Integration: RecFaces
Integration Capabilities
Id-Me Face Recognition Module
MULTIMODAL BIOMETRIC by
Enterprise Video Management System
Open platform flexibility
Ultimate Reliability
Software & Hardware installations
+
Safe and Secure
Convenient and Reliable
Features
Human face detection in video streams. Creation and maintenance of a visitor database.
Notification of visitor presence from a pre-defined visitor list.
Notification of unauthorized visitor presence in a high security area.
Fast database search (“smart search”) of a suspect by their face image, with an option to
extract the following attributes: video camera id, location id, time and date.
Visitor identification via the mobile app.
The possibility to create smart business solutions through integration into ERP/CRM
systems via the use of open-source API.
The Id-Me Face Recognition Module is a software-hardware solution capable of face
detection via video stream processing. Subsequently, it is also capable of face search
through matching to a pre-defined database or a list. From the moment of detecting a face
image of sufficient quality, the matching to a database is completed in under 1 second. The
system supports visitor categorization into groups, such as “staff”, “contractor”, “wanted” etc.,
which allows the structuring of notifications. Each time a person is captured by the system,
the following data record is stored in the system database: the captured person’s face crop,
the respective video frame this image has been cropped from, the person’s biometric
template, as well as the date, the time, and the camera id, along with some other attributes
necessary to make database search and the search result filtering faster and more
convenient. Hence, the system only needs a few seconds for accomplishing tasks a human
operator would otherwise need minutes or even hours for. The face recognition system also
has an open-source API, which simplifies the integration with external IT systems, the usage
of recognition results for business intelligence purposes, and the creation of an integrated
infrastructure aimed at improving business safety and efficiency.
Improved Data Storage Efficiency
For continuous 1080p H.264 video recording at 25 frames per second, 16 GB of storage
space per each video surveillance channel per day would normally be required.
Each database record of the Id-Me Face Recognition System, containing the captured
person’s cropped face image, the respective full video frame, and the biometric template,
requires only c. 120-150 kB. Hence, when using the Id-Me Face Recognition System, the
same 16 GB of HDD space would suffice for recording data on c. 140,000 captured visitors,
which equals 280 days of system operation at 500 visitors per day.
In a typical video surveillance system, the video archive would normally be overwritten with
new footage every month. In contrast, the Id-Me Face Recognition System data is stored in
an indexed database, which may be available after as long as a year or more.
Multimodal Biometrical Platform
Efficient face detection and identification
Long-term information storage
Convenient Smart Face Search
Tags:
Analytics
Smart search
Improved data storage
Fast Search of Wanted Persons
Manual search of a person in footage generated by 10 video cameras during just one day
could take several man-hours. This task is especially difficult when a person is unfamiliar to the
security officer.
The smart biometry-based search function provided by the Id-Me Face Recognition System
requires just an image of the person to succeed. In only a few seconds, the system will
perform a database search and identify all locations where the person was captured by the
system within a specified time frame. Modern biometric systems detect persons with a much
higher efficiency than human operators, especially when a person is unfamiliar to the operator.
The security surveillance data processing speed may be a matter of life or death. Improved
search efficiency of wanted persons greatly increases the overall efficiency of a security
system.
Immediate Notification of Operators
Security operator’s level of concentration may decline through the work shift, which may
become the critical point of failure in safety, security or incident prevention.
The Face Recognition System generates automatic notifications (alarms) as soon as either an
unauthorized / unknown person (i.e. not in white list), or a person present in a black list, is
detected. Notifications can be displayed at the security operator’s desk, on remote mobile
devices, or both.
This ensures the security operator is fully aware of the presence of an unauthorized person in
a security area in a swift and timely manner.
Business Analytics
In addition to increasing security systems performance, biometric identification systems can
be effective for solving business-related problems, while the open-source API available for the
Id-Me Face Recognition System also makes it easy to integrate with external IT systems (e.g.
ERP and CRM).
- Big Data: one step ahead of the competition. Collecting and structuring customer data in
retail and banking in order to improve communications and the quality of service.
- Upsale and effective communication. Improved interaction between the staff and the
customers through notifying the staff about the customers shopping preferences (available
from the CRM).
- Business process automation. Customers can be identified at the point of entering an
electronic queue, at which point their information can be sent to and processed in CRM with
the possibility of notifying a senior member of staff about the arrival of a VIP-customer.
- Simplified attendance recording. Staff arrival and departure times can be automatically
recorded through integration of the Id-Me Face Recognition System with external IT systems.
Staff will be able to interact with customers in a targeted manner, enhanced by the information
about the frequency of visits, purchase history, and the results of prior communications and
interactions, which are recorded in the CRM system.
Integration: RecFaces
The system fully supports Id-Me Light Bio Core & Video
Small systems in which identification of the face image on one
with the reference photo database.
The Enterprise Id-Me for VX class equipment is based on
System architecture of solution
Architecture of the biometric Id-Me module within the Pelco VX.
Types of Id-Me solutions for Pelco VX
Type Description Typical use
Light
Id-Me for VX
Professional
Id-Me for VX
Enterprise
Id-Me for VX
Stream Processing Server on one server, processing the
single FULL HD video stream of up to 25 fps.
The limitation on the reference photo database for this solution is
-
Central server used for identification, data and configuration
storage - Id-Me Professional Bio Core Server.
- Backup server (optional) Professional Bio Core Redundancy
Server.
- Servers processing up to 2 video streams in FULL HD, up to
25 fps - Professional Video Stream Processing Server.
The limitation on the reference image database for this solution
is 100,000 photos per Professional Bio
Limit on the number of Professional Video Stream Processing
Servers that can be connected to one Professional Bio Core
specialized high-performance DELL servers. This ensures
cost-optimization of server hardware in large installations.
Calculation of cost for the server hardware and licensing in
Enterprise Id-Me for VX systems is available on request
from Pelco by Schneider Electric.
Reference photo database limit for this solution is customized
on request.
The number of simultaneously connected video cameras i
Core Server.
camera is required.
If necessary, several territory distributed Id-Me Light Bio Core
& Video Stream Processing Servers can be installed in sync
Territorially-distributed mid-level systems, in which
simultaneous identification is required from a large number of
video cameras with a limited reference photo database.
If necessary, several Professional Bio Core Servers can be
installed in sync with the reference image database and the
required number of Professional Video Stream Processing
Servers to process the required number of video stre
Corporate-class territorially-distributed systems where
simultaneous identification is required on a large number of
video cameras, without restrictions on the size of the
reference image database.
s
ams.