Target for image recognition of position and displacement

Abstract

The utility model provides a target for image recognition position and displacement, which comprises a target seat and a target disc, the target seat is fixedly arranged at a point position to be recognized, the target disc is detachably mounted on the upper portion of the target seat, a recognition target image is arranged on the front vertical face of the target disc, the whole recognition target image is in a square shape, and the recognition target image is arranged on the front vertical face of the target disc. The identification target image is formed by combining and splicing a plurality of square areas and L-shaped areas, and the identification target image is arranged in a central symmetry manner. According to the novel target provided by the utility model, the centrosymmetric square pattern is selected as the target pattern, the edge area formed by the L-shaped area wraps the matts formed by the square area, and the adjacent areas are provided with colors with different luminosity for distinguishing, so that the identification is more accurate through visual inspection equipment; the anti-interference performance is high, and the recognition precision is higher.

Description

Technical Field

[0001] The utility model relates to the technical field of positioning image recognition, in particular to a target used for image recognition of position and displacement. Background Art

[0002] Before accidents occur in landslides, reservoirs, dams, tunnels, buildings, subways, etc., cracks or deformations and relative displacements in multiple locations often appear. If abnormal relative displacement is measured at a certain location, an early warning of the accident can be issued.

[0003] There are many methods for automatically measuring displacement, such as displacement transmitters and ultrasonic displacement meters. However, these sensors are expensive and inconvenient to install. As camera costs continue to decrease, their use is gradually gaining popularity. For example, measuring the displacement of a car using video images to calculate its driving trajectory is widely used in transportation. However, these displacement measurements are crude and less accurate. To accurately measure the displacement of two points using images, a dedicated target is generally required.

[0004] Circular targets and cross targets are the most common targets. The circular target uses the center of the circle as the center point, while the cross target uses the center of the cross as the center point.

[0005] The principle behind using targets to detect relative displacement is as follows: several targets are placed in the area to be inspected, and a camera is positioned in front of each target, with the target surface facing the camera. When the camera takes a photo or records a video, the targets appear on the image. The image is then analyzed to identify the pixel positions of the target's center points, allowing the relative positions of the targets to be calculated. The relative positions of the targets are then compared with their relative positions in previous images. Any sudden or abnormal positional changes indicate that a target has shifted.

[0006] However, this type of target is easily interfered with by other light sources or similar objects in image recognition, resulting in recognition errors or large displacement errors of the recognition center point.

[0007] There is a need for a new type of target for image recognition position and displacement that can solve the above-mentioned problems. Utility Model Content

[0008] The utility model provides a target for image recognition position and displacement, and solves the problem that the existing target recognition accuracy is poor and it is easy to be disturbed by other light sources or objects and cause recognition errors by technical transformation of the existing target used for image recognition.

[0009] In order to achieve the above purpose, the technical solution adopted by the utility model is:

[0010] A target for image recognition of position and displacement includes a target base and a target plate. The target base is fixedly arranged at a point to be identified. The target plate is detachably mounted on the upper portion of the target base. An identification target image is provided on the front elevation of the target plate. The identification target image is square in shape as a whole and is composed of a combination of several square areas and L-shaped areas.

[0011] Preferably, the recognition target image is provided with a field area and an edge area, the field area is composed of several square areas, the field area is surrounded by an edge area, the edge area is a ring area formed by connecting several L-shaped areas end to end, and the center point of the field area serves as the center point of the recognition target image.

[0012] Preferably, the square area is set to 4 blocks, and the L-shaped area is set to 4 blocks.

[0013] Preferably, the square area is set as a square area.

[0014] Preferably, adjacent square areas and L-shaped areas are set to colors of different brightness for distinction, and the bright color area is coated with a reflective material layer.

[0015] Preferably, the identification target images are arranged in a centrally symmetrical manner.

[0016] The beneficial effects of the present invention are:

[0017] The utility model provides a new type of target, which uses a centrally symmetrical square pattern as the target pattern. The edge area formed by the L-shaped area wraps the square area formed by the square area, and the adjacent areas are set with different colors of lightness and darkness for distinction. The L-shaped edge area wraps the square area formed by the square area. The main function is to isolate the complex pattern of the surrounding environment from the area on the image, effectively identify the area, and remove the influence of the surrounding environment, which is conducive to effectively solving the problem of misidentification. In this way, identification by visual detection equipment is more accurate, has stronger anti-interference ability, and higher recognition accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the structure of the utility model;

[0019] Figure 2 This is a schematic diagram of the target image recognition of the utility model;

[0020] Description of the accompanying drawings: target base 1, target plate 2, recognition target image 3, square area 31, L-shaped area 32, field area 33, edge area 34, first color area 35, second color area 36. DETAILED DESCRIPTION

[0021] The specific contents of the utility model are described in detail below with reference to the accompanying drawings and embodiments.

[0022] See also Figure 1-2 As shown, the utility model provides a target for image recognition of position and displacement, including a target base 1 and a target plate 2. The target base 1 is fixedly arranged at the point to be identified, and the target plate 2 is detachably mounted on the upper part of the target base 1. The front elevation of the target plate 2 is provided with an identification target image 3. The identification target image 3 is square in shape as a whole, and is composed of a combination of several square areas 31 and L-shaped areas 32.

[0023] The bottom of the target base 1 can be provided with a plug pile, which is convenient for inserting into the soil for fixation, and a high-strength, corrosion-resistant metal material (such as stainless steel) is selected to ensure stability and durability in harsh environments and extend service life.

[0024] The target base 1 may be provided with an adjustable fixing device to control the height position of the target plate 2, and the target plate 2 may be detachably installed for easy maintenance or replacement.

[0025] Furthermore, in order to obtain a more accurate recognition effect, the recognition target image 3 is provided with a field area 33 and an edge area 34. The field area 33 is composed of several square areas 31. The field area 33 is surrounded by an edge area 34 on the outside. The edge area 34 is a ring area formed by connecting several L-shaped areas 32 end to end. The center point of the field area 33 serves as the center point of the recognition target image 3.

[0026] Furthermore, in one embodiment, the square area 31 is set to 4 blocks, and the L-shaped area 32 is set to 4 blocks.

[0027] Furthermore, the square area 31 is set as a square area.

[0028] Furthermore, adjacent square areas 31 and L-shaped areas 32 are configured with different colors for differentiation. The identification target image 3 includes a first color area 35 and a second color area 36, ​​which are adjacently arranged. Preferably, adjacent square areas and L-shaped areas are configured with different colors for differentiation, and the bright color areas are coated with a reflective material layer, facilitating the display of a clear target light and dark pattern at night or in low light conditions.

[0029] Furthermore, the identification target images 3 are arranged in a centrally symmetrical manner.

[0030] This embodiment provides a new type of target, using a centrally symmetrical square pattern as the target pattern. An L-shaped edge region 34 formed by an L-shaped region 32 encloses a field region 33 formed by a square region 31. Adjacent regions are distinguished by colors of varying brightness. This allows for more accurate recognition by visual inspection equipment, enhanced anti-interference capabilities, and higher recognition accuracy. The L-shaped edge region encloses the field region formed by the square regions. This primarily isolates the complex patterns of the surrounding environment from the field region in the image, effectively identifying the field region and removing the influence of the surrounding environment, effectively resolving misidentification issues.

[0031] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the utility model and are not limiting. Although the utility model is described in detail with reference to the preferred embodiments, ordinary technicians in this field should understand that the technical solution of the utility model can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the utility model, which should be included in the scope of the claims of the utility model.

[0032] The standard parts used in this utility model can all be purchased from the market, and special-shaped parts can be customized according to the description in the specification and the drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the existing technology. The machinery, parts and equipment all adopt conventional models in the existing technology, and the circuit connection adopts the conventional connection method in the existing technology, which will not be described in detail here.

[0033] In the description of this utility model, unless otherwise expressly specified or limited, the terms "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or connection through an intermediate medium; internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in this utility model based on the specific circumstances.

Claims

1. A target for image recognition of position and displacement, characterized in that: It includes a target base and a target plate. The target base is fixedly set at the point to be identified. The target plate is detachably installed on the upper part of the target base. The front facade of the target plate is provided with an identification target image. The identification target image is square as a whole and is composed of a combination of several square areas and L-shaped areas.

2. A target for image recognition of position and displacement according to claim 1, characterized in that: The recognition target image is provided with a field area and an edge area. The field area is composed of several square areas. The field area is surrounded by an edge area. The edge area is a ring area formed by connecting several L-shaped areas end to end. The center point of the field area serves as the center point of the recognition target image.

3. A target for image recognition of position and displacement according to claim 2, characterized in that: The square area is set to 4 blocks, and the L-shaped area is set to 4 blocks.

4. A target for image recognition of position and displacement according to claim 2, characterized in that: The square area is set as a square area.

5. The target for image recognition of position and displacement according to claim 2, characterized in that: Adjacent square areas and L-shaped areas are set to different colors of lightness and darkness for distinction, and the bright color area is coated with a reflective material layer.

6. The target for image recognition of position and displacement according to claim 1, characterized in that: The identification target images are arranged in a centrally symmetrical manner.

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