Abstract: One variation of a method includes: detecting a set of radio signals transmitted between a set of computing devices and a set of access points in the space; for each radio signal in the set of radio signals, extracting a pair of unique identifiers representing an initial computing device and an initial access point from the radio signal; storing the pair of unique identifiers in a set of containers; accessing a known position of the wireless sensor; accessing a signal transmission range of an access point based on the set of containers; deriving a signal strength of a radio signal based on the known position and the signal transmission range; in response to the signal strength exceeding a threshold signal strength, deriving a location unit occupied by the access point; and aggregating the location unit into a localization map representing locations of the set of access points in the space.

Abstract: One variation of a method for detecting and visualizing objects within a space includes: retrieving a map of the space annotated with known locations of target anchor objects and regions in the space; accessing a set of images annotated with object types and locations of objects captured by a set of sensor blocks; projecting the set of images onto the map to form a visualization representing objects in the space based on known locations of the set of sensor blocks; isolating a target anchor object at a known location in a region of the visualization; detecting a mutable object at a location in the region; calculating an offset distance between the location and the known location; and, in response to the offset distance exceeding an offset distance threshold, highlighting the mutable object in the visualization as a deviation; and generating a notification to investigate the mutable object in the region.

Abstract: A method for detecting conditions within a space includes: accessing a corpus of object lists generated based on objects detected in images captured by a population of sensor blocks; compiling locations of a set of objects represented in the corpus of object lists into a map of the space based on known locations of the population of sensor blocks; accessing a nominal condition of the space defining a set of inclusion objects and a set of exclusion objects within a threshold distance of an anchor object type; and detecting the anchor object type in the map according to the nominal condition. The method further includes, in response to detecting an object within the threshold distance of the anchor object type in the map and deviating from the nominal condition: identifying the object as anomalous in the map; and generating a notification to investigate the object.

Abstract: A method for mitigating disease transmission in a facility includes: accessing a set of extant disease metrics associated with a reporting period; accessing a set of images of the facility captured during the reporting period by a set of sensor blocks deployed in the facility; aggregating the set of images into a timeseries of facility maps depicting the facility during the reporting period; identifying a set of objects in the timeseries of facility maps, the set of objects comprising a set of humans; generating a transmission feature vector based on the set of objects in the timeseries of facility maps and the set of extant disease metrics associated with the reporting period; calculating a predicted timeseries of health metrics for the facility based on the transmission feature vector and a facility health model; and prompting a mitigation response at the facility based on the predicted timeseries of health metrics.