Patent classifications
G06V10/143
Systems and Methods for Vehicle Information Capture Using White Light
A method for capturing vehicle information utilizing white light illumination, the method comprising the steps of: capturing, from a camera by a computing device, two or more near-infrared (NIR) or infrared (IR) images of a license plate of a vehicle; determining, by the computing device, whether the license plate was captured; in response to a determination that the vehicle's license plate was captured, determining if two or more images containing contiguous images of the vehicle's license plate were captured; in response to a determination that two or more images containing contiguous images of the vehicle's license plate were captured, determining, by the computing device, a target illumination zone and a time that the vehicle will pass through the target illumination zone; determining whether the vehicle is in the target illumination zone; in response to a determination that the vehicle is in the target illumination zone, initiating a pulse, by the computing device, of a white light; capturing, from the camera by the computing device during the pulse, a white light image; and determining, by the computing device, a license plate number based on the white light image.
Garbage Truck Camera and Safety System
A garbage truck camera and safety system includes a garbage truck having a lift arm mechanism, a hopper, and a trash compacting device disposed within the hopper. At least one camera and temperature sensor are disposed within the hopper. A control module is operably connected to the cameras and the temperature sensor, as well as to one or more vehicle systems, via a vehicle control interface disposed within the driver's cab. The control module includes a processor, a non-transitory computer readable medium operatively connected to the processor, and a logic stored in the non-transitory computer readable medium that, when executed by the processor, causes the system to detect, via the temperature sensor, the temperature within the hopper; and if the temperature detected is above a predetermined threshold temperature, then deactivating the trash compacting device. The system will prevent harm from being done to individuals who accidentally fall into the hopper.
TRANSMITTING METADATA VIA INVISIBLE LIGHT
Systems and methods herein describe transmitting metadata to an augmented reality device using infrared light by receiving a stream of infrared light in real-time from a camera coupled to a head-wearable apparatus, accessing a set of images from the stream of infrared light, generating a set of metadata based on the set of images, generating a plurality of augmented reality content items based on the set of metadata, causing display of the plurality of augmented reality content items on a display device coupled to the head-wearable apparatus as the stream of infrared light is being received.
SYSTEM AND METHOD FOR DETECTING OBJECTS LEFT BEHIND BY USING HEATED RESISTIVE FILAMENT IN A VEHICLE
A system and a method for determining an object has been on a vehicle seat of a vehicle are provided. The processing circuitry may determine if passengers of the vehicle have left the vehicle. The processing circuitry may determine if a temperature of a vehicle cabin of the vehicle meets a threshold of temperature. The temperature of the vehicle cabin to a first temperature may be adjusted. A temperature of resistive filaments of the vehicle seat of the vehicle to a second temperature may be adjusted. A thermal image of the vehicle seat with a reference thermal image of the vehicle seat may be compared. The processing circuitry may determine if the object has been left on the vehicle seat.
METHOD OF AND SYSTEM FOR AUTOMATED MACHINE-ASSISTED DETECTION OF OCULAR DISEASE CONDITIONS IN HUMAN EYES CAPTURED USING VISIBLE ILLUMINATION LIGHT SOURCES AND DIGITAL CAMERA SYSTEMS
Digital imaging processing system and methods for automatically recognizing ocular diseases including dry eye disease, and other ocular conditions in the eyes of humans by automatically (i) processing 2D in vivo digital images of the human eyes formed, captured and detected using a visible-wavelength operating digital camera system, and (ii) using machine-vision image processing subsystems (e.g. engines) to automatically detect the presence and location of specific objects in the ocular surfaces in the human eye, and confirm that specific conditions have been satisfied during image processing to support automated recognition of a specific ocular disease and other ocular conditions indicative of ocular pathology.
Wireless camera mounting system
A camera mounting system and a method for processing images are disclosed. The system includes an external component configured to capture thermal images, and an internal component configured to receive the thermal images. The thermal images are wirelessly transmitted by the external component, the external component is coupled to the internal component via a glass, and the internal component is further configured to wirelessly power the external component.
Multispectral Object-Detection with Thermal Imaging
This document describes techniques, apparatuses, and systems for enabling multispectral object-detection with thermal imaging. A thermal sensor, a multispectral stereo camera system, and an illumination system are used in combination to provide a multispectral object-detection system for use with safety or driving systems for autonomous and semi-autonomous vehicles. The illumination system can provide illumination for the stereo camera system and serve as a range-finder that can determine a distance between the stereo camera system and an object in the system's field-of-view. The stereo camera system can include one or more of various camera or sensor technologies, including infrared or near-infrared, thermal imaging, or visible light. The system can be used to detect objects in the field-of-view, determine a distance to the object, and estimate the object's size and relative motion. The system can reduce costs and resource usage while enabling accurate, high-quality object-detections for safety and autonomous or semi-autonomous control.
Method and apparatus for detecting on-duty state of driver, device, and computer storage medium
A method and apparatus for detecting an on-duty state of a driver, a device, and a computer storage medium are provided. The method includes: determining that a vehicle-mounted image acquisition device is not blocked; extracting a face image from an image acquired by the vehicle-mounted image acquisition device when a vehicle is in a starting state, where the vehicle-mounted image acquisition device is mounted on the vehicle and is at least configured to acquire an image of a driving position region of the vehicle; and in response to the case that no face image is extracted from the acquired image, determining that the driver is off duty.
SENSOR-EMBEDDED DISPLAY PANEL AND ELECTRONIC DEVICE
A sensor-embedded display panel includes a substrate, first, second, and third light emitting elements on the substrate, the first, second, and third light emitting elements including separate, respective light emitting layers, and a light absorbing layer on the substrate, the light absorbing layer being in parallel with the light emitting layer along the surface direction of the substrate, wherein the first, second, and third light emitting elements and the light absorption sensor include a first common auxiliary layer that is continuously disposed on the light emitting layers and the light absorbing layer, and a common electrode on the first common auxiliary layer and configured to apply a common voltage to the first, second, and third light emitting elements and the light absorption sensor, and the light absorption sensor includes an n-type semiconductor layer between the light absorbing layer and the first common auxiliary layer and including an n-type semiconductor.
ENHANCED DETECTION USING SPECIAL ROAD COLORING
Disclosed herein are methods and systems for detecting dynamic objects using road painted patterns perceptible in infrared spectral range, comprising receiving images captured in one or more infrared spectral ranges depicting a road segment painted with background patterns which are highly imperceptible in visible light spectrum while highly visible in one or more infrared spectral ranges, analyzing the images to detecting one or more dynamic objects located in front of the background patterns. The light reflected by the one or more dynamic objects in the one or more infrared spectral ranges deviating from the light reflected by the one or more background pattern and computing a location of the one or more identified objects. Further disclosed are methods and systems for calibration of systems and/or sensors based on reference markings which are highly imperceptible in visible light spectrum while highly visible in the infrared spectral range(s).