CCTV Analytics

Types of CCTV Analytics

Along with capabilities such as Object Detection Cameras and Stopped Vehicle Detection, progressive surveillance can provide a range of CCTV analysis techniques depending on the location and purpose of the security system.

• Automatic number plate recognition can be a simplified system to track repeat visitors or cars or an AI-driven control system to streamline site entrances. Cameras can determine if a number plate relates to an authorised vehicle, capture instances of vehicles travelling at speeds, and alert security responders when a black-listed car is spotted.

• Server-based CCTV analytics are a cost-effective way to scale the capacity of legacy hardware. AI analysis can detect the presence or absence of specific people, objects and vehicles, report on the direction of travel, and classify objects to exclude or include items depending on your search parameters.

• Camera-based analytics are the gold standard in intelligent assessments, processing data at the camera itself to detect an event – such as changes in audio levels, intrusions or image changes – triggering alarm activations.

CCTV analysis is wholly customisable, with the ability to be programmed to respond to predefined events, actions or movements that fall outside of your expected norms.

Key Features of CCTV Analytics

Extracting actionable information from your CCTV recordings in real-time is an excellent way to take a proactive approach to manage security risks or incidents.

Numerous features combine to deliver comprehensive coverage:

• Direction motion detectors raise alerts when a movement occurs in a precise way, with the flexibility to define areas of interest and activity thresholds.
• Adaptive motion detects behaviours calibrated to the monitored area, distinguishing between natural actions (such as blowing leaves) and suspicious events.
• Vibration removal means that your video quality is exceptionally clear and is ideal for external cameras with a long-range focus.
• Object counting and removal can be programmed to issue a signal when an activity threshold is reached, aimed at targets within protected zones.
• Camera sabotage features have the functionality to determine if a video has been compromised, such as an intruder covering the lens or trying to reposition a fixed camera.
• Auto tracking uses pan, tilt and zoom movements to trace vehicles or individuals of interest, locking on the pathway of travel and enabling precision responses.

Please contact the Clearway team for additional information about any of these features and how adaptive CCTV analytics could enhance your overall security surveillance processes.