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Enhanced Video Analytics (EVA)
Building upon 3 decades of biometric leadership, Enhanced Video Analytics (EVA) takes real-time biometrics capture to a new level. NEC’s NeoFace watch system leverages NEC’s acknowledged and tested leadership in real time Facial Recognition for “as it happens” video feeds and post-event video analysis.
From the plethora of video cameras used for public safety to specialised video monitoring systems for highly secure areas, the ability to identify moving individuals is becoming increasingly critical.
At NEC, we’re constantly developing new ways to apply this technology and we collaborate with our customers to generate innovative ideas. Our R&D team fine-tune the technology to help customers achieve their business objectives in the most efficient and cost-effective way.
NEC EVA at a glance:
Our Enhanced Video Analytics solutions are used by various private and public sector organisations in order to quickly and accurately identify individuals for a variety of reasons including:
- Video analytics to identify people, objects and events
- NeoFace® Facial Recognition
- Behaviour recognition
- Demographics and people counting
- Object detection
- Supplemental data analytics
- Internet of Things (IoT) integration with options for private, public or hybrid cloud deployment
- True time security awareness and watchlist monitoring
- People counting and crowd estimation
- Access control and identity management
Who we work with
For real-time or post-event video analysis using video capture devices from many manufacturers, NEC’s EVA systems are trusted by corporations, the aviation industry, public safety, hospitality, law enforcement and government agencies for identification and authorisation of individuals, using the same National Institute of Standard and Technology (NIST) validated facial recognition algorithms, even if the source video is low resolution, poor image quality or captured in challenging light or circumstances such as low angle capture.
Public Safety and Law Enforcement
Using building or pole mounted cameras, EVA is used to identify watchlist individuals. Use cases are many and varied: from controlling who can sit in courtroom public galleries (avoiding the presence of individuals who may desire to intimidate witnesses with their presence) to identifying known troublemakers at public events such as concerts and public gatherings. Post event video analysis is also used to identify individuals should issues occur that require investigation.
Many examples including identifying problem gamblers entering casinos, or watchlist individuals entering hotels. EVA is also used to identify high value individuals, repeat customers or VIP’s in the retail and hospitality environments to enable the delivery of enhanced or elevated service levels. EVA can also be used to understand customer movements and likely purchasing patterns in malls or retail environments for targeted service or advertising or identify shoplifting repeat offenders before offending can take place.
Key features and benefits of
NEC’s Enhanced Video Analytics
NEC has deployed its video recognition and identification systems to customers worldwide. Part of our biometrics solutions offering at NEC, Enhanced Video Analytics has many practical applications across a wide range of sectors and we have solutions that can be tailored to your business. Our EVA technology is widely regarded as the fastest and most accurate on the global market. Some of the features and benefits include:
- Unsurpassed identification accuracy
The National institute of Standards and Technology (NIST) matching algorithm recognition benchmarks have proven several times that NEC’s biometric technologies are the fastest and most accurate under all conditions.*- *The evaluation results do not represent recommendations by the US government for specific.
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- High speed
Capture and process thousands of faces per hour. Identify individuals in real time.
- Real time or post capture analysis
Identify people as they pass or in a crowd in real time. Or analyse previously-captured footage for individual identification.
- Analysis of less than perfect video footage
Analyse low resolution, poor image quality or video captured at challenging angles.
- Easily integrated, unobtrusive with zero operator interaction
No attendant necessary, easy to deploy with web-based thin-client and easily integrated with existing business processes.
- Integration with 3rd party peripherals
The NEC EVA and NeoFace products and matching algorithm will work with cameras and peripherals from multiple suppliers.
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Who should use NeoFace Enhanced Video Analysis
There are many reasons why our customers turn to Enhanced Video Analytics and Video Facial Recognition as a public safety and security solution. Here are some of the main reasons to talk to us about EVA today.
If you:- Have camera image and video capture environment and you want a simple, biometric way to identify individuals on the move or in a live environment
- Wish to identify or enable access for individuals on the go without interrupting their passage or workflow
- Wish to identify unknown or unrecognised individuals within your facilities
- Have a need to count people or monitor queue lengths
- Need a fast and accurate way to grant or deny access to sensitive systems or facilities
- Want to accurately ensure you are delivering services or treatment to the correct individuals was they move around your environment
- Have thousands of individuals passing per minute and you wish to monitor movements and access
- Need to match many people quickly
- Have video footage that need to be analysed in real time or post event
As the world’s population increases with increased public participation at events and venues such as airports, retail and hospitality venues, ensuring the right access by the right individuals to the correct facilities or the identification of those who should now enjoy such access or who represent some form of threat becomes increasingly important.
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