Visual Surveilance System
Using advanced image analysis techniques,
the Visual Surveillance System is able to
detect and segment activity, detect, identify
and track objects and events and record
information captured by surveillance cameras
(and other security sensors) in real-time.
Artificial intelligence is used to prioritise
these observations so that, once correctly
configured and trained, the system can automatically
trigger alerts for user defined events and
bring the most important security issues
to the attention of security staff.
The system uses a highly scalable and
robust database to store recorded video
and associated high-level semantic information
over large periods of time, providing
significant benefits over today's most
advanced digital video recorders.
The interface for the video surveillance
system had been specifically designed
for security professionals. It provides
access to real-time and recorded data
using many innovative features that improve
the process of security surveillance and
response management and readily provides
the operator with all of the high-level
information created by the system.
The Visual Surveillance System is designed
to integrate with existing surveillance
and IT infrastructure as well as being
used as a standalone turn-key solution.
Solving real-world Security and
Surveillance Problems:--
- Increasing pressure on organisations
for a higher level of security
- Increasing number of surveillance
cameras
- Information overload
- Management of privacy concerns
- Need for integrated surveillance systems
- Increasing desire to detect abnormal
events
- Budgetary pressure of increasing security
staff payroll
- Current surveillance systems record
everything with little or no intelligence
- Limited storage space and network
bandwidth
|
