Abstract: While it is well known to power traffic control devices (for example, traffic lights) by an alternative energy source during power outages, some embodiments of the present invention additionally have: (i) a set of control computer(s), remote from the various traffic control devices, that is powered by an alternative energy source during a power outage; and/or (ii) a communication network, for communications between the set of control computer(s) and the various traffic control devices, that is powered by an alternative power source during a power outage. The use of alternative power to power the control computer(s) (for example, a hub) and/or the communication network allows the traffic control devices to continue to operate in a coordinated manner as instructed by the control computers, thereby avoiding a situation where the traffic lights begin operating independently of each other during a power outage.

Abstract: A method for training a central artificial intelligence module (“AI module”) for highly or fully automated operation of a vehicle, the central AI module to translate input signals into output signals, and the translation is carried out using a processing chain that is adaptable by modifying values of internal processing parameters, wherein the training of the central AI module takes place by modifying the internal processing parameters based on further internal processing parameters of further AI modules, the further AI modules being in a plurality of vehicles and translating input signals into output signals in each case, and the translations taking place using processing chains that are able to be adapted by modifying values of further internal processing parameters, the further AI modules having been trained using input signals that are based on environment data acquired with using environment sensor systems installed in the vehicles.

Abstract: A personal safety management system (100) comprising at least one portable communication device (200) communicatively connected to a wireless communication network (400); and a central computing device (500) communicatively connected to the wireless communication network (400). The at least one portable communication device (200) is configured to enable the activation of an alarm condition by a user (700) and transmitting data on the activation of the alarm condition to the central computing device (500). The central computing device (500) is configured to receive the data on the activation of the alarm condition from the at least one portable communication device (200). Furthermore, the central computing device (500) is configured to activate the alarm condition at the end of a predetermined time delay after the activation of a first operating element (210) on the communication device (200).

Abstract: A multizone equipment tracking solution includes radio frequency identification (RFID) tags affixed to items of inventoried equipment; a plurality of RFID readers deployed in a plurality of different zones, including a transit zone and a storage zone, wherein an RFID reader in a transit zone comprises a mobile reader and a wireless signal strength measurement component; and a monitoring node. The RFID readers read tag codes from items that are in the different zones, and report the information to the monitoring node, permitting a real-time, end-to-end view of inventoried equipment across different zones. The RFID reader in the transit zone also measures a wireless signal strength (e.g., cellular) along a transit route and reports the measurements, thereby reducing a need for dedicated monitoring efforts by the wireless network operator. Reported data, may be advantageously mined to provide value for inventory management, while also providing cost savings for wireless network management.

Abstract: A computer-implemented method for determining awareness data includes determining occlusion information related to a surrounding of a vehicle, determining a viewing direction of an occupant of the vehicle, and determining awareness data representing the occupant's awareness of the surrounding based on the occlusion information and the viewing direction.

Abstract: A container closure node system includes a closure chassis coupling device that couples to a container closure for a container aperture. The closure chassis coupling device includes a first plate member that includes a first securing element and a second securing element. The closure chassis coupling device also includes a second plate member that includes a third securing element that is configured to couple to the first securing element and a fourth securing element that is configured to couple to the second securing element. At least one of the first plate member and the second plate member includes a container closure engagement member that is configured to engage the container closure to prevent rotational movement of the closure chassis coupling device relative to the container closure when the third securing element is coupled with the first securing element and the fourth securing element is coupled with the second securing element.

Abstract: An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

Abstract: This disclosure describes devices, systems, and methods associated with pest (e.g., rodent) management. An example of a pest-management apparatus includes a detector device having a housing, a magnetic switch coupled to the housing, and circuitry disposed within a cavity of the housing. The detector device is configured to be coupled to a trap having a base and a capture element pivotally coupled to the base such a portion of the capture element is biased toward a capture portion of the base. The circuitry is configured to detect operation of the trap based on a change in state of the magnetic switch responsive to a magnet coupled to the trap. In a particular implementation, the detector device is coupled to the trap via a platform. In another particular implementation, the detector device includes multiple magnetic switches and is configured to concurrently be coupled to multiple traps.

Abstract: Methods, systems, and devices for data processing and artificial intelligence (AI) techniques are described. A system may support person detection using an optical camera and temperature detection using a thermal sensor. The thermal sensor may determine a temperature reading corresponding to a tracker for a specific detected person. A processing device may update a current temperature for the tracker based on the temperature reading and may add the updated current temperature to a baseline. For example, the processing device may use AI techniques to manage one or more baselines supporting handling of differences and changes in ambient temperatures. The processing device may determine that the current temperature for the tracker satisfies an alert threshold and may trigger an alert procedure. For example, the processing device may use an active baseline to correct the current temperature from a skin temperature to a body temperature for comparison to a fever detection threshold.

Abstract: A bus, notably an articulated low platform bus with an electric drive or a hybrid drive. The bus includes a vehicle detection module configured for detecting vehicle such as a car, a van or a motorbike, a height obtaining module adapted for obtaining the height of the detected vehicle, and a lighting system with a lighting surface adapted for displaying a luminous picture at least partially or totally above the height of the detected vehicle. The height of the luminous picture is adapted depending on the size of the vehicle for visibility purposes.

Abstract: An apparatus and a method for detecting an attention level of a driver are provided. The apparatus includes an electrocardiogram (ECG) sensor that measures ECG of a driver and a controller that calculates a standard deviation of NN interval (SDNN) quantifying an attention level of the driver using the ECG measured by the ECG sensor and detects the attention level of the driver based on the calculated SDNN.

Abstract: An automated driving vehicle (200) includes a communication device (220), a biometric information acquirer (240), and an automated driving controller (250). The communication device (220) is configured to transmit biometric information acquired by the biometric information acquirer (240) to an external device and receives a response signal including attribute information for the transmitted biometric information. The automated driving controller (250) is configured to execute automated driving according to route information formed on the basis of the attribute information included in the received response signal.

Abstract: A method comprising a data processing device predicting a time for a future state change of a first traffic light; a method comprising a data processing device generating a map of traffic lights, wherein the map of traffic lights comprises a location of at least one localization traffic light, and methods combining these methods, and to corresponding systems.

Abstract: Methods, devices, and systems for an unmanned system (US) for safety device testing are described herein. In some examples, one or more embodiments include a processor and a memory having instructions stored thereon which, when executed by the processor, cause the processor to capture, using an imaging device of the US, an image of a safety device, determine information corresponding to the safety device based on the image, communicate the determined information to a fire system network, receive, from the fire system network, a test procedure associated with the safety device, perform the test procedure on the safety device, and communicate a result of the test procedure to the fire system network.

Abstract: The systems and methods described herein can include a digital assistant application that receives sensor signals from sensors installed in a vehicle and determines an entry event into the vehicle. The digital assistant application can receive, responsive to the entry event into the vehicle, a plurality authentication input signals from a plurality of sensors associated with the vehicle. The digital assistant application can determine a plurality of authentication states based on the plurality of authentication input signals and a plurality of authentication credentials. The digital assistant application can identify an access permission level of a plurality of access permission levels based at least in part on the plurality of identifies authentication states. The digital assistant application can identify, responsive to the access permission level, a subset of a set of functionalities available via the vehicle, and provide vehicular access to the subset of functionalities.

Abstract: A security tag includes a tag body member, a connecting member releasably engageable with the tag body member, and a locking member having a locked position in a first thermal state configured to lock the connecting member to the tag body member, and having an unlocked position in a second thermal state configured to unlock the connecting member from the tag body member. The locking member includes a locking body comprising a shape memory alloy, and a clamping member connected to the shape memory alloy. A transition of the shape memory alloy element from the first thermal state to the second thermal state moves the clamping member from the locked position to the unlocked position, thereby enabling the connecting member to be detached from the tag body member.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records, each driving event record including phone usage by a user, wherein a driving event record is labeled as an actual distracted driving event or a passenger event, (ii) divide the driving event records into at least two clusters based at least in part upon common features and the labels of each driving event record by processing the plurality of driving event records with a semi-supervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the clusters using the trained model, and/or (vi) determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records including phone usage by a user that occurred within a time period of a driving event, (ii) divide the driving event records into at least two clusters based at least in part upon common features of one or more driving event records of the plurality of driving event records by processing the driving event records using an unsupervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters including cluster labels, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the at least two clusters using the trained model, and (vi) based at least in part upon the cluster labels for the assigned cluster, determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Abstract: A package design for a micromachined ultrasound transducer (MUT) utilizing curved geometry to control the presence and frequency of acoustic resonant modes is described. The approach consists of reducing in number and curving the reflecting surfaces present in the package cavity to adjust the acoustic resonant frequencies to locations outside the band of interest. The design includes a cavity characterized by a curved geometry and a MUT mounted to a side of a substrate facing the cavity with a sound emitting portion of the MUT facing an opening in the substrate. The substrate is disposed over an opening of the cavity with the substrate oriented such that the MUT located within the cavity.