Abstract: Mobile device detecting and engaging are described. A server can determine that a mobile device has connected with a wireless network at a physical location. The server can provide a captive portal of the wireless network to the mobile device to receive contact information for the mobile device. The server can then provide a message including information related to the physical location to the mobile device using the contact information.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed herein is a technique to improve the processing of people counting systems. The technique involves ingesting raw people counting data into a time-series database sorted by point of origin and recorded by end visit time. That raw data is periodically summarized and then written to a relational database. Queries of the relational database for total visitor count over a period of time are modified by approximations of the raw data for particular classes of visitors. Examples of visitor classes include recurring visitors and pedestrians vs. people in cars.

Abstract: Disclosed herein is a technique to mask personally identifying information (PII) in a people counting system. A sensor that capable of identifying individual mobile devices, such as smart phones, counts people in a given area. Once identified, information that identifies given mobile devices is hashed. The hashed data is used with a filter to determine recurrence of individuals without actually storing any information specifically about those individuals. In order to determine the count of people externally from the sensor, the hashed data is analyzed for cardinality.

Abstract: Disclosed herein is a technique to improve the processing of people counting systems. The technique involves the use of a system that counts the local number of wireless/mobile devices via machine identifiers. When the counting device scrapes the machine identifier from a mobile device, the identifier is hashed using a one-way hash function. The hash code corresponds to a bit location on a bitmap. The location in the bitmap is checked. If the bit is already marked full, the mobile device has been previously detected, if the pixel location is empty, this is a new device. Thus, a single bit represents each machine identifier. The number of unique people in a monitored location is the number of full bits in the bitmap.

Abstract: Mobile device detecting and engaging are described. A server can determine that a mobile device has connected with a wireless network at a physical location. The server can provide a captive portal of the wireless network to the mobile device to receive contact information for the mobile device. The server can then provide a message including information related to the physical location to the mobile device using the contact information.

Abstract: Examples associated with projection device access are disclosed. One example includes receiving a reservation request of a meeting space for a specified time space. The meeting space has a projection device. A secret key is generated based on the reservation and the secret key is provided to the user. A screen sharing module is also provided to the user. The screen sharing module connects to the projection device using the key, and controls the projection device to project an image into the meeting space. The image is received from a device executing the screen sharing module.

Abstract: A system and method of procuring an advertising inventory over a communications network may include establishing a set of nodes defined by desired component attributes of inventory for an advertiser for an ad campaign. The established set of nodes may be stored. Valuation of nodes having unknown price and volume parameters may be estimated. The set of nodes may be explored to determine estimated price and volume parameters for the nodes. The set of nodes may be exploited for the ad campaign, where the exploitation may be inclusive of at least one extrapolated node having an estimated valuation. Results of the exploited set of nodes for the ad campaign may be generated.

Abstract: A respective submission is received from each of multiple recommending client network nodes (12, 14). Each of the submissions includes respective recommendation information in association with a respective online document identifier identifying a respective online document and a respective geographic location identifier identifying a respective geographic location. For each of multiple of the received submissions, the recommendation information and the online document identifier are indexed in association with the geographic location identifier. In response to receipt of location information from a searching client network node (12, 14), ones of the online document identifiers that are associated with respective ones of the geographic location identifiers that correspond to the received location information are ascertained. The ascertained ones of the online document identifiers are ranked based on the recommendation information respectively associated with the online document identifiers.