[Technical Notice] GV-VMS PVD Motion Detection Usage and Case Studies

[joycechang]

Article ID: GV1-23-05-30
Release Date: May 30, 2023

Applied to
GV-VMS V18.3

Introduction
False alarms have long plagued security personnel, so reducing false alarms is a top priority for surveillance systems. People and Vehicles Motion Detection (PVD) in GV-VMS uses deep-learning algorithms to provide more robust and accurate motion detection capabilities than other motion detection approaches.

Although PVD motion detection has significantly advanced motion detection capabilities, achieving 100% accuracy is highly challenging due to inherent complexities and uncertainties in real-world scenarios. The PVD algorithms use several detection thresholds to determine detection sensitivity or to filter out false positives. You can fine-tune the thresholds to optimize the accuracy and performance of PVD motion detection for your cameras and applications.

The documentation also includes case studies on how to fine-tune the PVD motion detection, as well as the most recent software patch for improving the current PVD motion detection.

Pls. find the documentation at this link: https://s3.amazonaws.com/geovision_down ... tudies.pdf

Latest Software Patch
The latest software patch for the PVD motion detection is the patch V18.3.1.18, which must
be applied in GV-VMS V18.3.1.
GV-VMS patch V18.3.1.18 download: viewtopic.php?t=2651