Patent classifications
G06V20/593
SMART VEHICLE SEAT
The invention concerns a system for controlling a smart vehicle seat (1) having a seat base (1b) and a backrest (1c), the surfaces of which are provided with flat pressure sensors, the pressure sensors being connected to a microcontroller (6) via which an actuator element is controllable via a drive unit (9), whereby the actuator element is adapted to change the surface of the seat base (1b) and/or the backrest (1c). It is the object of the invention to develop the system in a way that it automatically adapts to a sitting posture of a user and adjusts the surface of the seat base and of the backrest in an extremely flexible and exactly way depending on the user's posture. Therefore, the invention proposes, that the actuator element comprises one or more valves via which one or more airbags are controllable. Furthermore the invention proposes to use graphene sensors as pressure sensors and to integrate an artificial intelligence module (7) on the microcontroller (6).
Method for Detecting State of Presence of Object in Vehicle
Systems and techniques are described herein for detecting a state of presence of a given object in a vehicle. In aspects, techniques include processing data received over time from various devices in the vehicle to determine a set of accumulated scores. The data includes parameters indicative of a presence or absence of a detected object in the vehicle. Further, the processing may be effective to determine a set of accumulated scores. The techniques further include determining an object-related confidence value representing a likelihood that the detected object is present in the vehicle, based on the set of accumulated scores, and then comparing the object-related confidence value to a predetermined threshold. The comparison is sufficient to detect the presence of the detected object in the vehicle if the object-related confidence value exceeds the predetermined threshold.
PASSENGER VEHICLE AND OPERATION MANAGEMENT SYSTEM
A congestion rate calculation unit calculates a congestion rate in the cabin based on the number of recognized passengers. When the congestion rate is more than a predetermined congestion threshold, an in-vehicle display and an in-vehicle speaker are capable of giving an alighting notification that notifies the presence of a passenger who is alighting at the next stop and seat information of the passenger, and does not make an alighting notification when the congestion rate is less than or equal to the congestion threshold in the process of the passenger vehicle heading to the next stop.
Analysis apparatus, analysis method, and non-transitory storage medium for deciding the number of occupants detected in a vehicle
An analysis apparatus detects persons from a first image generated by a first camera that captures a vehicle, detects the number of occupants in the vehicle captured in the first image, detects persons from a second image generated by a second camera that captures the vehicle, detects the number of occupants in the vehicle captured in the second image, determines whether or not the first image and the second image satisfy a predetermined condition, and decides, in a case where the first image and the second image satisfy the predetermined condition, the number of occupants in the vehicle with use of the number of occupants in the vehicle captured in the first image and the number of occupants in the vehicle captured in the second image.
Detection, counting and identification of occupants in vehicles
A method of detecting occupants in a vehicle includes detecting an oncoming vehicle and acquiring a plurality of images of occupants in the vehicle in response to detection of the vehicle. The method includes performing automated facial detection on the plurality of images and adding a facial image for each face detected to a gallery of facial images for the occupants of the vehicle. The method includes performing automated facial recognition on the gallery of facial images to group the facial images into groups based on which occupant is in the respective facial images, and counting the final group of unique facial images to determine how many occupants are in the vehicle.
PROCESSING APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires a capture image capturing a movement means, an image analysis unit (12) that computes, based on the capture image, the number of persons each having an attribute satisfying a first criterion among persons inside the movement means, and the number of persons targeted for comparison, a computation unit (13) that computes a ratio of the number of persons satisfying the first criterion to the number of persons targeted for comparison, and an output unit (14) that outputs alert information when the ratio satisfies an alert condition.
OBJECT TEMPERATURE REGULATOR SYSTEM
An object temperature regulator system for a vehicle for managing the temperature of a part of an object inside of the vehicle, the object temperature regulator system includes: at least one camera sensor; at least one object temperature regulator device configured to provide cooling and/or heating in a proximity to the object temperature regulator device; and a processing circuitry operatively connected to the camera sensor and the object temperature regulator device, the processing circuitry is configured to cause the object temperature regulator system to: detect a part of an object inside of the vehicle in image data obtained by the camera sensor; and control cooling or heating of the part of the detected object by the object temperature regulator device.
SENSOR FUSION AREA OF INTEREST IDENTIFICATION FOR DEEP LEARNING
Sensor fusion is performed for efficient deep learning processing. A camera image is received from an image sensor and supplemental sensor data is received from one or more supplemental sensors, the camera image and the supplemental sensor data including imaging of a cabin of a vehicle. Regions of interest in the camera image are determined based on one or more of the camera image or the supplemental sensor data, the regions of interest including areas of the camera image flagged for further image analysis. A machine-learning model is utilized to perform object detection on the regions of interest of the camera image to identify one or more objects in the camera image. The objects are placed into seating zones of the vehicle.
VEHICLE DISPLAY SYSTEM
A vehicle display system includes: a display device that is mounted on an outer surface of a vehicle and that includes a display unit that notifies information to outside of the vehicle; and a controller that controls the display device. The controller receives a state inside the vehicle cabin from at least one of a device that changes the state inside the vehicle cabin of the vehicle and a device that detects the state inside the vehicle cabin, and performs control of displaying information indicating the state on the display unit of the display device.
IMAGE ANALYSIS APPARATUS AND MONITORING SYSTEM
An image analysis apparatus includes a person information acquisition unit configured to analyze a captured image of a monitored space imaged by a camera so as to acquire information of a person imaged in the captured image, and a hidden state detection unit configured to detect occurrence of a hidden state in which a plurality of the persons are imaged to overlap in the captured image.