Abstract: An air filter includes filter media, a sensor, and circuitry coupled to the sensor, the circuitry configured to receive data from the sensor representative of the condition of the filter media and wirelessly transmit such data. The data may be received by a device with a display to use the information to present an indication of the filter media condition to a user.

Abstract: A healthcare device and a vehicle system are capable of charging a sensor device that measures a biosignal. The healthcare device includes the sensor device that includes a biosignal measuring sensor that measures the biosignal and uses the biosignal measuring sensor as a charging electrode during charging, a healthcare controller that collects and calculates the biosignal measured through the biosignal measuring sensor, a sensor device battery that receives power from an external pogo pin through an electrode of the biosignal measuring sensor during charging by the charging electrode to charge a power supply of the sensor device battery, and a selecting device that connects the biosignal measuring sensor to any one of the healthcare controller and the sensor device battery.

Abstract: A vehicle includes: a capturer configured to detect at least one stopped vehicle stopped in a first lane crossing at a right side of a second lane in which the vehicle is located; a detection sensor configured to detect the target vehicle located in a third lane next to the at least one stopped vehicle to obtain position information and speed information of the target vehicle; and a controller configured to determine a first position of the vehicle for sensing the target vehicle between stopped vehicles, determine an expected position to move the target vehicle for a time it takes for the vehicle to move from the first position to a second position, determine a reliability of a possibility of collision between the vehicle and the target vehicle by comparing an actual position and the expected position of the target vehicle.

Abstract: A drowsiness level of a driver in a vehicle is determined. A preliminary alert is performed in response to that the drowsiness level is higher than an alert threshold value. A main alert is performed to prompt the driver to wake up from drowsiness as necessary after the preliminary alert. In response to that a predetermined response operation by the driver is detected within a predetermined time after the preliminary alert, the alert threshold value is changed to be higher.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect steering, speed, and position data about a plurality of vehicles from one or more infrastructure sensors, identify a vehicle that varies from a specified position in a roadway lane relative to a roadway lane marker or exceeds a threshold speed based on the collected data, instruct the identified vehicle to move to a side of a roadway, and send a message to a central server including an identification of the vehicle.

Abstract: An access management and reporting system includes a keysafe that is located outside of a building and a communication system that is located within the building. The communication system is configured to perform, over a short-range wireless communication protocol, two-way communication with a communication module of the keysafe. The system also includes a server that is located remote from the building and the keysafe. The server is configured to perform, over a long-range communication protocol, two-way communication with the communication system located within the building, is configured to manage access to the keysafe, and is configured to handle reporting related to access of the keysafe.

Abstract: A collision avoidance and road safety system is applied to a road network comprised of a plurality of road segments for a location to produce real time or dynamic forecasting of collision risk and root causes of the potential collision.

Abstract: Systems and methods in accordance with embodiments of the invention can obtain and use a variety of telematics data to classify trips taken by a vehicle. Trip models can be generated based on telematics data captured during the operation of a vehicle. A variety of features of the trip model, such as the timing and/or location of stops made by the vehicle during one or more trips, can be used to classify the trip as a business trip or a personal trip. In several embodiments, machine classifiers are trained to classify features within the trip models based on historical trips that have been classified as business trips or personal trips. A number of trip models can be combined with other driver attributes to classify a particular vehicle and/or driver as engaged with a transportation network company.

Abstract: An instant traffic condition warning method comprises the following steps. A controller receives a vehicle distance value and a vehicle velocity value, and the controller determines whether the vehicle distance value is less than a distance threshold. When the vehicle distance value is less than the distance threshold, the controller determines whether the vehicle velocity value is larger than a velocity threshold. When the vehicle velocity value is larger than the velocity threshold, a warning element generates a warning signal.

Abstract: A traffic control method and system that interfaces to all available traffic control systems (401), which include all manner of existing traffic control systems and new traffic control systems, extends the scope and capabilities the real-time monitoring of traffic characteristics (402) and utilizes artificial intelligence techniques to predict and/or detect traffic congestion (403), as well as to determine corrective actions (404) to be performed by relevant available mechanisms. These corrective actions are then caused to occur by providing appropriate data and instructions to the selected mechanisms and systems using compatible interfaces provided for this purpose.

Abstract: Embodiments of a system for improving automobile safety are disclosed.

Abstract: Provided is a smart roadside unit, including a light intensity sensor configured to generate current light intensity information; a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image; and a controller configured to turn on the high-bright camera assembly to shoot when the current light intensity is greater than a first light intensity threshold, turn on the low-bright camera assembly to shoot when the current light intensity is less than a second light intensity threshold, and extract vehicle information from the high-bright image or the low-bright image, in which the second light intensity threshold is smaller than the first light intensity threshold.

Abstract: A sensor apparatus for integration with a building fire system includes a first mounting interface configured to physically couple to a mounting surface. This first mounting interface comprises a first power connector configured to receive power from the building fire system. The sensor apparatus further comprises an environmental sensor electrically coupled to the first power connector and configured to use the power from the building fire system to monitor environmental conditions of a building.

Abstract: Traffic signals can become skewed due to car crashes, severe winds, vandalism, earthquakes and other man-made or natural phenomena. Severe skewing is termed a “conflict.” An advantageous position detection mechanism is configured to mount inside a traffic light signal head. If signal head movement is outside of predefined limits, an electrical signal is generated indicating a conflict, i.e. traffic signal skewing so severe that drivers and pedestrians are endangered. Normal operation of the intersection is terminated and automatic communications to an appropriate command and control facility are made. For example, a conflict may cause the traffic signal to generate a flashing red light until the traffic signal is repaired.

Abstract: A method for a vehicle is provided. The method comprises: determining a weight and position of an item of cargo being transported by the vehicle; transmitting information comprising the weight and position to a cargo management system remote from the vehicle; receiving a weight distribution instruction from the cargo management system; and communicating the weight distribution instruction to an occupant of the vehicle.

Abstract: A multi-parameter patient monitoring device rack can dock a plurality of patient monitor modules and can communicate with a separate display unit. A signal processing unit can be incorporated into the device rack. A graphics processing unit can be attached to the display unit. The device rack and the graphic display unit can have improved heat dissipation and drip-proof features. The multi-parameter patient monitoring device rack can provide interchangeability and versatility to a multi-parameter patient monitoring system by allowing use of different display units and monitoring of different combinations of parameters. A dual-use patient monitor module can have its own display unit configured for displaying one or more parameters when used as a stand-alone device, and can be docked into the device rack when a handle on the module is folded down.

Abstract: An automated commissioning and floorplan configuration (CAFC) device can include a CAFC system having a transceiver and a CAFC engine, where the transceiver communicates with at least one device disposed in a volume of space, where the CAFC engine, based on communication between the transceiver and the at least one device, commissions the at least one device.

Abstract: A map-providing server includes: a travel information database creation unit that receives position information of a vehicle and vehicle brake application information; a place of residence estimation unit that estimates the position of the place of residence of a vehicle; a sudden braking location identification unit that identifies a location of the occurrence of vehicle sudden braking from information from the travel information database creation unit; a unit for determining the cause of sudden braking, which determines whether the location where sudden braking has occurred locally, at a position within a predetermined range from the position of the place of residence of the user of the vehicle; and a unit for recording sudden braking information that records, on map information, the location where sudden braking has occurred, in association with information indicating whether the vehicle user is a local resident.

Abstract: A wearable device includes one or more biometric sensors, each of the one or more biometric sensors gathering biological data from a wearer of the wearable device, the wearable device further having a computer processor for receiving the biological data from the one or more biometric sensors and generating biometric information based on the biological data and according one or more biometrical algorithms, the biometric information including validation information to validate the wearer as a source of the biological data gathered by each of the one or more sensors, the biometric information further including sleep information to provide a sleep profile of the wearer.

Abstract: An RFID-enabled storage container and systems and methods for assembly and use thereof. The RFID-enabled storage container may include adjustable shelving with built-in antennas, such that the shelving may be customized as may be needed. The system may include a storage container, an inventory management system, and one or more point of use terminals. The storage container may identify and check inventory stored thereon, and provide such information to the inventory management system. The storage container may notify the inventory management system when a product is no longer detected within its inventory, and the inventory management system may monitor the one or more point of use terminals to determine if the undetected product has been used at one of the point of use terminals. The inventory management system may also predict inventory needs as well as maintain age and other data for inventory and provide feedback via an illumination indication.