VCA sets a new benchmark for Thermal imaging cameras for security, fire prevention and temperature monitoring applications. A high proportion of incidents happen in low light conditions. It is therefore important that a detection system is capable of operating equally well both during the day and what could be total darkness.
Available at a price point not previously seen, VCA’s new Intelligent Thermal IP bullet cameras with on-board analytics offer a compelling cost comparative to the usual method of combining standard surveillance cameras with passive detectors for perimeter detection applications, and particularly so when a single camera offers the potential to detect activity at a distance of up to 600 metres.
In addition to being highly affordable, our VCA-6500TC and VCA-650LD Intelligent Thermal IP bullet cameras are equipped with the VCA video analytics engine and as such, offer a single device solution providing intrusion detection and alarm verification day or night, whatever the lighting conditions. Designed to detect objects and people that might otherwise be impossible with traditional video surveillance cameras in environmental conditions such as through smoke, snow, heavy rain and fog, they are also ideal for projects where it is not possible to install supplementary lighting, or where there are concerns about light pollution.
Early warning detections systems utilising Thermal imaging cameras have been available for a number of years but they have been expensive to deploy simply because of the capital cost of the cameras. They have also been difficult to monitor and have been prone to false alarms.
The VCA-650LD also supports tMonitor, a temperature monitoring Application, which can be configured to detect potential faults in, for example, cold stores and freezers, as well as detect the danger of fire due to plant or machinery overheating.
Within a predetermined range, high and low temperature fluctuations can be detected in four different ‘regions of interest’ in a cameras’ field of view, with alerts generated to enable operators to take swift, appropriate action.
It can also be used to improve energy efficiency by monitoring temperature variations in real-time in any building environment.