Project MagEye
Objectives
of the project:
- The main objective of the
project is to develop a person detector, which will be able to detect, at
a defined reliability rate, the presence of a person in the given scene
regardless of the fact, whether he moves or not and in which position he
is (standing, sitting, lying, ...)
- The secondary objective of the
project is such functionality of the presence detector which is able to
count the number of persons appearing in the given scene
Strengths
of presence detectors based on camera scanning:
- The detector eliminates
unpleasant feature of all commonly used presence sensors: for detection it
is necessary for the object to move, at least to the minimum extent; if he
is not moving, the sensor reports that there is no person in the observed
scene
- The detector reacts really only
to persons (or objects corresponding by their shape to the shape of head
and shoulders of a human); it doesn’t therefore raise alarm in cases when
animals or other moving or static objects appear in the scene that are of different
shape
- By modification of
identification programmes, it is possible to adjust the sensor for
specific tasks (e.g. scanning of long closed space – corridors, scanning
of entrance scenes, sensing with evaluation of the number of identified
persons etc.)
Application
field:
- Energy saving (switching of
lighting, heating and air-conditioning only in the presence of persons
etc.)
- Safety and supervision
applications (monitoring of rooms where constant presence of at least one
or more persons is required, or possibly where in a certain period of time
no person is allowed to be present, while other static or moving objects
may appear in the scene)
- Special customized applications
Brief
characterization:
- Detection is based on models,
not on detection of movement (the latter is used in auxiliary algorithms
only)
- Adaptive sensor: in the sensor’s
software there are “learning“ algorithms applied, which, upon installation
of such sensor in a new environment, at first „view the scene“ and
afterward they use such information in the proper detection of persons
- The sensor detects head and
shoulders as distinctive features of a person, while the remaining parts
of human body may be hidden and are not of substance for proper decision
making
- Recognition algorithm is not
based on recognition of person’s face
- The sensor doesn’t register in
any way persons entering the scene and leaving the scene; the detection algorithm
may start at any condition of the scene, however, it doesn’t register
hidden persons (not visible for camera)
Hardware
configuration:
- Miniature PC with operating
system on the basis of Linux
- Version for mounting on the
wall or under the ceiling according to the grade of coverage, for indoor
and outdoor spaces
- Taken scene is defined by the
camera optics used (focal length) and by its setting-up
- The sensor contains a relay
output which may be used for switching energy or lighting sources
(lighting, heating), various types of signalling
- For the purposes of setting-up
and for transfer of information on the number of identified persons, there
is a Wi-Fi output
- The sensor is equipped with IR
RED diodes for sensing of scenes in dark or under poor lighting