VIVOTEK INC.

An image content analysis method is applied to an image analysis apparatus and includes acquiring an image, utilizing an edge detection technology to compute an edge density of the image, utilizing a texture detection technology to compute a texture richness of the image, and analyzing the edge density and the texture richness to generate a richness score of the image.

A camera device with a uniform illumination effect includes a base, a plurality of camera units, a light source and a covering component. The plurality of camera units is disposed on the base. The light source is located among the plurality of camera units. The covering component is disposed on the base to cover the plurality of camera units and the light source. The covering component includes a central area and an outer ring area. The outer ring area is disposed around the central area and corresponds to the plurality of camera units. The central area is integrally formed with the outer ring area and corresponds to the light source.

An image analysis method is applied to a surveillance apparatus and includes an operation processor of the surveillance apparatus setting a first object bonding box within a surveillance image, the operation processor acquiring data of a candidate bonding box within the surveillance image via a first object threshold, the operation processor computing an intersection parameter of the first object bonding box and the candidate bonding box, and the operation processor deciding a first object decided threshold in accordance with the intersection parameter.

A natural language image searching method is applied to an image searching system including an image analysis unit, a data management unit and an instruction input unit. The natural language image searching method includes an image feature vector encoder of the image analysis unit receiving a detection image and generating an image feature vector, the image analysis unit transmitting the detection image, the image feature vector, and a time stamp associated with the detection image to the data management unit, a text encoder of the instruction input unit generating and transmitting a text feature vector to the data management unit in accordance with a query statement, and the data management unit determining whether the query statement generated by the instruction input unit via natural language conforms to the detection image in accordance with a comparison result between the text feature vector and the image feature vector.

A resolution detection device is applied to a camera device and includes at least one arc-shaped structural member and an identification member. The at least one arc-shaped structural member is disposed on a position distant from a detection point in a predefined distance. The identification member includes a plurality of identification patterns. The identification member is formed on the at least one arc-shaped structural member, and a plurality of intervals between the detection point and each of the plurality of identification patterns is set as the predefined distance. The camera device acquires a captured image via the detection point, and the captured image contains the plurality of identification patterns. The resolution detection device further includes a relay lens disposed on the detection point.

An image analysis method is applied to a camera apparatus and used to analyze the landform inside a detection image captured by the camera apparatus via a predefined installation angle. The image analysis method includes dividing the detection image into a plurality of first regions to acquire a plurality of first height, defining some first regions with the same height and adjacent to each other as a first reference plane area to acquire a first plane formula, selecting at least one first region adjacent to and outside the first reference plane area, applying the selected first region for the first plane formula to acquire a first planar height and comparing the first planar height with an initial first height of the at least one first region, and determining landform between the first reference plane area and the selected at least one first region in accordance with a comparison result.

An image calibration method is used to calibrate position offset between a first image and a second image captured by a surveillance apparatus in different zoom modes. The image calibration method includes acquiring a plurality of first feature points of the first image and a plurality of second feature points of the second image, dividing the plurality of first feature points and the plurality of second feature points at least into a first group and a second group according to distribution density of the plurality of first feature points and the plurality of second feature points, deciding whether the first group corresponds to the second group, and utilizing coordinates of the first group and coordinates of the second group to compute a position shifting value when the first group corresponds to the second group.

An image recognition method is applied to an image recognition device and used to determine whether the same target object is existed in different images. The image recognition method includes analyzing two continuous images of an image stream to respectively search two target objects and acquire a plurality of feature vectors of the two target objects, computing two distances of the two target objects respectively relative to one reference point of the two continuous images, utilizing the two distances to acquire a corresponding weight of partial feature vectors of the plurality of feature vectors, and utilizing the corresponding weight to adjust the partial feature vectors for generating similarity of the two target objects.