A lot of people do not realise just how effective CCTV can be now. Video analytics can transform regular CCTV systems into effective detection and alert systems that extends the scope of video surveillance beyond security, allowing security to concentrate on their job, rather than stare at CCTV screens all day. Research suggests that after 10 minutes an operator misses 45% of action and after 22 minutes an operator misses 95% of action, and that is for a relatively empty scene.
2020 Vision uses smart video surveillance to detect, recognise, analyse and track people, vehicles, objects. Video analytics software monitors in real time, 24 hours a day, 365 days a year without distraction; adding significant benefits in live-monitored and incident review operations. Video analytics allows improved operational performance and increased monitoring without an increase in staff.
Below is just a selection of what 2020 Vision’s analytics can do for your organisation:
Congestion detection is used to detect a build-up of congestion in an area of interest – for example, railway station platforms, public spaces, motorway entry and exit roads, retail point-of-sale queues, etc. This helps to initiate timely actions and reactions, it can also be used to provide statistics for staff planning and marketing purposes. For example, it can detect when a shopping centre is at its busiest, or when supermarket checkout queues start to build up.
Video analytics motion detection can be used to detect unauthorised entry, for example, if a member of staff leaves by an unapproved exit. Specific areas of interest can be defined in a scene and searched automatically through a recording to identify and view any significant motion that occurred during the recording. This is useful when searching for motion in a quiet area throughout a long period of recorded video. It can be tuned using parameters such as object size and sensitivity. A “no-motion” option lets you monitor things that should be moving and alert when motion stops, e.g. escalators and conveyor belts.
Abandoned object detection
Video analytics abandoned object detection can be used for alarm generation if an object has been left in a busy scene (such as a suitcase in an airport or railway station), this feature is a key component in the timely management of dangerous situations. This functionality can also be used to detect illegal parking, or vehicles staying too long in certain zones, etc. It can also be used to search recordings for events such as parking violations and blocked freeways.
Intrusion – virtual tripwire
With a video analytics virtual tripwire can be set alongside a railway track, motorway hard shoulder, building perimeter or around a temporarily parked asset. An alert is generated when that tripwire is breached, the system “understands” direction, based on direction of approach. A virtual tripwire can also be placed on the entrance into a building or car-park to review how many people or vehicles enter. As an example two virtual tripwires can be placed within a monitored environment and combined with logic, alarm only if both tripwires are crossed.
There is an option to detect theft of static objects, in this mode the video analytics sensitivity is configurable, moving foreground objects are ignored. It can also be used when reviewing recorded footage, for example a warehouse, stockroom or retail environment. It can quickly identify when a targeted item was moved or removed from a static location.
Counter flow and movement
Video analytics counter flow is available to detect a person or vehicle moving in an unauthorised direction, for example a vehicle traveling in the wrong direction on a carriageway or a person moving the wrong way through airport security. Counter flow analysis can help optimise crowd control in public areas, such as the underground, train stations, airports and ferry terminals.
Video analytics hooded camera mode detects when a camera’s view has been obscured. Examples include the camera being covered by a bag and the lens being deliberately defocused or spray painted.
Biometric facial recognition systems compare images of individuals from incoming CCTV video against specific databases and send alerts when a positive match occurs.
The key steps in facial recognition are:
- Face detection
- Recording detected faces
- Match recorded faces with those stored in a database
- Automatic process to find the closest match
- VIP lists – make staff aware of important individuals (VIPs) and respond in an appropriate manner
- Black lists – identify known offenders or to register suspects to aid public safety
- Banking transactions – verification of the persons attempting a financial transaction
- Access Control verification – confirming identity visually, manually or automatically
Mustering – keep a tally of who is in and who is out
Please feel free to contact us if you have any questions or to discuss your requirements. We are happy to provide professional impartial advice. Call +44. 0191 296 2662 or email us at email@example.com