Security Direct
No fuss. Affordable. Great service
Gate motors, electric fencing, CCTV, intercoms, garage doors & garage door motors.
Call or Whatsapp now on 082 498 1272
CCTV News
Provision-ISR’s Rainbow cameras, equipped with CNV (Color Night Vision) technology, return sharp and superior quality colors even in poor light conditions, providing visual details that significantly contribute to the identification of people or objects.
Available in the Turret/Dome and bullet versions, with 2MP and 4MP resolutions, the cameras are equipped with a built-in LED light source, F1.0 super-wide aperture lens, and state-of-the-art sensors, which are more sensitive to light than those of traditional infrared technology (black and white).
Crimes such as theft, drug violations, simple assaults, robbery, or vandalism are known to be more likely to occur at night. The Provision-ISR's Rainbow cameras can provide authorities with crucial information, such as people's clothes or car’s color.
HIGHLIGHTS:
-
- FULL-COLOR IMAGE AT NIGHT
-
- EXCELLENT DETAIL VISIBILITY
-
- BETTER CONTRAST
DDA™ VIDEO ANALYTICS is part of the Artificial Intelligence features developed by Provision-ISR. Based on smart objects recognition technology, DDA™ VIDEO ANALYTICS allows the system to distinguish between:
THE END OF FALSE ALARMS
Unlike "Motion Detection“ (which is based on Pixel changes), Provision-ISR DDA™ VIDEO ANALYTICS is able to distinguish the type of “object" and to activate an alarm only in the case of a truly "suspicious" detection.
This ability significantly reduces all the false alarms caused by rain, shadows, light changes, shacking trees, animals, etc.
Check out the line crossing in action in a domestic application proudly installed by security direct
INTELLIGENT AUTO-TRACKING PTZ
Don't lose sight of your target
ARTIFICIAL INTELLIGENCE ON BOARD
Our new Intelligent Auto-Tracking PTZ cameras rely on Provision-ISR’s object recognition technology (DDA™ Video Analytics) to find objects of interest on the site (humans, 2-wheeled vehicles, or 4-wheeled vehicles) and to track the object’s movement within the field of view.
