Pupae counting device that allows the automatic quantification of the youth-adult transition in groups of flies, like Drosophila. It comprises a circular platform, one or more tube holders positioned on the platform, one or more sample tubes, inserted into each tube holder, and intended to contain the pupae, a camera for recording video and images, directed towards the platform, a central motor linked and rotating the platform in front of the camera, until a sample tube of interest is positioned in front of the camera, and an external motor positioned beside the platform, for rotating the sample tube of interest 360 over itself in front of the camera.

Pupae counting device that allows the automatic quantification of the youth-adult transition in groups of flies, like Drosophila. It comprises a circular platform, one or more tube holders positioned on the platform, one or more sample tubes, inserted into each tube holder, and intended to contain the pupae, a camera for recording video and images, directed towards the platform, a central motor linked and rotating the platform in front of the camera, until a sample tube of interest is positioned in front of the camera, and an external motor positioned beside the platform, for rotating the sample tube of interest 360 over itself in front of the camera.

A living body detection device includes a receiver that receives, from at least one non-contact sensor, a measurement result obtained by measuring a detection area with the at least one non-contact sensor, an extraction circuit that extracts a biological signal from the measurement result, a counting circuit that counts the number of living bodies present in the detection area from the biological signal, and an acquisition circuit that acquires a prescribed number of living bodies to be present in the detection area, and a verification circuit that verifies whether the number of living bodies counted by the counting circuit is equal to the prescribed number and outputs a result of verification.

A living body detection device includes a receiver that receives, from at least one non-contact sensor, a measurement result obtained by measuring a detection area with the at least one non-contact sensor, an extraction circuit that extracts a biological signal from the measurement result, a counting circuit that counts the number of living bodies present in the detection area from the biological signal, and an acquisition circuit that acquires a prescribed number of living bodies to be present in the detection area, and a verification circuit that verifies whether the number of living bodies counted by the counting circuit is equal to the prescribed number and outputs a result of verification.

Disclosed are image based counting systems and methods. Image based counting systems and methods employ one or more imaging devices (e.g., one or more color cameras) and one or more illumination devices (e.g., one or more illumination sources to provide variable and/or dynamic lighting). In some examples, the image based counting system provides illumination to a tray upon which one or more items (e.g., pills) are placed. The illuminated items are then imaged by the one or more imaging devices based on one or more imaging techniques or processes to determine and/or present information associated with one or more properties of the item.

An embodiment of the present invention provides a counting information updating method for a portable electronic device having a plurality of spheres connected with each other. The method includes: generating an angular velocity signal by a first sensor of the portable electronic device and generating an acceleration signal by a second sensor of the portable electronic device in response to a sphere moving operation; and estimating counting information corresponding to the sphere moving operation by using the angular velocity signal with an assistance of the acceleration signal.

An embodiment of the present invention provides a counting information updating method for a portable electronic device having a plurality of spheres connected with each other. The method includes: generating an angular velocity signal by a first sensor of the portable electronic device and generating an acceleration signal by a second sensor of the portable electronic device in response to a sphere moving operation; and estimating counting information corresponding to the sphere moving operation by using the angular velocity signal with an assistance of the acceleration signal.

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.

A chip recognition system in which a chip is configured to at least partially have a specific color indicative of a value of the chip includes: a recording device that uses a camera and records a state of the chip as an image; an image analysis device that subjects the image so recorded to image analysis and recognizes at least the specific color and a reference color that is present in the image and differs from the specific color; and a recognition device at least including an artificial intelligence device that uses a result of the image analysis by the image analysis device and specifies the specific color of the chip, wherein the artificial intelligence device of the recognition device has been subjected to teaching using, as training data, a plurality of images of the chip and the reference color irradiated with different illumination intensities.

A chip recognition system in which a chip is configured to at least partially have a specific color indicative of a value of the chip includes: a recording device that uses a camera and records a state of the chip as an image; an image analysis device that subjects the image so recorded to image analysis and recognizes at least the specific color and a reference color that is present in the image and differs from the specific color; and a recognition device at least including an artificial intelligence device that uses a result of the image analysis by the image analysis device and specifies the specific color of the chip, wherein the artificial intelligence device of the recognition device has been subjected to teaching using, as training data, a plurality of images of the chip and the reference color irradiated with different illumination intensities.