Infrared Integrated Systems Limited

Fluke Corporation

Neil Johnson

Stuart Andrew Holliday

Timothy J Wheatley

Christopher A Evans

Glyn Cowe

A tracking system includes one or more wireless tags, a sensing device, and a processor. The sensing device is configured to generate sensing data representative of one or more people or objects in a scene. The processor is configured to detect the presence of the wireless tags within the scene. The processor is further configured to receive sensing data representative of objects in the scene and to identify tracks corresponding to the objects. The processor is further configured to process the received sensing data to generate a track descriptor associated with each of the identified objects, each track descriptor being representative of attributes of the corresponding object. The processor is also configured to analyze track descriptors associated with tracks when a wireless tag is present in the target scene. The processor is further configured to determine tracks associated the wireless tags based on the track descriptors present in the scene.

Detection and identification systems for humans or objects

Some systems include an illuminator configured to illuminate a scene, a detector configured to receive electromagnetic radiation from the scene, one or more retroreflective tags, and an image processor. Each of the one or more retroreflective tags is attached to or positioned near a corresponding target and is configured to reflect electromagnetic radiation from the illuminator toward the detector. The image processor can identify electromagnetic radiation reflected by one or more retroreflective tags to determine the presence of one or more retroreflective tags and corresponding targets in the scene. Retroreflective tags can include retroreflective portions and non-retroreflective portions such that, when electromagnetic radiation is incident upon the retroreflective tag, the retroreflective tag reflects the electromagnetic radiation in a pattern that corresponds to a code uniquely corresponding to the target. An image processor can determine the presence of a target based on identifying the unique code of the retroreflective tag.

Systems for detecting occupancy of an area comprising one or more zones can include one or more sensors and one or more processors configured to receive sensor data from the one or more sensors over time. The one or more processors can be further configured to receive or store data about an arrangement of the zones in the area. The one or more processors can apply a probabilistic model considering the sensor data received over time to determine the number of subjects in each zone by determining a most likely current state of occupancy of the area among a plurality of possible scenarios.

Apparatus and method for occupancy detection

Systems and methods are directed toward occupancy detection in a predefined space including one or more sub-zones. Occupancy of the predefined space can be determined by determining the occupancy of an outer zone comprising the predefined space, and determining the occupancy of individual sub-zones to the outer zone. Occupancy values of the individual sub-zones can be rescaled such that the sum of the individual sub-zones occupancies sum to the already determined outer zone occupancy. The occupancy of the predefined space then may be determined using the rescaled occupancies of the various sub-zones included in the predefined space. Such processes can be repeated for individual sub-zones, which may be treated as a separate outer zone including one or more sub-zones.

System, method and apparatus for occupancy detection

A system for monitoring the motion of objects is configured to identify objects meeting predetermined criteria appearing in a scene and to track the motion of identified objects across the scene. In a particular embodiment the system is configured to compile statistical data for multiple points or regions to indicate one or both of: the frequency with which objects are initialised at that region or point; and the frequency with which initialised objects cross the region or point. The initialisation data will indicate the areas in the scene where objects are most frequently initialised. If the statistical data shows an area of the scene in which objects are never initialised this might indicate that there is an obstruction between objects that need to be tracked and the detector. The path data will indicate the paths most frequently followed by objects. If there is a particularly well trodden path to and fro in a particular part of the scene this might distort the result of a count of people entering and leaving a region in the scene.

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Devon, United Kingdom

Neil Johnson