Video Analytics
Video Analytics
Video content analysis (also video content analytics (VCA)) is the capability of automatically analyzing video to detect and determine temporal and spatial events. This technical capability is used in a wide range of domains including entertainment,[1] health-care, retail, automotive, transport, home automation, flame, and smoke detection, safety, and security.[2] The algorithms can be implemented as software on general-purpose machines, or as hardware in specialized video processing units. Many different functionalities can be implemented in VCA. Video Motion Detection is one of the simpler forms where motion is detected concerning a fixed background scene. More advanced functionalities include video tracking and ego-motion estimation.
Based on the internal representation that VCA generates in the machine, it is possible to build other functionalities, such as identification, behavior analysis, or other forms of situation awareness. VCA relies on good input video, so it is often combined with video enhancement technologies such as video de-noising, image stabilization, unsharp masking, and super-resolution. Integrated with CCTV video analytics, both facial and general recognition software systems are capable of counting, measuring speed, and monitoring direction. For example, recognition systems can monitor the duration of time that people are present in a specific area or how long an unattended bag has been left.
People Foot Fall Visitor Counter Camera Analytics
Some video analytics solutions are even capable of understanding color. Intelligent video analytics software can recognize different behaviors and create an alarm on a user-defined rule, such as “person moving from vehicle to vehicle in a car park” or “large white vehicle parked in the controlled zone”. Intelligent video can also improve the efficiency of control room operators, automate alarms for non-monitored systems, rotate PTZ cameras to zoom into objects creating alarms, and save time when searching CCTV recordings.
SafeCity video surveillance solutions offer analytics such as Facial Recognition, Advanced Object Tracking, License Plate Recognition, Dwell and Loitering, People Counting, Queue Management Analysis, and Demographics. The Analytics of our works with IP, analog, and megapixel cameras and is tightly integrated with data and search, requiring no additional hardware to be used. You can easily download video analytics and activate it with license keys to run the software on your VMS.
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Video analytics is the use of sophisticated algorithms applied to a video stream to detect predefined situations and parameters. These can include but are not limited to the following:
- Line crossing
- Color search
- Zone intrusion
- Objects left behind
- Crowd gathering
- Camera tampering
- Outdoor smoke detention
- Retail analysis of customer behavior
- Retail people counting
- More reliable than pixel-based motion detection
- Motion Tracking – Following a moving object across the camera’s view
- Object detection – Detect a moving object in the camera’s view
- Object classification – Identify the type of object moving (Person, animal, Vehicle)
- Direction Flow – Identify the direction of a moving object
- Loitering – Alert if object stationery beyond a predefined time
- Left/Removed object – Alert if an item is left or removed from a predefined area
- Face detection
- Detect and record faces
- People Counting
- Facial recognition
- Traffic monitoring
- Number plate recognition
- Trespasser detection
- Perimeter detection
- Perimeter detection
The solution finds and extracts faces in the video. These faces can then be filtered by:
- age
- gender
- wearing glasses/no glasses
- Mood