Disclosed are fibers which contains identification fibers. The identification fibers can contain a plurality of distinct features, or taggants, which vary among the fibers and/or along the length of the identification fibers of the fibers, a fiber band, or. The disclosed embodiments also relate to the method for making and characterizing the fibers. Characterization of the fibers can include identifying distinct features, combinations of distinct features, and number of fibers with various combinations of distinct features to supply chain information. The supply chain information can be used to track the fibers, fiber band, or yarn from manufacturing through intermediaries, conversion to final product, and/or the consumer.

Disclosed are fibers which contains identification fibers. The identification fibers can contain a plurality of distinct features, or taggants, which vary among the fibers and/or along the length of the identification fibers of the fibers, a fiber band, or. The disclosed embodiments also relate to the method for making and characterizing the fibers. Characterization of the fibers can include identifying distinct features, combinations of distinct features, and number of fibers with various combinations of distinct features to supply chain information. The supply chain information can be used to track the fibers, fiber band, or yarn from manufacturing through intermediaries, conversion to final product, and/or the consumer.

A statistical method and device for customer flow volume. The method comprises: obtaining video image information in a preset monitoring area; performing video analysis on the video image information and determining a movement direction of a first target person appearing in the preset monitoring area according to an analysis result; obtaining, through statistics, incoming or outgoing customer flow volume of the actual detection area according to the determined movement direction of the first target person; reading a first terminal identifier, detected by a WiFi detector, of a WiFi terminal apparatus carried by the first target person; judging whether the first terminal identifier is present in a preset terminal identifier database for non-customer personnel; if so, decreasing the incoming or outgoing customer flow volume by 1; otherwise, making no change to the incoming or outgoing customer flow volume.

A low-profile visual counting system is provided and designed to count pills or other small discrete objects. This technology is vision based, which allows a pharmacist or other user to pour pills onto a counting surface in a single layer, and then the device tells the user how many pills are on that surface. The present device places the camera and preferably an infrared light source below the counting surface. This offers the unique advantage of not having to mount a camera above the counting surface which reduces the size and improves the aesthetic characteristics of such a device. The image is captured and then processed to determine the number of pills on the surface. This system may be interfaced with other networks, terminals, and existing pharmacy management systems.

A low-profile visual counting system is provided and designed to count pills or other small discrete objects. This technology is vision based, which allows a pharmacist or other user to pour pills onto a counting surface in a single layer, and then the device tells the user how many pills are on that surface. The present device places the camera and preferably an infrared light source below the counting surface. This offers the unique advantage of not having to mount a camera above the counting surface which reduces the size and improves the aesthetic characteristics of such a device. The image is captured and then processed to determine the number of pills on the surface. This system may be interfaced with other networks, terminals, and existing pharmacy management systems.

A counting device including a wall that delimits an internal space; an object counter that is positioned in the internal space and includes a measuring lens, which optically delimits a detection zone outside the counting device. The wall of the counting device includes an aperture positioned in front of, preferably centered relative to, the measuring lens, the measuring lens and the aperture being arranged to transmit to the counter a flux emitted by the objects present in the detection zone.

A counting device including a wall that delimits an internal space; an object counter that is positioned in the internal space and includes a measuring lens, which optically delimits a detection zone outside the counting device. The wall of the counting device includes an aperture positioned in front of, preferably centered relative to, the measuring lens, the measuring lens and the aperture being arranged to transmit to the counter a flux emitted by the objects present in the detection zone.

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.

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.