The present disclosure relates to the field of image processing and discloses an agricultural advisory system (100) comprising a user device (102) and a cloud server (104). The user device (102) captures a digital image of a scene, receives a sensed data corresponding to scene-related and environmental parameters, and transmits the image and the sensed data to the cloud server. The server (104) stores one or more pre-trained prediction models and a three-dimensional HyperIntelliStack which maps red green blue (RGB) pixel values with hyperspectral reflectance values. The server (104) receives the digital images and the sensed data, transforms the received image made of RGB pixel values into a hyperspectral image using the HyperIntelliStack data structure, computes vegetation indices for each pixel of the hyperspectral image to generate a segmented image, and generates at least one advisory for agriculture and allied areas using the segmented image and one or more prediction models.

Systems to extend signal transfer used with a camera device comprise a first location station with a first receiver and a second receiver. The first receiver receives wireless signals from a user device that are changed and sent through a fiber optic cable to a second location station. The second receiver receives signals through the cable from the second location station, which signals are changed to wireless signals output to a user device. The second location station comprises a third receiver that receives from the cable from the first location station, which signals are changed to wireless signals output to a camera device. The second location comprises a fourth receiver that receives wireless signals from the camera device, which signals are changed at the first location to signals sent through the cable from the second location station to the first location station.

Method for leveraging battery residue energy and a capsule endoscope using the method are disclosed. The capsule endoscope is capable of performing one or more functions at a first throughput or a first peak current when the battery has sufficient energy. According to this method, whether the battery energy is sufficient is determined. Upon determining the battery energy being insufficient, at least one function of the one or more functions is performed at a second throughput lower than the first throughput, or at least one function of the one or more functions is switched to another function requiring a second peak current lower than the first peak current

Data about operating parameters external to a vehicle can be input to a neural network that outputs at least one profile defining at least one of a cleaning protocol or a cooling protocol for a vehicle sensor, wherein the operating parameters include one or more of current weather conditions, future weather conditions, images indicative of a current weather condition, city infrastructure, duration of a route to be traversed, a time period to traverse the route, and vehicle location. Operation of at least one of a cleaning device or a cooling device can be initiated according to the at least one of the cleaning protocol or the cooling protocol when the operating parameters to the at least one profile.

In one embodiment, a device obtains sensor data from one or more sensors worn by a first responder. The device analyzes the sensor data to identify a position of a person with whom the first responder is interacting. The device determines that a policy violation has occurred based in part on the position of the person. The device provides an alert that indicates the policy violation.

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

A moving body control system controls a moving body being a target of remote support by a remote operator. The moving body control system acquires an image captured by a camera installed on the moving body, and spatially splits the image into a plurality of split images. The moving body control system sets importance of each of the plurality of split images such that the importance of a split image with a higher need for gaze by the remote operator is higher than the importance of a split image with a lower need for the gaze by the remote operator. The moving body control system encodes and transmits each split image to a remote support device on the remote operator side such that an image quality of the split image of the higher importance is higher than an image quality of the split image of the lower importance.

An automated alert system, device and method designed to deliver crisis notifications within seconds to law enforcement personnel. The alert system and method is designed to enhance the response time to an active shooter scenario, thereby minimizing the number of causalities or victims associated with such dangerous scenarios. The system and method uses combination of various hardware components, cellular automation and partnership with first responders to provide an advanced alert system which ensures quick responses.

An electronic apparatus is disclosed. The electronic apparatus comprises: a first camera having a first image capturing angle; a second camera having a second image capturing angle larger than the first image capturing angle; and a processor which when a portion of a target object is identified and an obstacle object overlapping the other portion of the target object is identified from at least one of a first captured image acquired from the first camera and a second captured image acquired from the second camera, acquires location information of the identified obstacle object, identifies a region of interest in the second captured image on the basis of the acquired location information of the obstacle object, and identifies the other portion of the target object on the basis of the region of interest in the second captured image.

Improved fluorescent imaging and other sensor data imaging processes, including hyperspectral imaging, devices, and systems are provided to enhance endoscopes with multiple wavelength capabilities and providing sequential imaging and display. A first optical device is provided for endoscopy imaging in a white light and a fluoresced light mode with an imaging unit including one or more image sensors. A mechanism in the first optical device to automatically adjust the focus of the first optical device using one or more deformable, variable-focus lenses, wherein the automatic focus adjustment compensates for a chromatic focal difference between the light collected at distinct wavelength bands caused by the dispersive or diffractive properties of the optical materials or optical design employed in the construction of the first or second optical devices, or both. Further variable spectrum imaging is enhanced with the use of adjustable spectral filters.