Abstract: The monitoring device includes a captured image acquisition unit that captures a captured image of a monitoring target, a determination unit that determines a type of the monitoring target included in the captured image, an abnormality detection unit that detects an abnormality by applying the captured image to a monitoring model corresponding to the type of the monitoring target determined by the determination unit, the monitoring model being used to detect an abnormality related to the monitoring target included in the captured image, and an output unit that, when the abnormality is detected by the abnormality detection unit, performs an output related to detection of the abnormality. With such a configuration, it is possible to detect an abnormality using the monitoring model corresponding to the type of the monitoring target included in the captured image, and it is possible to perform abnormality detection according to the actually captured monitoring target.

Abstract: To provide a positional relationship acquiring apparatus that can acquire the positional relationship between a plurality of rotation shafts that are driven by a plurality of motors, without a user manually performing setting or the like. A positional relationship acquiring apparatus includes: a motor control unit that controls a plurality of motors of a robot that has a plurality of rotation shafts that are respectively driven by the plurality of motors; a receiving unit that receives angular velocities that have been acquired by a plurality of angular velocity sensors that are respectively provided for the plurality of rotation shafts; and a positional relationship acquiring unit that acquires a positional relationship between the plurality of rotation shafts, using the angular velocities acquired by the plurality of angular velocity sensors and received by the receiving unit when the plurality of rotation shafts have been rotated by the motor control unit one by one.

Abstract: A counting apparatus includes: a storage unit storing a learning model, the learning model being trained using multiple pairs of training input images each obtained by capturing an image of multiple count target objects with the same shape, and training output images each containing teaching figures that are arranged at respective positions of the multiple count target objects. A captured image acquiring unit acquiring a captured image of multiple count target objects; an output image acquiring unit acquiring an output image in which the count target objects contained in the captured image are converted into count target figures, by applying the captured image to the learning model. A counting unit counting the number of count target objects, using the multiple count target figures contained in the output image; and an output unit outputting the number of count target objects counted by the counting unit.

Abstract: Provided is a link-sequence mapping device capable of automatically mapping a model link-sequence to a link sequence of an arbitrarily defined robot.

Abstract: To provide a positional relationship acquiring apparatus that can acquire the positional relationship between a plurality of rotation shafts that are driven by a plurality of motors, without a user manually performing setting or the like. A positional relationship acquiring apparatus includes: a motor control unit that controls a plurality of motors of a robot that has a plurality of rotation shafts that are respectively driven by the plurality of motors; a receiving unit that receives angular velocities that have been acquired by a plurality of angular velocity sensors that are respectively provided for the plurality of rotation shafts; and a positional relationship acquiring unit that acquires a positional relationship between the plurality of rotation shafts, using the angular velocities acquired by the plurality of angular velocity sensors and received by the receiving unit when the plurality of rotation shafts have been rotated by the motor control unit one by one.

Abstract: Provided is a link-sequence mapping device capable of automatically mapping a model link-sequence to a link sequence of an arbitrarily defined robot.