ZONE POSITIONING WITH THE FACE ID SYSTEM

Most offices, business centers, and enterprises are equipped with cameras. The video stream from the cameras can be processed in the Face ID systems (face-recognition systems). After the identifying of a person, his location is displayed on the floor-plan map.
Indoor positioning with face recognition system
ZONE POSITIONING WITH THE FACE ID SYSTEM
Most offices, business centers, and enterprises are equipped with cameras. The video stream from the cameras can be processed in the Face ID systems (face-recognition systems). After the identifying of a person, his location is displayed on the floor-plan map.

The principle of people positioning in any premise based on video cameras is simple by its structure. The cameras should be installed in such a way that the faces of the passing stream of people outline at a distance of up to 8 meters. The best place to install the camera is the aisles. This way the number of cameras will be minimized. People will be well-localized in the camera’s coverage area. First we need to understand what the Face ID system is. Primarily, this is a trained neural network that is created specially for such a task. Secondly, it is a face-recognition server that processes video streams from cameras.

The server can be integrated into the camera but such equipment is rather expensive because image handling requires a powerful processor. A neural network distributes feature vectors and finds geometric patterns of the face. This process is called neural network training. A trained network hereinafter can determine a person with a probability of up to 98%.

How Does a Neural Network Identify a Face?

  1. The recognition system chooses a separate frame and analyzes whether there is a person’s face on it.
  2. The neural network selects from 5 to 1000 control points on the frame with the image of the face. These points determine how the face is located in the space. The Merusoft Face ID engine uses 82 points.
  3. Then, the Face ID engine converts the image into a cipher, describing a large number of parameters specified in the neural network. These parameters are formed by the neural network right after training. Because during training, two images were loaded at the input of the neural network and then only the correct one was indicated.
  4. The server compares the cipher received in the image processing with the reference version (specified patterns). If a match is found, the system gives the result of the identified person.

The use of cameras has gained mass adoption. The cost of the Face ID software is reduced every year due to high competition in this segment.

hwo face ID works?

How Face ID works?

Features of RTLS Solutions with Face ID Technology:

Модуль бронирования переговорных комнат
Using installed cameras including analog ones.
Модуль бронирования переговорных комнат
Monitoring the movement of people in camera coverage areas.
Модуль бронирования переговорных комнат
Ability to track people's behavior. For offices with a busy workplace.
Модуль бронирования переговорных комнат
Reasonable cost of positioning system using current infrastructure.
WE DEVELOP THE POSITIONING SYSTEMS USING CCTV CAMERAS
Indoor positioning with face recognition system

We are developing RTLS applications using Face ID technology on the Merusoft Tracking platform. To develop IPS (Indoor Positioning System), we use any installed cameras, as well as Face ID engines. The software can be installed on the client’s infrastructure without connecting to the Internet that is important for industrial enterprises. Each user receives a unique identifier in the Merusoft Tracking system. It is used for integration with the Face ID system. Cameras are attached to the coordinates of the floor plan or map. Thus, the location of people on the map is foregrounded according to the data obtained from video surveillance cameras.

Areas of the positioning system using CCTV cameras:

  • Chemical industry
  • Food industry
  • Exhibitions
  • Robotic production with conveyor lines
  • Warehouse complexes
  • Mobile systems for monitoring the movement of fire brigades
  • Offices and business centers

Using cameras, you can quickly deploy a positioning system to conduct research and analyze the movement of streams of people.

THE MERUSOFT TRACKING FUNCTIONAL SET WITH THE POSITIONING SYSTEM BASED ON FACE ID
Indoor positioning with face recognition system
Safety. Control the movement of staff and guests
Communication of surveillance cameras and positioning systems on the Merusoft Tracking platform. Tracing the paths of movement of the guests and staff between zones.
Indoor positioning with face recognition system
Workplace Control
Analysis of the behavior, actions of the employee in the office and in the workplace. Definition of the employee in fixed workplaces.
RTLS INFRASTRUCTURE WITH THE FACE ID TECHNOLOGY

The presence of cameras and the Face ID engine is necessary for the positioning system to work on the Meruosft Tracking platform.

Indoor positioning with face recognition system
Digital Video Camera
The cameras are selected according to a number of parameters: for indoors or outdoors use, with options of IR illumination, POE power, and matrix quality.
Digital Video Camera
Indoor positioning with face recognition system
Indoor positioning with face recognition system
Face Recognition System Merusoft 3D Face
A quickly-deployable Face ID system. Recognition accuracy up to 99%.
Face Recognition System Merusoft 3D Face
Indoor positioning with face recognition system
Indoor positioning with face recognition system
Digital Video Camera
The cameras are selected according to a number of parameters: for indoors or outdoors use, with options of IR illumination, POE power, and matrix quality.
Digital Video Camera
Indoor positioning with face recognition system
Indoor positioning with face recognition system
Face Recognition System Merusoft 3D Face
A quickly-deployable Face ID system. Recognition accuracy up to 99%.
Face Recognition System Merusoft 3D Face
Indoor positioning with face recognition system

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