True Detection Security
Face recognition system
Faces
Silhouettes
Objects
Vehicles
License plates
About the System
Based on artificial intelligence (AI) and biometric identification our system provides recognition of:
Challenges
Unfortunately, nowadays, security threats are still exist all over the world. Namely, such incidents as:
Street theft and robbery;
Car theft;
Vandalism and criminal behavior;
Minor and domestic crimes;
Stay of illegal and undesirable persons in the country.
Also, a serious risk factor is the lack of timely and sometimes immediate response to a possible security threat.
Proposed Solution
Create end-to-end identification of citizens and transport using a recognition system.
Create a risk model to assess the potential security threat.
Set up an automatic system for alerting security personnel about the presence of a threat.
System Features
Human faces and silhouettes recognition
Creation of watch lists (face image + any metadata) for further monitoring and recognition of these faces.
Real-time face recognition based on watch lists using any surveillance cameras and video streams (video from YouTube, Shorts, Tik-Tok, etc.).
Analytics of objects of observation
Displaying places, meetings, names of events attended by the surveillance object*
Displaying the watch lists where the surveillance object* was recognized.
Displaying the total number of surveillance objects* (recognized and unrecognized people, with the possibility of sorting) after each event in a report.
Construction of social graphs.
Additionally
Recognition of any symbols on the video (chevrons, swastika, flags, etc.).
Searching for people by photo or video (if this person was previously caught by any camera or was in the database).
Customizing notifications (for example, if the system recognizes the person, it can send a personal notification about it).
Ability to create users in the system with different access rights.
Searching for fake news.
Searching for people on the map:
- at what address the person was seen in a given period of time;
- the number of visits to a particular address.
Revealing Additional features
Gender, age, emotion, spectacles, beard, mask etc
Gender, age, emotion, spectacles, beard, mask etc
Identification and verification
- Searching people in tourists' data base
- Searching in security data base;
- Searching in criminal data base
Individual detection from any camera or video
Detecting people from thousands of cameras in real time
Detecting people from thousands of cameras in real time
Face Recognition
Identification of individuals (groups of individuals) associated with extremism, drug trafficking. In a real-time mode, the system recognizes faces on video, compares them with «web users» or «watch lists» pre-loaded into the system.
Vehicle Recognition
- Recognition of cars and extraction of attributes (body type, brand, model, color, license plate).
- Scanning license plates.
- Tracking the movement of vehicles
The system capacity can simultaneously analyze a large number of video streams.
It takes less than 1 second to verify a human face with the criminal database*.
99.9% — a real-time face recognition accuracy.
Each camera can be set individually.
System Highlights
How It Works
01
Several video stream processing modes:
- real-time,
- in the background,
- offline.
02
The system instantly alerts the security service if the camera is intentionally closed by intruders.
03
Identification of intruders in real time with high accuracy.
04
The system remembers everyone who has ever been in the camera view. Thereby, it can be determined how many times and at what time the same person was in the video camera view.
By means of individual setting of access rights to the system, each user can set up personalized alarm notifications (for example, if one of the law violators got into the camera view).
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