Memsic Transducer Systems Co., Ltd.

Crossbow Technology, Inc.

Memsic, Inc.

Alan Broad

Ning Xu

Michael A Horton

Martin Albert Turon

Rahul Kapur

Jaidev Prabhu

Matt Miller

Xin Yang

Matthew Miller

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of the proximity of objects. A central computer accumulates the data produced or received and relayed by each module. One of the modules is operable as a leaf node having a sleep mode to conserve energy and an interactive mode. The central computer can send a message to the leaf node commanding it to stay awake in order to receive subsequent communications.

Adaptive network and method

An interface is provided that configures itself dynamically based on sensor information received from a sensor assembly or actuator information received from an actuator assembly. The interface may be configured to interoperate with sensor assemblies including analog transducers, smart transducers providing digital outputs and various actuators. The sensor information or the actuator information may include information for managing power consumption associated with the operation of the sensor or the actuator. Using the sensor information or the actuator information, a power management scheme may be implemented to reduce power consumption and extend the operational time of a module. The sensor information also includes information about the sensor signal generated by the sensor. The information about the sensor signal allows the module to interoperate with more diverse types of sensors.

Reconfigurable interface operable with multiple types of sensors and actuators

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyses of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object.

Adaptive surveillance network and method

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyses of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object. Multiple operational frequencies in adaptive networks permit expansions by additional networks that each operate at separate radio frequencies to avoid overlapping interaction. Additional modules may be introduced into operating networks without knowing the operating frequency at the time of introduction. Remote modules operating as leaf nodes of the adaptive network actively adapt to changed network conditions upon awaking from power-conserving sleep mode. New programs are distributed to all or selected modules under control of the base station.

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of physical properties sensed at the modules. A new module is joined in the adaptive network in an expedient manner. The new module transmits a burst of beacon messages after the interactive module is activated to discover neighboring interactive modules deployed and operating in the adaptive network. The neighboring interactive module stays in a sleep-mode of low-power expenditure. The beacon messages persist for a first interval longer than a second interval during which the neighboring interactive modules remain in the sleep mode. After receiving the beacon messages, one or more neighboring interactive modules transmit response messages to the new interactive module. The new interactive module receives the response messages and selects a neighboring interactive module for communication based on the received response messages. The new module can also include an indicator for indicating discovery of a neighboring interactive module with which a reliable wireless link can be established.

Fast deployment of modules in adaptive network

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyses of the data accumulated from modules forming the adaptive network.

Surveillance system and method

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyzes of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object. Multiple operational frequencies in adaptive networks permit expansions by additional networks that each operate at separate radio frequencies to avoid overlapping interaction. Additional modules may be introduced into operating networks without knowing the operating frequency at the time of introduction. New programs are distributed to all or selected modules under control of the base station.

Interactive surveillance network and method

A battery-monitoring circuit detects rapid changes in current drawn from a battery by a device powered thereby. The circuit includes calibrating operating modes that determine voltage-to-frequency conversion parameters, and amplifier errors at various levels of battery voltage.

Battery monitoring circuit and method

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of radio-frequency identification signals, and indicative of proximity sensing at the module. A central computer accumulates the data produced or received and relayed by each module for analyzing inventory, pricing and customer responses to transmit through the adaptive network signals representative of information to be displayed at selectively-addresses modules in response to computer analyses of the data accumulated from modules forming an adaptive network.

Adaptive sensing network

A method and system updates a network of sensors remotely through the use of a communication link. The sensors to be updated as well as data files to perform the updating are selected at a base station. The selected sensors are notified of the upcoming update by the base station and may accept or reject the update. The sensors that approve the update then receive data files through the communication link. The sensors notify the base station of any missing data files, which are then retransmitted to all sensors that may be missing data files from the first transmission. After the sensors receive all data files, the update is initiated.

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Palo Alto, CA, United States of America

Alan Broad