, frauds,…The current detection systems use discrete IR cells.

The aim of the proposed thesis is to develop a new detection system using low-cost LIDAR or laser scanner. For example, sensors developed by BEA could be used (see BEA website for further details).

The main work packages are:

  1. Review and select the sensors,
  2. Develop a test bench. The objective of the test bench is to record data on a set of real-life usage patterns. The test bench will be built by the Automatic Systems prototyping team,
  3. Develop an algorithm to reconstruct 2D images from the sensors data,
  4. Develop the detection SW using tracking algorithms,
  5. Evaluate the detection performances and compare to the current system.

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