Video Analytics – CCTV facial recognition and video analytics software. Recognise, analyse and track people, vehicles and objects.
2020 Vision can design, install and maintain adaptive facial recognition CCTV systems around your property, which stand out for their market-leading accuracy.
Our smart video surveillance systems are able to detect, recognise, analyse and track people, vehicles and objects alike. The video analytics software built into our CCTV face recognition technology also monitors in real time, 24 hours a day, 365 days a year without distraction and adds significant benefits in live-monitored and incident review operations. Video analytics allows improved operational performance and increased monitoring without an increase in staff.
2020 Vision appear in ITV documentary to demonstrate the benefits of intelligent video surveillance — Cashing in on Cameras
2020 Vision Directors Peter Houlis and Peter Jones are recognised as the UK’s leading experts for the design of intelligent CCTV systems. They demonstrate the benefits of smart video surveillance for an ITV documentary entitled Cashing in on Cameras, reporting on CCTV and video surveillance in the UK.
There are many advantages to installing CCTV facial recognition systems from 2020 Vision around your premises, including the following:
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 instance, 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 also lets you monitor things that should be moving and alert you when motion stops, such as 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 highways.
Intrusion – Virtual Tripwire
A video analytics virtual tripwire can be set alongside a railway track, motorway hard shoulder, building perimeter or around a temporarily parked asset. Generating an alert when that tripwire is breached, with the system “understanding” 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. Another example is that two virtual tripwires can be placed within a monitored environment and combined so that an alarm is only triggered if both tripwires are crossed.
There is an option on our face recognition CCTV systems to detect theft of static objects. In this mode, the video analytics sensitivity is configurable, whereby 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 obscured; covered by a bag, spray-painted or the lens being deliberately defocused.
As well as the above, our biometric facial recognition systems compare images of individuals from incoming video feeds 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.
Applications of when our facial recognition CCTV systems can be useful include:
- VIP lists – make staff aware of very important individuals (VIPs) and respond in an appropriate manner.
- Black lists – identify known offenders or 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 in regards to our CCTV face recognition systems or to discuss the technology required for your business. We are happy to provide professional impartial advice. Call +44. 0191 296 2662 or email us using the simple contact form below.
We also recommend that you download our security solutions brochure for more information about how we design our technology:
2020 Vision – Security Solutions
PDF, 2.4MB, 24 pages