Abstract: A wireless proximity detection system employs short-range wireless communication to detect the proximity of a user device within a strictly defined wireless zone and as a result trigger a desired action. The proximity detection system may utilize one or more leaky feeders to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device. Alternatively, a compact planar antenna structure coupled with a highly shielded radio transceiver is used to allow a similar precise low-power radio beam to be emitted defining a small location to enable identification of a wireless device such as a smartphone in a given area in front of the device. The planar antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: A wireless proximity detection system employs short-range wireless communication implementing circular polarization to detect the proximity of a user device within a strictly defined wireless zone, regardless of its orientation and location on the user, and as a result trigger a desired action. The proximity detection system may utilize one or more patch antennas to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device, as well as a distance-measuring device. A beacon may be utilized to prepare the user's mobile phone for detection as well as other antennas for coordination with the primary short-range antenna. The novel antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: Sensor and method for performing industrial machinery monitoring based on sensor data processing by a machine learning algorithm. The sensor stores a predictive model of the machine learning algorithm and receives measurements generated by at least one sensing component of the sensor. For example, the measurements comprise one or more of the following: a temperature of an industrial machine, a measurement of a vibration of the industrial machine, and a sound intensity of the industrial machine. The sensor executes the machine learning algorithm, which uses the predictive model for inferring output(s) based on inputs. The output(s) comprise at least one predicted operating condition of the industrial machine (e.g. a predicted failure). The inputs comprise at least some of the measurements. The machine learning algorithm may implement a neural network. The predictive model may be updated based on feedback generated by the sensor or received from another device.

Abstract: A wireless proximity detection system employs short-range wireless communication to detect the proximity of a user device within a strictly defined wireless zone and as a result trigger a desired action. The proximity detection system may utilize one or more leaky feeders to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device. Alternatively, a compact planar antenna structure coupled with a highly shielded radio transceiver is used to allow a similar precise low-power radio beam to be emitted defining a small location to enable identification of a wireless device such as a smartphone in a given area in front of the device. The planar antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: The system classifies aspects of beehive phenomenon by fusing sensor data from inside a beehive and human collected data from the same beehive using machine learning algorithms. The human collected data labels the sensor data indicating various aspects of beehive states. By collecting observation data from people looking into the beehives equipped with sensors, the sensor data is augmented with information. The resulting sensor and labelled dataset are used to train machine learning algorithms to classify beehive health states using sensor data alone. This system is used for remote monitoring of honeybee hives using in-hive sensors.

Abstract: A wireless proximity detection system employs short-range wireless communication to detect the proximity of a user device within a strictly defined wireless zone and as a result trigger a desired action. The proximity detection system may utilize one or more leaky feeders to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device. Alternatively, a compact planar antenna structure coupled with a highly shielded radio transceiver is used to allow a similar precise low-power radio beam to be emitted defining a small location to enable identification of a wireless device such as a smartphone in a given area in front of the device. The planar antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: A wireless proximity detection system employs short-range wireless communication implementing circular polarization to detect the proximity of a user device within a strictly defined wireless zone, regardless of its orientation and location on the user, and as a result trigger a desired action. The proximity detection system may utilize one or more patch antennas to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device, as well as a distance-measuring device. A beacon may be utilized to prepare the user's mobile phone for detection as well as other antennas for coordination with the primary short-range antenna. The novel antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: A wireless proximity detection system employs short-range wireless communication to detect the proximity of a user device within a strictly defined wireless zone and as a result trigger a desired action. The proximity detection system may utilize one or more leaky feeders to define the wireless zone and the associated received signal strength(s) detected by the user's wireless device. Alternatively, a compact planar antenna structure coupled with a highly shielded radio transceiver is used to allow a similar precise low-power radio beam to be emitted defining a small location to enable identification of a wireless device such as a smartphone in a given area in front of the device. The planar antenna structure allows a compact and low-cost fabrication method and the use of common printed circuit fabrication methods provide an integrated solution.

Abstract: Various systems, methods and computer program products are disclosed which provide fingertip tactile feedback from virtual objects. In various embodiments, a wearable haptic thimble is disclosed. The wearable haptic thimble is configured for use with a virtual reality (or augmented reality) system, and may include: an attachment mechanism for engaging a finger of a user; and at least one contact pad coupled with the attachment mechanism, the at least one contact pad configured to deliver tactile sensations to the finger of the user to provide a tactile representation of virtual reality (or augmented reality) in the virtual reality (or augmented reality) system.

Abstract: Various systems, methods and computer program products are disclosed which provide fingertip tactile feedback from virtual objects. In various embodiments, a wearable haptic thimble is disclosed. The wearable haptic thimble is configured for use with a virtual reality (or augmented reality) system, and may include: an attachment mechanism for engaging a finger of a user; and at least one contact pad coupled with the attachment mechanism, the at least one contact pad configured to deliver tactile sensations to the finger of the user to provide a tactile representation of virtual reality (or augmented reality) in the virtual reality (or augmented reality) system.