Abstract: Provided is an image processing system which determines at least one object using a low function device and a high function device having higher calculation capacity than the low function device. The low function device includes a part configured to output a first determination result which identifies the objects by applying a first convolution neural network to captured images of the objects, and a part configured to output the captured image to the high function device when the first determination result meets a predetermined condition. The high function device includes a part configured to apply a second convolution neural network preliminarily learned from a sample which is at least partially common to the first neural network to the captured image and to output a second determination result which identifies the object.

Abstract: A positional calibration is enabled between an imaging device and a stage structure including X and Y stages that move independently of each other. An image processing apparatus performs the positional calibration of a camera coordinate system for an imaging device with a stage coordinate system using a reference position in a first image coordinate space indicating a position of a mark in an image captured when an X-stage is at a reference position, a displaced position in the first image coordinate space indicating a position of the mark in an image captured when the X-stage is at a first displaced position to which the X-stage moves in X-direction from the first reference position, and a virtual position in the first image coordinate space indicating a position of the mark in an image calculated using the characteristic value of a Y-stage.

Abstract: Provided is an image processing system which determines at least one object using a low function device and a high function device having higher calculation capacity than the low function device. The low function device includes a part configured to output a first determination result which identifies the objects by applying a first convolution neural network to captured images of the objects, and a part configured to output the captured image to the high function device when the first determination result meets a predetermined condition. The high function device includes a part configured to apply a second convolution neural network preliminarily learned from a sample which is at least partially common to the first neural network to the captured image and to output a second determination result which identifies the object.

Abstract: A positional calibration is enabled between an imaging device and a stage structure including X and Y stages that move independently of each other. An image processing apparatus performs the positional calibration of a camera coordinate system for an imaging device with a stage coordinate system using a reference position in a first image coordinate space indicating a position of a mark in an image captured when an X-stage is at a reference position, a displaced position in the first image coordinate space indicating a position of the mark in an image captured when the X-stage is at a first displaced position to which the X-stage moves in X-direction from the first reference position, and a virtual position in the first image coordinate space indicating a position of the mark in an image calculated using the characteristic value of a Y-stage.

Abstract: A control system executes a first control operation, and then executes a second control operation. In the first control operation, the image processing section obtains the image data and specifies a position of a characteristic part. The control section determines a control instruction for accelerating an object to a predetermined first speed based on the specified position of the characteristic part and then decelerating the object to a predetermined second speed lower than the first speed, to move the object to an intermediate target position away from the final target position by a predetermined margin distance. In the second control operation, the image processing section obtains the image data during movement of the moving mechanism and specifies the position of the characteristic part, and the control section determines a control instruction for positioning the object to the final target position based on the specified position of the characteristic part.

Abstract: A control system executes a first control operation, and then executes a second control operation. In the first control operation, the image processing section obtains the image data and specifies a position of a characteristic part. The control section determines a control instruction for accelerating an object to a predetermined first speed based on the specified position of the characteristic part and then decelerating the object to a predetermined second speed lower than the first speed, to move the object to an intermediate target position away from the final target position by a predetermined margin distance. In the second control operation, the image processing section obtains the image data during movement of the moving mechanism and specifies the position of the characteristic part, and the control section determines a control instruction for positioning the object to the final target position based on the specified position of the characteristic part.