A fused image of the person's hand is accessed, the fused image having been generated using a segmented graylevel image and a segmented color image. The hand in the fused image is identified. One or more finger tips and one or more finger valleys in the fused image are identified. One or more fingers of the hand are segmented, based on the identified finger tips and finger valleys. The one or more fingers of the hand are labeled. One or more features for each finger of the hand are determined.

A light compensating system in accordance with this invention comprises a plurality of light emitting devices, an image capturing device, and a processing device. The processing device is respectively coupled to the plurality of light emitting devices and the image capturing device. Each light emitting device is used for emitting light to illuminate a certain area in space. The image capturing device is used for capturing a first image, which can be defined as a plurality of image blocks. Each image block is affected by the light from at least one corresponding light emitting device. The processing device is used for analyzing a brightness value of at least one of the plurality image block and adjusting at least one light emitting device corresponding to the analyzed image block based on the brightness value.

A docking system comprises at least one host (100), multiple peripherals (110,111,112) and a head wearable device (120). The host is arranged for wireless docking with the head wearable device as a dockee. The head wearable device has a camera (123) for capturing an image of the peripherals in an operating environment, and a dockee processor (122) arranged for detecting, via the head wearable device, a focus position in the operating environment based on a viewing direction of a wearer, processing the image for identifying the peripherals, selecting a peripheral out of the peripherals in the image using the focus position, determining a selected host by determining the host that provides access to the selected peripheral, and docking to the selected host and accessing the selected peripheral. The host has a host processor (101) arranged for receiving a selection message indicative of the selected peripheral, docking the head wearable device as the dockee, and providing access to the selected peripheral.

Disclosed are system and processes that provide for community security systems. These community security systems integrate technology, community resources, and people to deter, prevent, or minimize the impact of intrusion, invasion, or unlawful entry to the community. An integrated management security system, an alert tower system, and a detection device system can communicate in real time to provide alerts regarding the presence of unauthorized, dangerous, reckless, or otherwise undesired vehicles or activities to members of an associated community.

Systems and methods for characterizing an obscurant and imaging a target are disclosed. In one embodiment, a method of imaging a target includes characterizing at least one obscurant present in an environment, and determining, based on the at least one characterized obscurant, one or more of the following: one or more wavelengths corresponding to the at least one obscurant, a polarization state corresponding to the at least one obscurant, and a sensor exposure time corresponding to the at least one obscurant. The method further includes adjusting one or more parameters of an imagining system based at least in part on a characterization of the at least one obscurant.

Methods and apparatuses are shown for selectively capturing a targeted animal that are directed to capturing an animal in a capture module having a one way capture mechanism and, using instructions executing in a controller, sensing the animal in an identification module and, responsive thereto, capturing an image of the animal, analyzing the captured image to identify whether the animal is a targeted animal, if the animal is the targeted animal, processing the animal, and releasing the animal. Additional examples involve performing chromatic or pattern analysis on the captured image, using the chromatic or patent analysis results, searching a database for machine recognized animal colors or patterns, generating a probabilistic assessment based on color or pattern of whether the animal in the identification module is the targeted animal, and generating a target determination indication based on the probabilistic assessment based on color or pattern. Processing the animal may include injecting the animal using a syringe.

A vehicle as a moving body is provided with an imaging device as first object detecting means and a radar apparatus as second object detecting means. The object recognition apparatus is provided with axis displacement learning means for learning an axis displacement of the reference axis X1 of the first object detecting means; axis displacement determining means for performing, based on an object detecting result of the first object detecting means and the second object detecting means, an axis displacement determination process for determining whether or not an axis displacement has occurred in the reference axis of the second object detecting means; and disabling means for disabling, based on a learning result of the axis displacement by the axis displacement learning means, information about an axis displacement of the second object detecting means acquired by the axis displacement determination process.

Device for measuring the length and diameter of a container using structured lighting includes a receiving area for receiving a container having a length and width. Receiving area has a surface on which container is received. A first laser line generator is provided and configured for directing a triangular plane of laser light at receiving area and container received in receiving area. A camera provided and configured for detecting an image of a first laser line appearing on surface of container in receiving area, and detecting an image of a second laser line appearing on surface of receiving area. An analyzing device may be provided to receive images of first and second laser lines, and use images of first and second laser lines to determine diameter and length of container received on receiving surface. Analyzing device may determine length and width of container by counting pixels.

Evaluating structural changes in a sample resulting from a treatment of the sample. At least one sample of the material is scanned before and after the treatment and a first and a second image of the sample are obtained. The first and the second images are registered in a full spatial resolution using at least one region of the first image and at least one region of the second image, the regions corresponding to the same part of the sample. The registered images are analyzed and the changes in each sample caused by the performed treatment are evaluated.

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified area of the property with the damage is mapped to one of a plurality of stored repair procedure templates to generate a list of one or more parts and one or more repair lines to make a repair. The generated data list for the identified area of the property with the damage is provided.