Abstract: The objective of the present invention is to provide a control system which enables a conveying vehicle to convey an object to be conveyed, even if a camera is installed out of position. A control system according to the present disclosure comprises: a change unit which, in accordance with the inclination of an imaging device that has captured a first video, changes position information relating to a plurality of feature points indicating an object to be conveyed that appears in the first video; a selecting unit that uses the changed feature point position information to select a method for identifying the disposition of a surface of the object to be conveyed; and a control unit that controls a moving body for conveying the object to be conveyed, in accordance with the disposition of the surface of the object to be conveyed identified in accordance with the selected identification method.

Abstract: A free-range livestock management server apparatus acquires information related to an individual animal or a location; identifies the individual animal based on acquired information; identifies location based on acquired information; grasps condition of individual animal or the location based on acquired information; monitors an abnormal condition of the individual animal or the location based on acquired information; sorts the information related to identified individual animal, identified location, grasped condition, and monitored abnormal condition for the identified individual animal or the identified location to associate each piece of the information with the identified individual animal or the identified location; stores the sorted and associated information; determines urgency of information related to abnormal condition of the individual animal or the location among the stored information based on a preset criterion; and creates notification information based on the information determined urgent to t

Abstract: An information processing device according to the present disclosure comprises: an acquisition unit that acquires the history of handling of a commodity of interest; a prediction unit that predicts a quantity after handling in relation to the handling included in the history of handling of the commodity of interest and calculates a predicted quantity of the commodity of interest on the basis of the history of handling of the commodity of interest, by using a prediction model; and an abnormality determination unit that determines, on the basis of the difference between the quantity of the commodity of interest after handling in the history of handling of the commodity of interest and the predicted quantity of the commodity of interest calculated by the prediction unit, whether or not there is abnormality in the quantity change indicated by the history of handling of the commodity of interest.

Abstract: There is provided a health condition determination apparatus including: a behavior data acquisition part that acquires behavior data indicating a behavior of an animal acquired by executing at least one of monitoring and sensing on the animal; a behavior data accumulation part that accumulates the behavior data; and a health condition estimation part that estimates a health condition of the animal by using the behavior data.

Abstract: An evaluation apparatus includes: an evaluation method acquisition part configured to acquire evaluation method data from an evaluation method provision apparatus; an evaluation criteria creation part configured to create evaluation criteria information for evaluating collected information that integrates data collected from a field management system that manages field information based on the evaluation method data; an evaluation processing part configured to evaluate the collected information based on the evaluation criteria information and create an evaluation result.

Abstract: There is provided a network control apparatus that realizes an in-vehicle network with low power consumption. The network control apparatus comprises a vehicle state acquisition part that acquires the state of a vehicle; a control profile acquisition part that acquires a control profile, according to the acquired vehicle state, from one or more control profiles including settings for controlling equipment connected to an in-vehicle network; and a control part that controls equipment within the in-vehicle network on the basis of the acquired control profile.

Abstract: An image processing apparatus (100) includes: an acquisition unit (102) that acquires a plurality of images acquired by photographing a same location at different timing; a selection unit (104) that compares at least two of the plurality of images, and selects a target region being a region where a difference between the two images satisfies a criterion; and a processing unit (106) that performs average processing of averaging the target region included in each of the at least two images.

Abstract: Provided is an article position management apparatus that a receiver receives image data from a camera apparatus and that identifies a position of an article, based on an article marker attached to an article and a reference point marker whose coordinate information in an absolute coordinate system in a field is set in advance, the article marker and the reference point marker being included in the image data, when the camera apparatus is a mobile camera apparatus, and identifies the position of the article, based on the article marker included in the image, when the camera apparatus is a fixed camera apparatus.

Abstract: A volume measurement apparatus comprises: a point group conversion part converting depth information from a depth sensor into point group data; a raw material heap detection part detecting a point group related to a raw material heap from the point group data, using repose angle information; and a raw material heap volume calculation part that calculates a volume of the raw material heap non-occlusion part based on the point group related to the raw material heap; estimates a volume of the raw material heap occlusion part in the raw material heap, using at least the point group related to the raw material heap; and calculates a volume of the raw material heap, which is a sum of the calculated volume of the raw material heap non-occlusion part and the estimated volume of the raw material heap occlusion part.

Abstract: Article position estimation system comprises: article movement recognition part; reference point recognition part; position information generation part; and article position estimation part. Article movement recognition part generates article movement information including time point when article is taken out by mobile body or time point when article placement is completed by mobile body. Reference point recognition part recognizes reference point and generates reference point recognition information including identification information according to recognized reference point, reference point recognition time point, and information related to recognized reference point. Position information generation part generates information related to position of mobile body at reference point recognition time point based on reference point recognition information.

Abstract: A car-loaded communication apparatus comprises: an acquisition part; and a selection part. The acquisition part acquires car information related to a state of a car in which a communication network is constructed inside, or an environment in which the car is placed. The selection part selects a communication route of a flow accommodating a transmission packet(s) from a plurality of communication routes included in the communication network, based on: the car information; and communication route information related to a communication route(s) included in the communication network.

Abstract: A volume measurement apparatus comprises: a point group conversion part converting depth information from a depth sensor into point group data; a raw material heap detection part detecting a point group related to a raw material heap from the point group data, using repose angle information; and a raw material heap volume calculation part that calculates a volume of the raw material heap non-occlusion part based on the point group related to the raw material heap; estimates a volume of the raw material heap occlusion part in the raw material heap, using at least the point group related to the raw material heap; and calculates a volume of the raw material heap, which is a sum of the calculated volume of the raw material heap non-occlusion part and the estimated volume of the raw material heap occlusion part.

Abstract: An object detection apparatus comprising: an input part configured to input video data, an extraction part configured to extract image data from the video data, and a determination part configured to determine whether or not the image data includes an object, wherein the determination part is configured to: set a plurality of regions in a learning image data such that the object appearing in the learning image data extracted from a learning video data captured in advance extends over at least the plurality of regions, assign a learning teach label to each of the regions set, and determine whether or not the image data includes the object by using a prediction model generated by utilizing the learning teach label assigned to each of the regions set.

Abstract: Provided is an article position management apparatus that a receiver receives image data from a camera apparatus and that identifies a position of an article, based on an article marker attached to an article and a reference point marker whose coordinate information in an absolute coordinate system in a field is set in advance, the article marker and the reference point marker being included in the image data, when the camera apparatus is a mobile camera apparatus, and identifies the position of the article, based on the article marker included in the image, when the camera apparatus is a fixed camera apparatus.

Abstract: An in-vehicle control apparatus controls a plurality of repeaters included in an in-vehicle network assembled in a vehicle, based on a control scenario(s) associated with states of the vehicle and control contents, each of which is set in a corresponding one of the plurality of repeaters.

Abstract: Article position estimation system comprises: article movement recognition part; reference point recognition part; position information generation part; and article position estimation part. Article movement recognition part generates article movement information including time point when article is taken out by mobile body or time point when article placement is completed by mobile body. Reference point recognition part recognizes reference point and generates reference point recognition information including identification information according to recognized reference point, reference point recognition time point, and information related to recognized reference point. Position information generation part generates information related to position of mobile body at reference point recognition time point based on reference point recognition information.

Abstract: A car-loaded communication apparatus comprises: an acquisition part; and a selection part. The acquisition part acquires car information related to a state of a car in which a communication network is constructed inside, or an environment in which the car is placed. The selection part selects a communication route of a flow accommodating a transmission packet(s) from a plurality of communication routes included in the communication network, based on: the car information; and communication route information related to a communication route(s) included in the communication network.

Abstract: An object detection apparatus comprising: an input part configured to input video data, an extraction part configured to extract image data from the video data, and a determination part configured to determine whether or not the image data includes an object, wherein the determination part is configured to: set a plurality of regions in a learning image data such that the object appearing in the learning image data extracted from a learning video data captured in advance extends over at least the plurality of regions, assign a learning teach label to each of the regions set, and determine whether or not the image data includes the object by using a prediction model generated by utilizing the learning teach label assigned to each of the regions set.

Abstract: A drive assistance device includes: a collection unit that collects, from a sensor, own-vehicle-state-information representing a state related to a movement of an own vehicle and a position of the own vehicle; a communication unit that transmits the own-vehicle-state-information to another vehicle, and also receiving another-vehicle-state-information representing a state related to a movement of the another vehicle and a position of the another vehicle, from the another vehicle; a determination unit that determines whether a problem occurs in relation to the another vehicle, based on the another-vehicle-state-information being received; and a generation unit that generates, when the determination unit determines that the problem occurs in relation to the another vehicle, improvement operation information representing an operation of the own vehicle capable of improving the problem related to the another vehicle, based on the own-vehicle-state-information and the another-vehicle-state-information.

Abstract: A software update device includes a communication unit connected with an electronic device that executes software, and a wake-up receiving unit. When the wake-up receiving unit receives a wake-up request from a wireless access point registered in advance, the wake-up receiving unit allows the communication unit to transition from a sleep state to a wake-up state. When the communication unit transitioned to the wake-up state, the communication unit initiates wireless communication with an external device, and updates the software of the electronic device by update software received from the external device.