A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

A system includes a processor and memory storing instructions that when executed by the processor configure the processor to receive an image of a metallographic sample of a product from a microscope, the image including dendritic structures in the metallographic sample; select a portion of the image; and perform morphological operations on the selected portion of the image to transform the image. The instructions configure the processor to overlay a plurality of concentric circles on the transformed image, measure circumferences of the circles, and count the number of intercepts of the circles and boundaries of the dendritic structures in the transformed image. The instructions configure the processor to determine parameters of the dendritic structures based on the measured circumferences and the number of intercepts. The instructions configure the processor to determine structural properties of the product based on the parameters of the dendritic structures.

A system includes a processor and memory storing instructions that when executed by the processor configure the processor to receive an image of a metallographic sample of a product from a microscope, the image including dendritic structures in the metallographic sample; select a portion of the image; and perform morphological operations on the selected portion of the image to transform the image. The instructions configure the processor to overlay a plurality of concentric circles on the transformed image, measure circumferences of the circles, and count the number of intercepts of the circles and boundaries of the dendritic structures in the transformed image. The instructions configure the processor to determine parameters of the dendritic structures based on the measured circumferences and the number of intercepts. The instructions configure the processor to determine structural properties of the product based on the parameters of the dendritic structures.

To provide a easily fish counting device, a fish counting method, a fish count prediction device, a fish count prediction method, a fish counting system, and a fish count prediction system. The fish counting device of the present invention includes: a measurement image acquisition unit 11 configured to acquire, over time, a plurality of measurement images of a region to be measured in a passage region where a fluid containing fish passes through; a fish position acquisition unit 21 configured to acquire positions of the fish in the measurement images; a fish movement line calculation unit 22 configured to calculate movement line(s) of the fish as tracks of movements of the fish on the basis of the acquired positions; and a fish counting unit 23 configured to count the fish on the basis of the movement line(s) of the fish in the measurement images to obtain a fish count.

In the field of the counting of objects, a use is provided of a photosensitive assembly comprising at least one photodiode or one photoresistor, and a source of uniform illumination for illuminating the assembly, the establishment of a reference current supplied by the photosensitive assembly for an illuminated region of this assembly corresponding to a given fraction of the surface of the assembly, the disposition of objects to be counted against the photosensitive assembly, the illumination of the assembly by the source, the objects masking a part of the surface of the assembly, measurement of the current supplied by the assembly, and determination of a ratio between measured current and reference current to deduce the proportion between the surface area of photosensitive element illuminated and the surface area masked by the objects disposed. From this ratio, information on the number of objects disposed on the photosensitive assembly is extracted.

In the field of the counting of objects, a use is provided of a photosensitive assembly comprising at least one photodiode or one photoresistor, and a source of uniform illumination for illuminating the assembly, the establishment of a reference current supplied by the photosensitive assembly for an illuminated region of this assembly corresponding to a given fraction of the surface of the assembly, the disposition of objects to be counted against the photosensitive assembly, the illumination of the assembly by the source, the objects masking a part of the surface of the assembly, measurement of the current supplied by the assembly, and determination of a ratio between measured current and reference current to deduce the proportion between the surface area of photosensitive element illuminated and the surface area masked by the objects disposed. From this ratio, information on the number of objects disposed on the photosensitive assembly is extracted.

The disclosure relates to the technical field of data processing. Disclosed are a pedestrian flow funnel generation method and apparatus, a storage medium and an electronic device. The method can comprise: acquiring a current frame of image, and tracking and updating, according to a multi-target tracking algorithm, a head and shoulder area in a tracking sequence set in the current frame of image; acquiring, according to a head and shoulder recognition model, a head and shoulder area in the current frame of image, and updating, according to the head and shoulder area in the current frame of image, the tracking sequence set; analysing a motion track of each head and shoulder area in the tracking sequence set so as to count pedestrians, and when the current frame of image is the last frame of image, generating a pedestrian flow funnel based on a counting result of pedestrians.

A system and a method for counting aquatic creatures are provided. The system includes an image capture device and a computer system configured to perform the method. The method includes: using the image capture device to capture images of a flow channel; defining a scan line in the images; performing a binarization process on pixels of the scan line in each of the images; determining aquatic creature range data according to each of the binarized pixel data sets; determining aquatic creature range data sets according to the binarized pixel data sets; determining identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets according to the aquatic creature range data sets; and determining a number of aquatic creatures passing through the scan line according to the identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets.

A system and a method for counting aquatic creatures are provided. The system includes an image capture device and a computer system configured to perform the method. The method includes: using the image capture device to capture images of a flow channel; defining a scan line in the images; performing a binarization process on pixels of the scan line in each of the images; determining aquatic creature range data according to each of the binarized pixel data sets; determining aquatic creature range data sets according to the binarized pixel data sets; determining identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets according to the aquatic creature range data sets; and determining a number of aquatic creatures passing through the scan line according to the identification and direction information of aquatic creature corresponding to each of the aquatic creature range data sets.