Developed Machine Learning based Application using Time-of-Flight Camera Sensors

Client Overview

Global manufacturer of advance electronic devices/components in the field of automation.

Business Need

  • The client was looking for a technology partner to help them design a solution for human detection & further analysis for their B2B customers in the domain of buildings & premises, using their Time-of-Flight camera sensor

VOLANSYS Contribution

  • Developed Linux based Machine Learning application to interface with Time-of-Flight camera sensor
  • Processed 3D point cloud data from the camera sensor data using Support Vector Machine algorithm and Histogram of Oriented Gradients feature descriptor to detect human presence and counting
  • Integrated off-the-shelf 3D viewer in the application to display input frames supporting 10 human detection in one frame and user configurable detection zone & frame resolution
  • Integrated the application in Robot Operating System (ROS2) to expand the opportunity scope in robotic market as well

Solution Diagram


Benefits Delivered

  • Integration of Robot OS has helped the client to reduce the entry barriers for the client’s product into robotics domain by minimizing the system integration efforts
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