Keith Veloso's profile

SaaS IOT Video Surveillance with Face-Matching

I designed this platform to monitor criminal activity. Using the same IOT technology, the platform allows police headquarters to track and monitor places in the city that has a video surveillance camera attached to the platform. Cameras also match footage with recorded footage of existing criminal records in the platform's database. The police are then notified if the individuals in the footages match those on their "most wanted" list of fugitives.
Apart from matching footages, the system also provides police HQ with a list of live and recorded history of criminal activity in the city along with a list of devices and monitors located around the city. This allows police HQ to look at recorded and live incidents from multiple camera angles and locations.

Apart from criminal activity, the cameras can also record incidents of fire, medical emergencies, or domestic violence. A topology map shows the relation of devices from each other.

Using progressive disclosure and natural head movements, abstract information like basic tools, main listings, search and filtering are on the left. Main work area, media player and gallery are in the middle. Specific and advanced information like incident details, tasks, and cases with time stamps are on right.
SaaS IOT Video Surveillance with Face-Matching
Published:

SaaS IOT Video Surveillance with Face-Matching

Published: