The present disclosure relates to a supplementary device for attachment to an injection device including an imaging arrangement configured to capture an image of a moveable number sleeve of the injection device, a plurality of light sources, and a processor arrangement configured to control operation of the imaging arrangement and the plurality of light sources and to receive image data from the imaging arrangement. In some instances, the processor arrangement is configured to activate the plurality of light sources sequentially and to combine multiple images captured by the imaging apparatus under different illumination conditions into a single image.

An animal movement prediction method including the steps of establishing, obtaining, processing, receiving and predicting. The establishing step establishes a wireless mesh network of a plurality of remote imaging sensors. Each sensor is established in the wireless mesh network by installing the sensor on an object to detect the animal in a detection zone; and activating the sensor. The obtaining step obtains an image by way of the first imaging sensor. The processing step process the image by removing image information that is not part of an animal in the image thereby creating an animal image and compiling animal detection information of the animal. The receiving step receives animal detection information from the sensors by way of the mesh network. The animal detection information includes a time of detection. The predicting step predicts the future movements of animals dependent upon the animal detection information.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A printer has a light source that directs light toward a print medium path. An RGB sensor is positioned to receive light from the light source that is reflected by the print medium. An infrared light filter is situated between the RGB sensor and the paper to filter out infrared light. A programmed processor is coupled to an output of the RGB sensor in order to detect form elements in the output from the RGB light sensor, retrieve a stored electronic representation of a form, match the form elements to the stored electronic representation of the form to identify locations on the form, and control printing to the form.

A system for placing and removing pipe from a finger rack of a drilling rig, the system comprising a pipe handling apparatus (140) and a finger rack (139) having at least one finger board (102) having at least two fingers (103 to 106) defining a slot (107 to 109) and a multiplicity of latches (114) arranged therebetween defining a space for a pipe, each latch (114) of the multiplicity of latches selectively movable between an open position and a closed position, the system further comprising at least one camera (101) having said at least one latch (114) of said multiplicity of latches in a field of view, capturing an image of said latch and sending said image to a master control computer (12′), said master computer control computer (12′) programmed with a set of instructions to analyse said image for details indicative of the latch (114) being in an open position or closed position, concluding the latch (114) to be in an open position or closed position and allowing or disallowing a pipe handling apparatus to place or remove a pipe in the finger rack (139) based on said conclusion.

An image processing apparatus includes: a recognition unit configured to recognize products from a captured image obtained by capturing an image of displayed products; and a detection unit configured to detect, based on store fixture information related to a store fixture in which the products are displayed, a region of a product that is included in the captured image but is not recognized by the recognition unit.

Proposed is a parking terminal (1), which encompasses a module (2), which integrates at least one component for operation of the parking terminal (1) and/or interaction between the parking terminal (1) and a vehicle passenger of a vehicle standing at the parking terminal (1) which, upon detection of a vehicle standing at the parking terminal (1), is reversibly moved out of the parking terminal (1) by a driving means for a prescribed distance in the direction of the standing vehicle.

The present invention relates to a character information recognition method based on image processing. The method comprises: collecting images to obtain a target character image; then sequentially comparing the target character image with character template images in a character template library to find a maximum of a coincidence area of the character in the target character image with the character templates in the character template images; and when the coincidence area meets a preset condition, determining the target character to be recognized as the character in the corresponding character template image. The character templates are designed to include not only a coincidence-permitted region but also a coincidence-restricted region. The coincidence-restricted region is set, so that the direct comparing and matching of the character templates can be more accurately carried out, thereby improving the recognition speed.

An image processing module can compare a face image of a user with a registered image which is a face image of a normal user, and detect a line of sight from the face image of the user. When the comparison between the face image of the user and the registered image matches at a part other than a line of sight, a control module can determine that an authentication of a user is successful, and start an application corresponding to a direction of the line of sight of the user or display a pre-set screen on a display.

A commodity monitoring device includes a visitor number acquirer that acquires the number of visitors, a purchasing customer number acquirer that acquires the number of purchasing customers who purchase a commodity, a statistical information generator that generates statistical information, based on the number of visitors and the number of purchasing customers, a commodity detector that detects commodity, based on a captured image of a display area, a sales opportunity loss analyzer that analyzes a cause of the sales opportunity loss from a commodity detection result, and a display screen generator that generates a monitoring screen in which a display image representing the cause of the sales opportunity loss is superimposed on the image of the display area.