Patent classifications
G06V10/147
INTELLIGENT ITEM RECEPTACLE
An intelligent item receptacle, system, and method for providing supplemental media content in response to depositing an item having media indicia disposed thereon. An intelligent item receptacle includes an item receptacle securely enclosing an interior volume, an item sensor configured to detect an inserted item, a camera within the interior volume configured to capture an image of the item, and an output configured to play audio or visual content to bystanders outside the item receptacle. Processing circuitry within the item receptacle analyzes the image to determine if the media indicia are present on the item and, if present, causes the output to play the audio or visual content associated with the media indicia.
Multi-band biometric camera system having iris color recognition
A system and method for authenticating a user of a device. A multi-band biometric iris scan camera system is capable of obtaining an iris image using near-infrared (NIR) light and/or visible wavelength (VW) light. The camera system can initially image a user to detect the iris color of the user and, based on the iris color, determine whether to use the NIR iris scan or the VW iris scan. Additionally, NIR and VW systems can be operated as integrated camera systems. The iris scan camera system can take a series of images and compare against a database of anonymous iris images captured at different illumination conditions, for selecting a preferred illumination condition for capturing the iris and performing authentication. The iris scan camera system can optionally track eye movement to determine when to trigger an iris scan, identify obstructions to the iris such as eyelids and eyelashes to implement corrective measures in the iris image processing, and identify facial features to determine whether the left and/or right eye is being imaged.
Image pickup device
A device includes an illumination device that casts light of a prescribed polarization direction on a scattering body, a camera that picks up images of the scattering body at a plurality of different polarization angles, and a processor that executes a process of generating and outputting an inner layer image, of an inner layer of an inside of the scattering body, in response to a depth from a surface of the scattering body on the basis of the images of the scattering body picked up at the plurality of different polarization angles.
IMAGE PROCESSING DEVICE, IMAGING DEVICE, AND IMAGE PROCESSING METHOD
Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera.
A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.
ENDOSCOPIC IMAGE LEARNING DEVICE, ENDOSCOPIC IMAGE LEARNING METHOD, ENDOSCOPIC IMAGE LEARNING PROGRAM, AND ENDOSCOPIC IMAGE RECOGNITION DEVICE
An object is to provide an endoscopic image learning device, an endoscopic image learning method, an endoscopic image learning program, and an endoscopic image recognition device that appropriately learn a learning model for image recognition for recognizing an endoscopic image in which a treatment tool for an endoscope appears.
The object is achieved by an endoscopic image learning device including an image generation unit and a machine learning unit. The image generation unit generates a superimposed image where a foreground image in which a treatment tool for an endoscope is extracted is superimposed on a background-endoscopic image serving as a background of the foreground image, and the machine learning unit performs the learning of a learning model for image recognition using the superimposed image.
ACTIVE COMPRESSIVE SENSING VIA A THERMAL SENSOR FOR HUMAN SCENARIO RECOGNITION
Disclosed and described herein is a system and a method for thermal detection of static and moving objects.
IMAGING SYSTEMS HAVING AN ELECTROWETTING LENS
An imaging system is provided having an image sensor, an electrowetting lens positioned in front of the image sensor and configured to change at least one optical characteristic in response to an electrical stimulus so as to change a field of view of the image sensor, and a controller coupled to the electrowetting lens and configured to select a field of view of the image sensor by selecting the electrical stimulus to be applied to the electrowetting lens.
FINGER VEIN SENSORS
The present disclosure relates to several types of finger vein sensor. In certain embodiments, the finger vein sensor includes: an image sensor, and an infrared light source. Image sensor captures infrared image of finger vein pattern of a finger of a target human. The image sensor faces down and is positioned at top of finger vein sensor. The infrared light source may include a predetermined number of infrared light-emitting diodes (LED), and they are arranged in one or more rows and one or more columns and positioned at bottom of finger vein sensor. The finger is positioned between infrared light source and image sensor. The infrared light from the infrared light source irradiates the finger vertically from the bottom to generate the infrared image of finger vein pattern of the finger on the image sensor, and the image sensor captures the infrared image of finger vein pattern of the finger.
Systems and methods for detecting light signatures and performing actions in response thereto
There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.
Systems and methods for detecting light signatures and performing actions in response thereto
There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.